Question 1

The chi-square goodness-of-fit test is a statistical test to determine whether some observed pattern of frequencies corresponds to an expected pattern.

Accepted Answer

The statement accurately describes the purpose of the chi-square goodness-of-fit test.

Question 2

Discuss the most commonly used descriptive statistics.

Accepted Answer

The answer of Discuss the most commonly used descriptive statistics....

Question 3

The confidence interval only takes sampling error into account.

Accepted Answer

The confidence interval primarily accounts for sampling error, reflecting the uncertainty in estimating a population parameter due to the sample being a subset of the population.

Question 4

A statistical test to determine whether some observed pattern of frequencies corresponds to an expected pattern is called a chi-square goodness-of-fit test.

Accepted Answer

This is a correct definition of a chi-square goodness-of-fit test.

Question 5

An outlier is an observation so different from the rest of the observations that the analyst chooses to treat it as a special case.

Accepted Answer

An outlier is an observation that deviates significantly from other observations in a dataset and is often considered as a special case requiring further investigation.

Question 6

Because both nominal and ordinal measures are easily used to group respondents or objects into groups or categories,researchers often refer to these types of measures as categorical measures.

Accepted Answer

Nominal and ordinal measures are both used to categorize data, making them categorical measures.

Question 7

Frequency analysis consists of counting the number of cases that fall into the various response categories.

Accepted Answer

Frequency analysis involves counting the frequency or number of cases that fall into different response categories.

Question 8

A sampling interval is a projection of the range within which a population parameter will lie at a given level of confidence based on a statistic obtained from an appropriately drawn sample.

Accepted Answer

A sampling interval refers to the regular interval at which samples are taken from a population for the purpose of statistical analysis, not a projection of the range within which a population parameter will lie at a given level of confidence. The description given matches the definition of a confidence interval, not a sampling interval.

Question 9

The median is the most commonly calculated statistic for both interval- and ratio-level measures.

Accepted Answer

The mean, not the median, is the most commonly calculated statistic for interval- and ratio-level measures because it takes into account all values in the dataset. The median is more commonly used for ordinal data or when the data are skewed.

Question 10

The hypothesis that a proposed result is not true for the population is called the alternative hypothesis.

Accepted Answer

The hypothesis that a proposed result is not true for the population is called the null hypothesis, not the alternative hypothesis. The alternative hypothesis proposes that there is a significant difference or effect.

Question 11

A histogram is a bar chart that is based on information from a frequency count.

Accepted Answer

A histogram is a bar chart that shows the distribution of a set of continuous data. It is based on a frequency count of how many data points fall into each interval or bin.

Question 12

An observation so different in magnitude from the rest of the observations that the analyst chooses to treat it as a special case is called an outlier.

Accepted Answer

This statement is true. An outlier is an observation that significantly differs in value from other observations and is often treated as a special case in statistical analysis.

Question 13

The arithmetic mean value across all responses for a variable is called the standard mean.

Accepted Answer

The arithmetic mean value across all responses for a variable is simply called the arithmetic mean, not the standard mean.

Quiz 17: Analysis and Interpretation: Individual Variables Independently