Deck 9: Inferences Based on Two Samples

Question 1

In testing denote the two population properties, the P-value is found to be .0715. Then at .05 level, should __________.

Answer 1

not be rejected

Question 2

Let be a random sample from a normal population with mean be a random sample from a normal population with mean be a random sample from a normal population with mean =16, and that X and Y samples are independent of one another. If the sample mean values are then the value of the test statistic to test is z = __________ and that will be rejected at .01 significance level if

Answer 2

-1.45, 2.58, -2.58

Question 3

The pooled t confidence interval for estimating with confidence level using two independent samples X and Y with sizes m and n is given by __________.

Answer 3

Question 4

Provided that at least one of the sample sizes m and n of two independent samples X and Y is small, and that the corresponding populations are both normally distributed with unknown values of the population variances, then a confidence interval for the difference between the two population means, with a confidence level of is __________.

Question 5

A 90% confidence interval for the true mean difference in paired data consisting of n independent pairs, is determined by the formula __________.

Question 6

The degrees of freedom associated with the pooled t test, based on sample sizes m and n, is given by __________.

Question 7

The number of degrees of freedom for a paired t test, where the data consists of n independently pairs is __________.

Question 8

Let be a random sample from a population with mean be a random sample with mean and that the X and Y samples are independent of one another. The expected value of is __________ and the standard deviation of = __________.

Question 9

Analogous to the notation for the point on the axis that captures __________ of the area under the F density curve with degrees of freedom in the __________ tail.

Question 10

The weighted average of the variances of two independent samples is referred to as the __________ of (the common variance of the two population variances), and is denoted by __________.

Question 11

The rejection region for level .025 paired t test in testing is __________, where the data consists of 12 independent pairs.

Question 12

Let with X and Y independent variables, and let is an __________ estimator of

Question 13

Provided that the sample sizes m and n of two independent samples X and Y are both large , then a confidence interval for the difference between the two population means, with a confidence level of approximately is __________, where the values of the population variances are unknown.

Question 14

In testing the computed value of the test statistic is z = 2.25. The P-value for this two-tailed test is then __________.

Question 15

Investigators are often interested in comparing the effects of two different treatments on a response. If the individuals or subjects to be used in the comparison are not assigned by the investigators to the two treatments, the study is said to be __________. If the investigators assign individuals or subjects to the two treatments in a random fashion, this is referred to as __________.

Question 16

In testing where is the true mean difference in paired data consisting of 16 independent pairs, the value of the test statistic is found to be 2.8. Then the P-value is approximately __________.

Question 17

The pooled t procedures are alternatives to the two-sample t procedures for situations in which not only the two population distributions are assumed to be __________ but also they have equal __________.

Question 18

If are independent __________ random variables with degrees of freedom respectively, then the random variable has an F distribution.

Question 19

In testing where denote the two population proportions, the standardized variable is an estimate of the common value of and m and n are the two sample sizes, has approximately a standard normal distribution when __________.

Question 20

In testing denote the two population proportions, the following summary statistics are given: m = 400, x = 140, n = 500 and y = 160. Then the value of the test statistic is z = __________.

Question 21

Which of the following statements are true?

A) When the alternative hypothesis is $H_{0} \cdot \mu_{1}-\mu_{2}<\Delta_{0}$

The null hypothesis $H _ { o } \text { should be rejected if } \bar { x } - \bar { y }$
Is considerably smaller than the null value $\Delta _ { 0 }$
)
B) When the alternative hypothesis is $H_{0} \cdot \mu_{1}-\mu_{2}<\Delta_{0}$

The null hypothesis $H _ { o } \text { should be rejected if } \bar { x } - \bar { y }$
Is considerably larger than the null value $\Delta _ { 0 }$
)
C) When the alternative hypothesis is $H_{0} \cdot \mu_{1}-\mu_{2} \neq \Delta_{0}$

The null hypothesis $H _ { o } \text { should be rejected if } \bar { x } - \bar { y }$
Is too far to either side of the null value $\Delta _ { 0 }$
)
D) All of the above statements are true.
E) None of the above statements are true.

Question 22

The degrees of freedom associated with the pooled t test, based on sample sizes 10 and 12 are

A) 22
B) 21
C) 20
D) 19
E) 18

Question 23

In testing $H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0 \text { versus } H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } \neq 0$ the computed value of the test statistic is z = 1.98. The P-value for this two-tailed test is then

A) .4761
B) .0478
C) .0239
D) .2381
E) .2619

Question 24

Which of the following statements are not necessarily true about the paired t test?

A) The data consists of n independently selected pairs $\left( X _ { 1 } , Y _ { 1 } \right) , \left( X _ { 2 } , Y _ { 2 } \right) , \ldots \ldots , \left( X _ { n } , Y _ { n } \right)$
B) The differences $X _ { 1 } - Y _ { 1 } , X _ { 2 } - Y _ { 2 } , \ldots \ldots , X _ { n } - Y _ { n }$
Are assumed to be normally distributed.
C) The X and Y observations within each pair $\left( X _ { 1 } , Y _ { 1 } \right) , \left( X _ { 2 } , Y _ { 2 } \right) , \ldots \ldots , \left( X _ { n } , Y _ { n } \right)$
Are independent.
D) The $\bar { X } \text { and } \bar { Y }$
Are not independent of one another.
E) All of the above statements are true.

Question 25

In calculating 95% confidence interval for $\mu _ { 1 } - \mu _ { 2 } ;$ the difference between the means of two normally distributed populations, summary statistics from two independent samples are: $m = 60 , \bar { x } = 180 , s _ { 1 } ^ { 2 } = 360 , n = 45 , \bar { y } = 160 , \text { and } s _ { 2 } ^ { 2 } = 900$ Then, the lower limit of the confidence interval is:

A) 29.994
B) 11.587
C) 10.006
D) 10.797
E) 28.413

Question 26

Two independent samples of sizes 15 and 17 are randomly selected from two normal populations with equal variances. Which of the following distributions should be used for developing confidence intervals and for testing hypotheses about the difference between the two population means $\left( \mu _ { 1 } - \mu _ { 2 } \right) ?$

A) The standard normal distribution
B) The t distribution with 32 degrees of freedom
C) The t distribution with 31 degrees of freedom
D) The t distribution with 30 degrees of freedom
E) Any continuous distribution since the sum of the two sample sizes exceeds 30

Question 27

At the .05 significance level, the null hypothesis $H _ { o } : \mu _ { D } \geq 0$ is rejected in a paired t test, where the data consists of 15 independent pairs, if

A) $t < - 1.761$
B) $t > 1.761$
C) either $t \langle - 1.761 \text { or } t > 1.761$
D) $t < - 1.701$
E) $t > 1.701$

Question 28

In calculating 95% confidence interval for $\mu _ { 1 } - \mu _ { 2 } ;$ the difference between the means of two normally distributed populations, summary statistics from two independent samples are: $m = 10 , \bar { x } = 50 , s _ { 1 } ^ { 2 } = .64 , n = 10 , \bar { y } = 40 \text {, and } s _ { 2 } ^ { 2 } = 1.86$ Then, the upper limit of the confidence interval is

A) 10.953
B) 9.047
C) 9.216
D) 10.784
E) 10.0

Question 29

Which of the following statements are not true if a test procedure about the difference between two population means $\mu _ { 1 } - \mu _ { 2 }$ is performed when both population distributions are normal and that the values of both population variances $\sigma _ { 1 } \text { and } \sigma _ { 2 }$ are known?

A) The rejection region for level $\alpha \text { test is } z \geq z _ { \alpha }$
If the test is an upper-tailed test.
B) The rejection region for level $\alpha \text { test is } z \leq z _ { \alpha }$
If the test is a lower-tailed test.
C) The rejection region for level $\alpha \text { test is either } z \geq z _ { \alpha / 2 } \text { or } z \leq - z _ { \alpha / 2 }$
If the test is a two-tailed test.
D) All of the above statements are true.
E) None of the above statements are true.

Question 30

Which of the following statements are true?

A) In real problems, it is virtually always the case that the values of the population variances are unknown.
B) The two-sample t test is applicable in situations in which population distributions are both normal when population variances have unknown values, and at least one of the two sample sizes are small.
C) The pooled t test procedure is applicable if the two population distribution curves are assumed normal with equal spreads.
D) All of the above statements are true.
E) None of the above statements are true.

Question 31

In testing degrees of freedom, if the test statistic value f = 4.53, then P-value = __________.

Question 32

Let be a random sample from a normal distribution with variance be another random sample (independent of the from a normal distribution with variance denote the two sample variances. Then the random variable has an F distribution with

Question 33

Which of the following statements are not correct assumptions for developing pooled confidence intervals and for testing hypotheses about the difference between two population means $\left( \mu _ { 1 } - \mu _ { 2 } \right) ?$

A) Both populations are normally distributed
B) The samples selected from the two populations are independent random samples.
C) At least one of the two sample sizes is small.
D) The two population variances are equal $\left( σ _ { 1 } ^ { 2 } = σ _ { 2 } ^ { 2 } \right)$
E) The two population variances are not equal $\left(σ _ { 1 } ^ { 2 } \neq σ _ { 2 } ^ { 2 } \right)$

Question 34

Which of the following statements are not true?

A) Many statisticians recommend pooled t procedures over the two-sample t procedures.
B) The pooled t test is not a likelihood ratio test, whereas the two-sample t test can be derived from the likelihood ratio principle.
C) The significance level for the pooled t test is exact.
D) The significance level for the two-sample t test is only approximate.
E) All of the above statements are true

Question 35

Let $X _ { 1 } , X _ { 2 } , \ldots \ldots , X _ { \mathrm { m } }$ be a random sample from a population with mean $\mu _ { 1 } \text { and variance } \sigma _ { 1 } ^ { 2 } \text {, and let } Y _ { 1 } , Y _ { 2 } , \ldots \ldots , Y _ { n }$ be a random sample from a population with mean $\mu _ { 2 } \text { and variance } \sigma _ { 2 } ^ { 2 } \text {, }$ and that the X and Y samples are independent of one another. Which of the following statements are not true?

A) The natural estimator of $\mu _ { 1 } - \mu _ { 2 } \text { is } \bar { X } - \bar { Y }$
B) The expected value of $\bar { X } - \bar { Y } \text { is } \mu _ { 1 } - \mu _ { 2 }$
C) The expected value of $\mu _ { 1 } - \mu _ { 2 } \text { is } \bar { X } - \bar { Y }$
D) $\bar { X } - \bar { Y }$
Is an unbiased estimator of $\mu _ { 1 } - \mu _ { 2 }$
E) All of the above statements are true.

Question 36

When variances $S _ { 1 } ^ { 2 } \text { and } S _ { 2 } ^ { 2 }$ of two independent samples are combined and $S ^ { 2 }$ is computed, the $S ^ { 2 }$ is referred to as

A) the pooled estimator of $S ^ { 2 }$
B) the combined estimator of $S ^ { 2 }$
C) the pooled estimator of the common variance $\sigma ^ { 2 }$
Of the two populations
D) the adjusted estimator of $S ^ { 2 }$
E) None of the above answers are correct.

Question 37

Let $X _ { 1 } , X _ { 2 } , \ldots \ldots , X _ { \mathrm { m } }$ be a random sample from a normal population with mean $\mu _ { 1 } \text { and known variance } \sigma _ { 1 } ^ { 2 } \text {, }$ and let $Y _ { 1 } , Y _ { 2 } , \ldots \ldots , Y _ { n }$ be a random sample from a normal population with mean $\mu _ { 2 } \text { and variance } \sigma _ { 2 } ^ { 2 } \text {, }$ and that the X and Y samples are independent of one another. Which of the following statements are true?

A) $\bar { X }$
Is normally distributed with expected value $\mu _ { 1 } \text { and variance }σ _ { 1 } ^ { 2 } / m$
B) $\bar { Y }$
Is normally distributed with expected value $\mu_{2} \text { and variance } σ_{2}^{2} / n$

C) $\bar { X } - \bar { Y }$
Is normally distributed with expected value $\mu _ { 1 } - \mu _ { 2 } \text { and variance } \left(σ _ { 1 } ^ { 2 } / m + \sigma _ { 2 } ^ { 2 } / n \right) \text {. }$
D) $\bar { X } - \bar { Y }$
Is an unbiased estimator of $\mu _ { 1 } - \mu _ { 2 }$
)
E) All of the above statements are true.

Question 38

Let $X _ { 1 } , X _ { 2 } , \ldots \ldots , X _ { 40 }$ be a random sample from a normal population with mean $\mu _ { 1 }$ and variance $\sigma _ { 1 } ^ { 2 } = 2.56 \text {, and let } Y _ { 1 } , Y _ { 2 } , \ldots \ldots Y _ { 32 }$ be a random sample from a normal population with mean $\mu _ { 2 } \text { and variance } \sigma _ { 2 } ^ { 2 } = 1.96 \text {, }$ and that X and Y samples are independent of one another. Assume the sample mean values are $\bar { x } = 18 \text { and } \bar { y } = 17$ and we want to test $H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } = 0 \text { versus } H _ { 0 } : \mu _ { 1 } - \mu _ { 2 } > 0 \text {. }$ Which of the following statements are correct?

A) The value of the test statistic is z = 2.83
B) The value of the test statistic is z = 1.88
C) $H _ { o }$
Is rejected at the .05 level if $z \leq 1.96$
D) $H _ { o }$
Is rejected at the .05 level if $z \leq 1.65$
E) None of the above statements are correct.

Question 39

The number of degrees of freedom for a paired t test, where the data consists of 10 independent pairs, is equal to

A) 20
B) 18
C) 10
D) 9
E) 8

Question 40

Two independent samples of sizes m and n and variances are selected at random from two normal distributions with variances In testing where the test statistic value is the rejection region for a level .05 test is either

Question 41

Suppose are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample test at significance level .01 to test for the following statistics:

Question 42

Let $X \square \operatorname { Bin } \left( m , p _ { 1 } \right) \text { and } Y \square \operatorname { Bin } \left( n , p _ { 2 } \right)$ with X and Y independent variables, and let $\hat { p } _ { 1 } = X / m \text { and } \hat { p } _ { 2 } = Y/ n$ Which of the following statements are not correct?

A) $E \left( \hat { p } _ { 1 } - \hat { p } _ { 2 } \right) = p _ { 1 } - p _ { 2 } \text {, so } \hat { p } _ { 1 } - \hat { p } _ { 2 }$
Is an unbiased estimator of $p _ { 1 } - p _ { 2 }$
B) When both m and n are large, the estimator $\hat { p } _ { 1 } - \hat { p } _ { \mathbf { 2 } }$
Individually has approximately normal distributions.
C) When both m and n are large, the estimator $\hat { p } _ { 1 } - \hat { p } _ { 2 }$
Has approximately a normal distribution.
D) $V \left( \hat { p } _ { 1 } - \hat { p } _ { 2 } \right) = p _ { 1 } q _ { 1 } / m \quad p _ { 2 } q _ { 2 } / n , \text { where } q _ { l } = 1 - p _ { l } \text { for } i = 1,2$
E) All of the above statements are correct.

Question 43

Let $: p _ { 1 } - p _ { 2 }$ denote two population proportions, and let $\hat { p } _ { 1 } = .39 , \text { and } \hat { p } _ { 2 } = .49$ be the sample proportions of samples of sizes 150 and 200, respectively. Then a large sample confidence interval for $: p _ { 1 } - p _ { 2 }$ with a confidence level of approximately 99% is determined by

A) $- .10 \pm 2.58 ( .0532 )$
B) $- .10 \pm 2.58 ( .0028 )$
C) $- .10 \pm 1.96 ( .0051 )$
D) $- .10 \pm 1.96 ( .0711 )$
E) $- .10 \pm 1.65 ( .0501 )$

Question 44

Let $X _ { 1 } , \ldots \ldots , X _ { m }$ be a random sample from a normal distribution with variance $\sigma _ { 1 } ^ { 2 } , \text { let } Y _ { 1 } , \ldots \ldots , Y _ { n }$ be another random sample (independent of the $\left. X _ { 2 } ^ { \prime } s \right)$ from a normal distribution with variance $\sigma _ { 2 } ^ { 2 } , \text { and } \mathrm { let } S _ { 1 } ^ { 2 } \text { and } S _ { 2 } ^ { 2 }$ denote the two sample variances. Which of the following statements are not true?

A) The random variable $F = \left( S _ { 1 } ^ { 2 } / \sigma _ { 1 } ^ { 2 } \right)/ \left( S _ { 2 } ^ { 2 } / \sigma _ { 2 } ^ { 2 } \right)$
Has an F distribution with parameters $v _ { 1 } = m - 1 \text { and } v _ { 2 } = n - 1$
B) The random variables $( m - 1 ) S _ { 1 } ^ { 2 } / σ _ { 1 } ^ { 2 } \text { and } ( n - 1 ) S _ { 2 } ^ { 2 } / σ _ { 2 } ^ { 2 }$
Each have a t distribution with m-1 and n-1 degrees of freedom, respectively.
C) The hypothesis $H _ { 0 } : σ _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 }$
Is rejected if the ratio of the sample variances differs by too much from 1.
D) In testing $H _ { o } : σ _ { 1 } ^ { 2 } = \sigma _ { 2 } ^ { 2 } \text { versus } H _ {0} : σ _ { 1 } ^ { 2 } >σ _ { 2 } ^ { 2 } \text {, }$
The rejection region for a level $\alpha \text { test is } f \geq F _ { \alpha , m - 1 n - 1 }$
E) All of the above statements are true.

Question 45

Which of the following statements are true?

A) Whenever there is positive dependence within pairs, the denominator for the paired t statistic should be smaller than for t of the independent-samples test.
B) When data is paired, the paired t confidence interval will usually be narrower than the (incorrect) two-sample t confidence interval.
C) If there is great heterogeneity between experimental units and a large correlation within experimental units, a paired experiment is preferable to an independent-samples experiment.
D) If the experimental units are relatively homogeneous and the correlation within pairs is not large, an independent-samples experiment should be used.
E) All of the above statements are true.

Question 46

Let $X _ { 1 } , \ldots \ldots , X _ { 20 }$ be a random sample from a normal distribution with variance $\sigma _ { 1 } ^ { 2 } , \mathrm { let } Y _ { 1 } , \ldots \ldots , Y _ { 25 }$ be another random sample (independent of the $\left. X _ { 2 } ^ { \prime } s \right)$ from a normal distribution with variance $\sigma _ { 1 } ^ { 2 } , \text { and let } S _ { 1 } ^ { 2 } \text { and } S _ { 1 } ^ { 2 }$ denote the two sample variances. Which of the following statements are not true in testing $H _ { 0 } : σ _ { 1 } ^ { 2 } = σ _ { 2 } ^ { 2 } ,$ where the test statistic value is $f = s _ { 1 } ^ { 2 } / s _ { 2 } ^ { 2 }$ and the test is performed at .10 level?

A) The rejection region is $f \geq F _ { 10,19,24 } \text { if } H _ { 0 } : \sigma _ { 1 } ^ { 2 } > \sigma _ { 2 } ^ { 2 }$
B) The rejection region is $f \leq F _ { 90,19,24 } \text { if } H _ { 0} : \sigma _ { 1 } ^ { 2 } < \sigma _ { 2 } ^ { 2 }$
C) The rejection region is either $f \geq F _ { 10,19,24 } \text { or } \mathrm { f } \leq \mathrm { F } _ { 90,19,24 }$
D) All of the above statements are true.
E) None of the above statements are true.

Question 47

A study comparing different types of batteries showed that the average lifetimes of Duracell Alkaline AA batteries and Eveready Energizer Alkaline AA batteries were given as 4.5 hours and 4.2 hours, respectively. Suppose these are the population average lifetimes.
a. Let
be the sample average lifetime of 150 Duracell batteries and
be the sample average lifetime of 150 Eveready batteries. What is the mean value of
(i.e., where is the distribution of
centered)? How does your answer depend on the specified sample sizes?
b. Suppose the population standard deviations of lifetime are 1.8 hours for Duracell batteries and 2.0 hours for Eveready batteries. With the sample sizes given in part (a), what is the variance of the statistic
, and what is its standard deviation?
c. For the sample sizes given in part (a), what is the approximate distribution curve of
(include a measurement scale on the horizontal axis)? Would the shape of the curve necessarily be the same for sample sizes of 10 batteries of each type? Explain.

Question 48

Let denote true average tread life for a premium brand of radial tire and let denote the true average tread life for an economy brand of the same size. Test versus at level .01 using the following statistics:

Question 49

Which of the following statements are true?

A) Methods for comparing two population variances (or standard deviations) are occasionally needed, though such problems arise much less frequently than those involving means or proportions.
B) If $X _ { 1 } \text { and } X _ { 2 }$
Are independent chi-squared random variables with $v _ { 1 } \text { and } v _ { 2 }$
Degrees of freedom, respectively, divided by their respective degrees of freedom can be shown to have an F distribution.
C) The density curve of an F distribution is positively skewed (skewed to the right).
D) All of the above statements are true.
E) None of the above statements are true.

Question 50

In testing $H _ { 0 } : p _ { 1 } - p _ { 2 } = 0 \text { versus } H _ { 0 } : p _ { 1 } - p _ { 2 } > 0 \text {, where } p _ { 1 } \text { and } p _ { 2 }$ denote the two population proportions, and both sample sizes are assumed to be large, the rejection region for approximate level .025 test is

A) $z \leq - 1.96$
B) $z \geq 1.96$
C) either $z \leq - 1.96 \text { or } z \geq 1.96$
D) $z \leq - 1.65$
E) $z \geq 1.65$

Question 51

In testing $H _ { 0 } : p _ { 1 } - p _ { 2 } = 0 \text { versus } H _ { 0} : p _ { 1 } - p _ { 2 } > 0 \text {, where } p _ { 1 } \text { and } p _ { 2 }$ denote the two population proportions, the value of the test statistic is found to be z = -1.82. Then, the P-value is

A) .9312
B) .4656
C) .0688
D) .0344
E) .9656

Question 52

Which of the following statements are not true about the F distribution with parameters $v _ { 1 } \text { and } v _ { 2 } \text { ? }$

A) The parameter $v _ { 1 }$
Is called the number of numerator degrees of freedom.
B) The parameter $v _ { 2 }$
Is called the number of denominator degrees of freedom.
C) A random variable that has an F distribution can assume a negative value; depends on the values of $v _ { 1 } \text { and } v _ { 2 }$
D) All of the above statements are true.
E) None of the above statements are true.

Question 53

Which of the following statements are not necessarily true?

A) The density curve of an F distribution is not symmetric, so it would be necessary that both upper-and lower-tail critical values must be tabulated.
B) $F _ { 1 - \alpha , v _ { 1 } , v _ { 2 } } = 1 / F _ { \alpha , v _ { 1 } , v _ { 1 } }$
C) There is an important connection between an F distribution and independent chi-squared random variables.
D) A random variable that has an F distribution cannot assume a negative value.
E) All of the above statements are true.

Question 54

Suppose are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The following statistics are given: m = 6, Calculate a 95% CI for the difference between true average stopping distance for cars equipped with system 1 and cars equipped with system 2. Does the interval suggest that precise information about the value of this difference is available?

Question 55

For an F distribution with parameters $v _ { 1 } \text { and } v _ { 2 } , \text { where } v _ { 1 }$ is the number of numerator degrees of freedom, and $v _ { 2 }$ is the number of denominator degrees of freedom, which of the following statements are true?

A) $v _ { 1 } \text { must be larger than } v _ { 2 }$
B) $v _ { 1 } \text { must be smaller than } v _ { 2 }$
C) $v _ { 1 } \text { must equal } v _ { 2 }$
D) $v _ { 1 }$
Can be larger than, smaller than, or equal to $v _ { 2 }$
E) None of the above answers are true.

Question 56

In testing $H _ { o }^{ \prime\prime} \mu _ { D } \leq 0 \text { versus } H _ { a } : \mu _ { D } > 0 \text {, where } \mu _ { D }$ is the true mean difference in paired data consisting of 12 independent pairs, the sample mean $\bar { d }$ and sample standard deviation $s _ { D }$ are, respectively, 7.25 and 8.25. Which of the following statements are true?

A) The value of the test statistic is z = 3.04.
B) The P-value is .0013.
C) The P-value is .0026.
D) The null hypothesis is rejected at the .01 level.
E) The null hypothesis is rejected at the .005 level.

Question 57

To decide whether two different types of steel have the same true average fracture toughness values, specimens of each type are tested, yielding the following results: Calculate the -value for the appropriate two-sample test, assuming that the data was based on = 100. Then repeat the calculation for = 400. Is the small p-value for = 400 indicative of a difference that has practical significance? Would you have been satisfied with just a report of the p-value? Comment briefly.

Question 58

Tensile strength tests were carried out on two different grades of wire rod resulting in the accompanying data:
a. Does the data provide compelling evidence for concluding that "true" average strength for the 1078 grade exceeds that for the 1064 grade by more than 10
? Test the appropriate hypotheses using the
-value approach.
b. Estimate the difference between true average strengths for the two grades in a way that provides information about precision and reliability.

Question 59

When the necessary conditions are met in testing $H _ { 0 } : p _ { 1 } - p _ { 2 } = 0 \text { versus } H _ {0} : p _ { 1 } - p _ { 2 } \neq 0$ the two sample proportions are $\hat { p } _ { 1 } = .40 \text { and } \hat { p } _ { 2 } = .30 \text {, and } V \left( \hat { p } _ { 1 } - \hat { p } _ { 2 } \right) = .0016 \text { when } H _ { o }$ is true. Then, the value of the test statistic is

A) 10.0
B) 2.5
C) 7.5
D) 62.5
E) 0.70

Question 60

A 95% confidence interval for $\mu _ { D }$ the true mean difference in paired data, where $\bar { d } = 20 , s _ { D } = 12$ $\text { and } n = 15$ is determined by

A) 20 $\pm$
2)048 (0.80)
B) 20 $\pm$
2)145 (3.098)
C) 20 $\pm$
2)131 (0.894)
D) 20 $\pm$
1)761 (1.118)
E) 20 $\pm$
1)753(1.291)

Question 61

In a study of copper deficiency in cattle, the copper values (ug Cu/100mL blood) were determined both for cattle grazing in an area known to have well-defined molybdenum anomalies (metal values in excess of the normal range of regional variation) and for cattle grazing in a nonanomalous area, resulting in (m = 48) for the anomalous condition and (n = 45) for the nonanomalous condition. Test for the equality versus inequality of population variances at significance level .10 by using the P-value approach.

Question 62

A summary data on proportional stress limits for specimens constructed using two different types of wood are shown below: Assuming that both samples were selected from normal distributions, carry out a test of hypotheses to decide whether the true average proportional stress limit for red oak joints exceeds that for Douglas fir joints by more than one Mpa?

Question 63

A study includes the accompanying data on compression strength (lb) for a sample of 12-oz aluminum cans filled with strawberry drink and another sample filled with cola. Does the data suggest that the extra carbonation of cola results in a higher average compression strength? Base your answer on a -value. What assumptions are necessary for your analysis?

Question 64

Ionizing radiation is being given increasing attention as a method for preserving horticultural products. A study reports that 153 of 180 irradiated garlic bulbs were marketable (no external sprouting, rotting, or softening) 240 days after treatment, whereas only 117 of 180 untreated bulbs were marketable after this length of time. Does this data suggest that ionizing radiation is beneficial as far as marketability is concerned?

Question 65

In an experiment designed to study the effects of illumination level on task performance, subjects were required to insert a fine-tipped probe into the eyeholes of ten needles in rapid succession both for a low light level with black background and a higher level with a white background. Each data value is the time (sec) required to complete the task.
Subject Compute in interval estimate for the difference between true average task time under the high illumination level and true average time under the low level.

Question 66

Consider the accompanying data on breaking load (kg/25 mm width) for various fabrics in both an unabraded condition and an abraded condition. Use the paired t test at significance level .01 to test .
Fabric

Question 67

A sample of 300 urban adult residents of in Michigan revealed 63 who favored increasing the highway speed limit from 55 to 70mph, whereas a sample of 180 rural residents yielded 72 who favored the increase. Does this data indicate that the sentiment for increasing the speed limit is different for the two groups of residents? Test using , where refers to the urban population.

Question 68

The sample standard deviation of sodium concentration in whole blood (mEq/L) for m = 20 marine eels was found to be whereas the sample standard deviation of concentration for n = 20 freshwater eels was . Assuming normality of the two concentration distributions, test at level .10 to see whether the data suggests any difference between concentration variances for the two types of eels.

Question 69

Two different types of alloy, A and B, have been used to manufacture experimental specimens of a small tension link to be used in a certain engineering application. The ultimate strength (ksi) of each specimen was determined, and the results are summarized in the accompanying frequency distribution. Compute a 95% CI for the difference between the true proportions of all specimens of alloys A and B that have an ultimate strength of at least 34 ksi.

Question 70

Give as much information as you can about the P-value of the F test in each of the following situations:
a.
b.
c.
d.
e.

Question 71

In an experiment designed to study the effects of illumination level on task performance, subjects were required to insert a fine-tipped probe into the eyeholes of ten needles in rapid succession both for a low light level with black background and a higher level with a white background. Each data value is the time (sec) required to complete the task.
Subject Does the data indicate that the higher level of illumination yields a decrease of more than 5 sec in
true average task completion time? Test the appropriate hypotheses using the P-value approach.

Question 72

A random sample of 5726 telephone numbers from a certain region taken in March 2002 yielded 1105 that were unlisted, and 1 year later a sample of 5384 yielded 980 unlisted numbers.
a. Test at level .10 to see whether there is a difference in true proportions of unlisted numbers between the two years.
b. If
what sample sizes (m = n) would be necessary to detect such a difference with probability .90?

Question 73

Two types of fish attractors, one made from vitrified clay pipes and the other from cement blocks and brush, were used during 16 different time periods spanning 4 years at Lake Tohopekaliga, Florida The following observations are of fish caught per fishing day. Does one attractor appear to be more effective on average than the other?
a. Use the paired t test with
b. What happens if the two-sample t test is used