Question 1

SPSS will not calculate the confidence interval for a percentage.

Accepted Answer

SPSS will calculate the confidence interval for a percentage.

Question 2

Parameter estimation is used to compare the sample statistic with what is believed to be the population value prior to undertaking the study.

Accepted Answer

The answer of Parameter estimation is used to compare the...

Question 3

To calculate the mean and to generate a confidence interval estimate of the population mean, the sequence of menu commands in the SPSS for Windows is ANALYZE; COMPARE MEANS; ONE SAMPLE t TEST.

Accepted Answer

This is the correct sequence of menu commands in SPSS for calculating the mean and generating a confidence interval estimate of the population mean.

Question 4

If you were investigating the percentage of high school students who eat at the local Taco Bell, the percentage, because it is derived from the sample, is the sample statistic.

Accepted Answer

A sample statistic is a numerical measurement that describes an aspect of a sample. In this case, the percentage of high school students who eat at the local Taco Bell is a measurement obtained from a sample of high school students, therefore it is a sample statistic.

Question 5

The standard error will increase if sample size is increased.

Accepted Answer

The standard error would decrease if sample size is increased due to the decrease in the variability of sample means.

Question 6

SPSS will not calculate the confidence interval for a mean.

Accepted Answer

SPSS can calculate confidence intervals for a mean using the Analyze menu > Descriptive Statistics > Explore option, where you can specify the confidence level and variable of interest.

Question 7

If you were investigating the average number of golf balls purchased by golfers in a month, your sample statistic would be a mean.

Accepted Answer

The sample statistic for this investigation would be the mean, which represents the average number of golf balls purchased by golfers in a month.

Question 8

To estimate a parameter, you need to know the sample statistic, which is either a mean or percentage derived from sample data.

Accepted Answer

This statement is true. In order to estimate a population parameter, such as the mean or proportion, we use the corresponding sample statistic, which is either the sample mean or sample proportion.

Question 9

Detailed confidence intervals are typically reported to clients.

Accepted Answer

The answer of Detailed confidence intervals are typically reported to...

Question 10

Intuitive hypothesis testing is quite complicated and uses linear algebra to test mathematically intuitive algorithms.

Accepted Answer

Intuitive hypothesis testing is not complicated and does not necessarily involve linear algebra. It is a method used to test hypotheses without relying solely on statistical analysis, and may involve using one's intuition or prior knowledge to evaluate the significance of results. However, other techniques such as linear algebra may also be used in hypothesis testing.

Question 11

The z value associated with a 99 percent confidence interval is either a + or - 2.58.

Accepted Answer

This is true, as a 99% confidence interval requires the z value to cover 99% of the area under the standard normal distribution curve, which corresponds to a critical value of +/- 2.58.

Question 12

Two types of statistical inference are parameter estimates and hypothesis tests.

Accepted Answer

This statement is true. Parameter estimates involve using sample data to estimate the value of a population parameter, while hypothesis tests involve assessing the likelihood of a certain hypothesis being true based on sample data.

Question 13

The standard error will increase if the variation (standard deviation)is increased.

Accepted Answer

The standard error is the standard deviation of a sample mean. As the variation of the sample data increases (i.e. the standard deviation increases), the variability between samples also increases, resulting in a larger standard error.

Question 14

There are five steps involved in computing confidence intervals for a mean or a percentage. One of those steps is to determine the sample statistic.

Accepted Answer

Determining the sample statistic is indeed one of the steps involved in computing confidence intervals for a mean or a percentage. Other steps include specifying the level of confidence, determining the sample size, calculating the margin of error, and constructing the interval.

Question 15

One option that researchers have when it comes to reporting confidence intervals to clients or readers
of their marketing research reports is called the General Case.

Accepted Answer

The General Case is a method of reporting confidence intervals that is used when the sample size is large and the population standard deviation is known.

Question 16

When an exact specification of a population parameter is made based on prior knowledge, assumptions, or intuition, this is a hypothesis.

Accepted Answer

A hypothesis is a specific statement or assumption about a population parameter. Hypotheses are often based on prior knowledge, assumptions, or intuition, and are tested using statistical methods. The hypothesis specifies the exact value of the population parameter that is of interest, and the goal of statistical testing is to determine whether the observed data support or reject the hypothesis.

Question 17

A practical use of confidence intervals is that they may be used to forecast likely, pessimistic, and optimistic forecasts.

Accepted Answer

Confidence intervals can be used to estimate possible ranges of values for a given population parameter, which can inform forecasting and decision making by providing information on the potential range of outcomes. By considering different levels of confidence (e.g. 95%, 99%), optimistic and pessimistic scenarios can be developed based on the upper and lower bounds of the interval.

Question 18

The z value associated with a 95 percent confidence interval is either a + or - 1.96.

Accepted Answer

The z value associated with a 95 percent confidence interval is indeed a positive or negative 1.96.

Question 19

When the sample size is the same and variability is the same, a 99 percent confidence interval will be narrower than a 95 percent confidence interval.

Accepted Answer

A 99 percent confidence interval is wider than a 95 percent confidence interval because it reflects a higher degree of certainty, requiring a larger range to capture the true parameter with more confidence.

Question 20

Hypothesis testing is a statistical procedure used to accept or reject the hypothesis, based on sample information.

Accepted Answer

Hypothesis testing is a well-established statistical procedure used to determine whether a hypothesis should be accepted or rejected. It is a standard procedure used in scientific research to draw conclusions about population parameters based on sample statistics.

Quiz 16: Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means