Deck 13: Students T Test for Single Samples
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Deck 13: Students T Test for Single Samples
1
As the degrees of freedom increase, the correspondence between the t and z distributions _________.
A) increases
B) decreases
C) remains the same
D) cannot be determined
A) increases
B) decreases
C) remains the same
D) cannot be determined
increases
2
The 95% confidence interval arrived at from a particular experiment is 72-79. This means that _________.
A) the probability is 0.95 that µ falls between 72-79
B) the probability is 0.95 that the interval 72-79 contains
C) the probability is 0.95 that the interval 72-79 contains µ
D) a and c
A) the probability is 0.95 that µ falls between 72-79
B) the probability is 0.95 that the interval 72-79 contains

C) the probability is 0.95 that the interval 72-79 contains µ
D) a and c
the probability is 0.95 that the interval 72-79 contains µ
3
The degrees of freedom for the t test for single samples are _________.
A) N
B) N - 1
C) N - 2
D) depends on alpha
A) N
B) N - 1
C) N - 2
D) depends on alpha
N - 1
4
In a correlative study, _________.
A) a value of r ≠ 0 in the sample, means that there is a nonzero correlation in the population
B) a nondirectional alternative hypothesis states that r ≠ 0
C) the null hypothesis for a nondirectional alternative hypothesis states that r = 0
D) a nondirectional alternative hypothesis states that r = 0
E) a nondirectional alternative hypothesis states that r ≠0 and the null hypothesis for a nondirectional alternative hypothesis states that r = 0
A) a value of r ≠ 0 in the sample, means that there is a nonzero correlation in the population
B) a nondirectional alternative hypothesis states that r ≠ 0
C) the null hypothesis for a nondirectional alternative hypothesis states that r = 0
D) a nondirectional alternative hypothesis states that r = 0
E) a nondirectional alternative hypothesis states that r ≠0 and the null hypothesis for a nondirectional alternative hypothesis states that r = 0
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5
| t crit | for any alpha level is _________ | z crit | for N less than infinity.
A) greater than
B) the same as
C) less than
D) none of these
A) greater than
B) the same as
C) less than
D) none of these
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6
In a t test, when the size of the sample is increased, the confidence interval _________.
A) increases
B) decreases
C) stays the same
D) changes shape
A) increases
B) decreases
C) stays the same
D) changes shape
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7
We lose one degree of freedom in calculating _________.
A) s
B)
C) t obt (single sample)
D) s and t obt (single sample)
A) s
B)

C) t obt (single sample)
D) s and t obt (single sample)
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8

A) µ
B) s
C)

D) s.
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9
Which of the characteristics below distinguishes the t statistic from the z statistic?
A) the proportion of area beyond a particular positive t value is equal to the proportion of area below the corresponding negative t
B) the z distribution has a mean of zero while the t distribution does not
C) In the t distribution the area under the curve beyond a value of ±1.96 is greater than that of the normal curve
D) all of these
A) the proportion of area beyond a particular positive t value is equal to the proportion of area below the corresponding negative t
B) the z distribution has a mean of zero while the t distribution does not
C) In the t distribution the area under the curve beyond a value of ±1.96 is greater than that of the normal curve
D) all of these
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10
For a given N , the interval that bounds the population mean at the 99% confidence level is _________ that which bounds the population mean at the 95% confidence level.
A) equal to
B) greater than
C) less than
D) can t be determined without knowing
A) equal to
B) greater than
C) less than
D) can t be determined without knowing

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11
The df associated with evaluating the significance of r obt are _________.
A) N
B) N - 1
C) N - 2
D) need more information
A) N
B) N - 1
C) N - 2
D) need more information
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12
The confidence interval for the population mean is _________.
A) a range of values which probably contains the population mean
B) a range of values which contains the population mean
C) the same from sample-to-sample
D) a range of values which probably contains the population mean and the same from sample-to-sample
A) a range of values which probably contains the population mean
B) a range of values which contains the population mean
C) the same from sample-to-sample
D) a range of values which probably contains the population mean and the same from sample-to-sample
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13
In an independent groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate inference test is the _________.
A) sign test
B) z test
C) t test
D) none of these
A) sign test
B) z test
C) t test
D) none of these
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14
When using the t test, we reject H 0 _________.
A) if t obt ≤ t crit
B) if | t obt | ≥ | t crit |
C) if | t obt | ≤ | t crit |
D) if t obt ≥ t crit
A) if t obt ≤ t crit
B) if | t obt | ≥ | t crit |
C) if | t obt | ≤ | t crit |
D) if t obt ≥ t crit
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15
The mean of the t distribution equals _________.
A) the mean of the population of raw scores
B) 0
C) 1
D) s
A) the mean of the population of raw scores
B) 0
C) 1
D) s
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16
In a correlated groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate statistical test is _________.
A) t test
B) sign test
C) z test
D) none of these
A) t test
B) sign test
C) z test
D) none of these
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17
As the df increases, the t distribution _________.
A) gets more symmetrical
B) approaches the normal distribution
C) stays the same
D) becomes more skewed
A) gets more symmetrical
B) approaches the normal distribution
C) stays the same
D) becomes more skewed
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18
Which of the following represents a sampling distribution?
A) the binomial distribution
B) the z distribution
C) the t distribution
D) all of these
E) the z and t distributions
A) the binomial distribution
B) the z distribution
C) the t distribution
D) all of these
E) the z and t distributions
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19
The t test differs from the z test in that _________.
A) with the t test we estimate s
B) with the t test we estimate µ
C) the z distribution is a family of curves
D) the t distribution is a family of curves
E) with the t test we estimate s and the t distribution is a family of curves
A) with the t test we estimate s
B) with the t test we estimate µ
C) the z distribution is a family of curves
D) the t distribution is a family of curves
E) with the t test we estimate s and the t distribution is a family of curves
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20
With which statistical test do we determine the probability of getting the obtained results or those more extreme assuming the differences in results were due to chance alone?
A) sign test
B) z test
C) t test
D) all of these
A) sign test
B) z test
C) t test
D) all of these
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21
For a given value of alpha, the critical value of t is _______ than the critical value of z .
A) no different
B) less
C) greater
D) none of these
A) no different
B) less
C) greater
D) none of these
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22
As N gets infinitely large, the critical value of t equals the critical value of z .
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23
A researcher believes that women today weigh less than in previous years. To investigate this belief, she randomly samples 41 adult women and records their weights. The scores have a mean of 111 lbs. and a standard deviation of 12.4. A local census taken several years ago shows the mean weight of adult women was 115 lbs. The obtained value of the appropriate statistic for testing H 0 is _________.
A) t obt = - 2.07
B) t obt = +2.07
C) t obt = - 0.32
D) t obt = +0.32
A) t obt = - 2.07
B) t obt = +2.07
C) t obt = - 0.32
D) t obt = +0.32
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24
The sample mean is an example of _________.
A) interval estimation
B) point estimation
C) confidence point
D) confidence numbers
A) interval estimation
B) point estimation
C) confidence point
D) confidence numbers
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25
For N = 20, the degrees of freedom for the test of the significance of the correlation coefficient ( r ) is _________.
A) 20
B) 21
C) 19
D) 18
A) 20
B) 21
C) 19
D) 18
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26
If r = 0.84 and N = 5, the value of t obt for the test of the significance of r is _________.
A) 1.96
B) 2.40
C) 2.68
D) 3.46
A) 1.96
B) 2.40
C) 2.68
D) 3.46
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27
The 95% confidence interval of the mean for
= 13.0, s = 1.6, and N = 21 is _________.
A) 12.01 to 13.99
B) 12.27 to 13.73
C) 11.05 to 15.05
D) 12.95 to 14.95

A) 12.01 to 13.99
B) 12.27 to 13.73
C) 11.05 to 15.05
D) 12.95 to 14.95
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28
The mean of the t distribution equals _________.
A) 0
B) 1
C) N
D) N - 1
A) 0
B) 1
C) N
D) N - 1
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29
A researcher believes that women today weigh less than in previous years. To investigate this belief, she randomly samples 41 adult women and records their weights. The scores have a mean of 111 lbs. and a standard deviation of 12.4. A local census taken several years ago shows the mean weight of adult women was 115 lbs. The df for determining t crit = _________.
A) 41
B) 40
C) 39
D) need more information
A) 41
B) 40
C) 39
D) need more information
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30
How many t distributions are there?
A) 1
B) 2
C) 30
D) one for each value of df
A) 1
B) 2
C) 30
D) one for each value of df
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31
If the population parameters are known, the t test is _________ powerful than the z test.
A) more
B) less
C) equally
D) need more information
A) more
B) less
C) equally
D) need more information
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32
A researcher believes that women today weigh less than in previous years. To investigate this belief, she randomly samples 41 adult women and records their weights. The scores have a mean of 111 lbs. and a standard deviation of 12.4. A local census taken several years ago shows the mean weight of adult women was 115 lbs. Using a = 0.01 1 tail , the critical value of the appropriate statistic for testing H 0 is _________.
A) - 1.684
B) - 2.423
C) ±1.684
D) ±2.423
A) - 1.684
B) - 2.423
C) ±1.684
D) ±2.423
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33
A researcher believes that women today weigh less than in previous years. To investigate this belief, she randomly samples 41 adult women and records their weights. The scores have a mean of 111 lbs. and a standard deviation of 12.4. A local census taken several years ago shows the mean weight of adult women was 115 lbs. What do you conclude, using the appropriate inference test and a = 0.01 1 tail ?
A) accept H 1
B) accept H 0
C) reject H 0
D) retain H 0
E) accept H 1 and reject H 0
A) accept H 1
B) accept H 0
C) reject H 0
D) retain H 0
E) accept H 1 and reject H 0
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34
As N gets _______, the critical value of t gets _________.
A) larger; larger
B) smaller; smaller
C) larger; smaller
D) smaller; larger
A) larger; larger
B) smaller; smaller
C) larger; smaller
D) smaller; larger
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35
For N = 20, the value of r crit for a = 0.05 2 tail is _________.
A) 0.4329
B) 0.3783
C) 0.4438
D) 0.5614
A) 0.4329
B) 0.3783
C) 0.4438
D) 0.5614
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36
As N increases
becomes a _________ estimate of
.
A) better
B) worse
C) meaningless
D) biased


A) better
B) worse
C) meaningless
D) biased
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37
The proper use of the t test requires that _________.
A) the sampling distribution of
is normal
B) N ≥ 30
C) the sampling distribution of
is normal and N ≥30
D) the sampling distribution of
is normal or N ≥30
A) the sampling distribution of

B) N ≥ 30
C) the sampling distribution of

D) the sampling distribution of

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38
Use the data presented in the text, Chapter 7, question 12. In that question, r obt = - 0.69 and N = 10. Using a = 0.05 2 tail , is this a significant value for r obt ?
A) Yes, df = 9, r crit = ±0.6021
B) Yes, df = 8, r crit = ±0.6319
C) Yes, df = 8, r crit = - 0.6319
D) Yes, df = 8, r crit = +0.6319
A) Yes, df = 9, r crit = ±0.6021
B) Yes, df = 8, r crit = ±0.6319
C) Yes, df = 8, r crit = - 0.6319
D) Yes, df = 8, r crit = +0.6319
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39
The _______ confidence interval for the population mean is always wider than the _______ confidence interval for the population mean.
A) 99%; 95%
B) 95%; 99%
C) both of these
D) none of these
A) 99%; 95%
B) 95%; 99%
C) both of these
D) none of these
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40
If = 30, s = 5.2,
= 28.0, s = 6.1 and N = 13, the value of the most powerful statistic to test the significance of the sample mean is _________.
A) - 1.18
B) 1.96
C) 2.18
D) - 1.39

A) - 1.18
B) 1.96
C) 2.18
D) - 1.39
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41
Which of the following are not characteristics of the t distribution?
A) has a mean = 0.
B) has a standard deviation greater than 1.00 for df less than infinity.
C) varies with df.
D) has no negative values.
E) all of these are characteristics of the t distribution.
A) has a mean = 0.
B) has a standard deviation greater than 1.00 for df less than infinity.
C) varies with df.
D) has no negative values.
E) all of these are characteristics of the t distribution.
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42
The t distribution is a family of curves that vary with the degrees of freedom.
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43
"Degrees of freedom" for any statistic is defined as _________.
A) N
B) N - 1
C) the number of scores that are free to vary in calculating the statistic
D) N - 1and the number of scores that are free to vary in calculating the statistic
A) N
B) N - 1
C) the number of scores that are free to vary in calculating the statistic
D) N - 1and the number of scores that are free to vary in calculating the statistic
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44
The degrees of freedom equal N - 1 for the t test for single samples.
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45
The t test requires that the sampling distribution of t be normally distributed.
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46
There are two values for t crit when H 1 is directional.
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47
To test the significance of r obt , the df = N - 2.
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48
In general, the z test is more powerful than the t test because _________.
A) with the z test, the sample mean is closer to the population mean than with the t test
B) with the t test we lose a degree of freedom
C) the standard deviation of the sample raw scores is larger with the t test
D) with the z test, we know ó , whereas with the t test, we must estimate it.
A) with the z test, the sample mean is closer to the population mean than with the t test
B) with the t test we lose a degree of freedom
C) the standard deviation of the sample raw scores is larger with the t test
D) with the z test, we know ó , whereas with the t test, we must estimate it.
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49
The 95% confidence interval is defined as _________.
A) an interval such that we are 95% confident that the population value lies within the interval
B) an interval such that the probability is 0.95 that the interval contains the population value
C) an interval such that we can reject H 0 at á = 0.05
D) a and b
A) an interval such that we are 95% confident that the population value lies within the interval
B) an interval such that the probability is 0.95 that the interval contains the population value
C) an interval such that we can reject H 0 at á = 0.05
D) a and b
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50
The sampling distribution of t differs from the sampling distribution of z in that _________.
A) there is only one sampling distribution of z (the normal distribution) for all N , while there are many sampling distributions for t , depending on sample size.
B) the sampling distribution of z is more narrow, except when N equals infinity.
C) the means of the two distributions are different
D) all of these
E) a and b
A) there is only one sampling distribution of z (the normal distribution) for all N , while there are many sampling distributions for t , depending on sample size.
B) the sampling distribution of z is more narrow, except when N equals infinity.
C) the means of the two distributions are different
D) all of these
E) a and b
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51
t crit must always be positive.
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52
If we have to estimate s , we should use the z test.
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53
If N t test, the population of raw scores should be normally distributed.
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54
Confidence interval is defined as _________.
A) a range of values that probably contains the population value
B) a range of values that probably contains the population mean
C) a range of values that probably contain the population standard deviation
D) all of these
A) a range of values that probably contains the population value
B) a range of values that probably contains the population mean
C) a range of values that probably contain the population standard deviation
D) all of these
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55
The 99% confidence interval is defined as _________.
A) an interval such that we are 99% confident that the population value lies within the interval
B) an interval such that the probability is 0.99 that the interval contains the population value
C) an interval such that we can reject H 0 at á = 0.01
D) an interval such that we are 99% confident that the population value lies within the interval and an interval such that the probability is 0.99 that the interval contains the population value
A) an interval such that we are 99% confident that the population value lies within the interval
B) an interval such that the probability is 0.99 that the interval contains the population value
C) an interval such that we can reject H 0 at á = 0.01
D) an interval such that we are 99% confident that the population value lies within the interval and an interval such that the probability is 0.99 that the interval contains the population value
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56
Confidence limits are defined as _________.
A) the highest and lowest score in the sample set of scores
B) the values that lie outside of the confidence interval
C) the values that bound the confidence interval
D) the values that lie within the confidence interval
A) the highest and lowest score in the sample set of scores
B) the values that lie outside of the confidence interval
C) the values that bound the confidence interval
D) the values that lie within the confidence interval
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57
As the degrees of freedom increase, the t distribution becomes more like the z distribution.
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58
Generally speaking, the more confidence we have that the interval contains the population mean, the larger is the interval.
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59
The t test is more sensitive than the z test.
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60
The sampling distribution of t _________.
A) gives all possible different t values of size N and the probability of getting each value if sampling is random from the null-hypothesis population
B) is defined as a probability distribution of the t values that would occur if all possible different samples of size N were drawn from the null hypothesis population
C) varies uniquely with N
D) all of these
E) a and b
A) gives all possible different t values of size N and the probability of getting each value if sampling is random from the null-hypothesis population
B) is defined as a probability distribution of the t values that would occur if all possible different samples of size N were drawn from the null hypothesis population
C) varies uniquely with N
D) all of these
E) a and b
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61

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62
For a two-tailed test, if | t obt | ≥ | t crit |, reject H 0.
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63
If r obt is not equal to zero, r cannot equal zero.
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64
If | r obt | > | r crit |, we reject the assumption that r = 0.
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65
The t test is more powerful than the z test.
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66
The 99% confidence limit is always wider than the 95% confidence interval.
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67
In the t test s is used to estimate s .
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68
The t test for single samples is used when the population parameters µ and s are unknown.
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69
The t test requires that the sampling distribution of
is normal.

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70
If r > 0.50, then there must be a nonzero correlation in the population.
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71
The t distribution is the same for all sample sizes.
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72
In general t crit is greater than z crit at the same a level.
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73
The mean of the t distribution equals 0 for all sample sizes.
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74
The 95% confidence interval means that 95% of the time
= .

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75
The confidence interval is one example of point estimation.
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76
When df = ¥ the t distribution is identical to the z distribution.
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77
In general, if r = 0, then r = 0.
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78
The t test can only be applied to a nondirectional alternative hypothesis.
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79
In general, if r ≠ 0, then r must not equal 0.
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80
By definition the degrees of freedom for all statistical tests equals N - 1.
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