Module 8 Nonparametric Tests and Chi-Square
Analysis ( With Correct Verified Answers) | Verified
By Experts | Graded A+
Parametric test - ANSWER A statistical test that requires certain assumptions about the
parameters of the population distribution, such as normality and interval data.
Nonparametric test - ANSWER A statistical test that does not assume a normal distribution and
can be used with ordinal or nominal data.
Power of a test - ANSWER The probability that a test will correctly reject a false null hypothesis.
One-way chi-square - ANSWER A test that compares the observed frequencies among
categories of a variable to a set of hypothetical frequencies.
Two-way chi-square - ANSWER A test that evaluates the relationship between two categorical
variables by comparing expected and observed frequencies.
Observed frequencies - ANSWER The frequencies that are actually counted or measured in a
study.
Expected frequencies - ANSWER The frequencies that are anticipated under the null hypothesis.
Median test - ANSWER A nonparametric test used to determine if there is a significant
difference between the medians of two or more independent groups.
Null hypothesis - ANSWER A statement that there is no effect or no difference, which is tested in
statistical analysis.
, Research hypothesis - ANSWER A statement that predicts an effect or difference, contrary to the
null hypothesis.
Sampling distribution of differences between means - ANSWER The distribution of the
differences between sample means from multiple samples drawn from the same population.
Level of significance - ANSWER The threshold for determining whether a p-value indicates a
statistically significant result, commonly set at .05 or .01.
.05 level of significance - ANSWER A common threshold indicating that there is a 5% risk of
concluding that a difference exists when there is no actual difference.
.01 level of significance - ANSWER A stricter threshold indicating that there is a 1% risk of
concluding that a difference exists when there is no actual difference.
t ratio - ANSWER A statistic used in t-tests that compares the difference between group means
relative to the variability of the groups.
Level of significance - ANSWER A cutoff point for deciding when to retain or reject the null
hypothesis, commonly set at .05 or .01.
Null hypothesis - ANSWER A statement that there is no effect or no difference, which
researchers aim to test against.
Degrees of freedom - ANSWER A value used in statistical tests that reflects the number of
independent values in a calculation.
Analysis ( With Correct Verified Answers) | Verified
By Experts | Graded A+
Parametric test - ANSWER A statistical test that requires certain assumptions about the
parameters of the population distribution, such as normality and interval data.
Nonparametric test - ANSWER A statistical test that does not assume a normal distribution and
can be used with ordinal or nominal data.
Power of a test - ANSWER The probability that a test will correctly reject a false null hypothesis.
One-way chi-square - ANSWER A test that compares the observed frequencies among
categories of a variable to a set of hypothetical frequencies.
Two-way chi-square - ANSWER A test that evaluates the relationship between two categorical
variables by comparing expected and observed frequencies.
Observed frequencies - ANSWER The frequencies that are actually counted or measured in a
study.
Expected frequencies - ANSWER The frequencies that are anticipated under the null hypothesis.
Median test - ANSWER A nonparametric test used to determine if there is a significant
difference between the medians of two or more independent groups.
Null hypothesis - ANSWER A statement that there is no effect or no difference, which is tested in
statistical analysis.
, Research hypothesis - ANSWER A statement that predicts an effect or difference, contrary to the
null hypothesis.
Sampling distribution of differences between means - ANSWER The distribution of the
differences between sample means from multiple samples drawn from the same population.
Level of significance - ANSWER The threshold for determining whether a p-value indicates a
statistically significant result, commonly set at .05 or .01.
.05 level of significance - ANSWER A common threshold indicating that there is a 5% risk of
concluding that a difference exists when there is no actual difference.
.01 level of significance - ANSWER A stricter threshold indicating that there is a 1% risk of
concluding that a difference exists when there is no actual difference.
t ratio - ANSWER A statistic used in t-tests that compares the difference between group means
relative to the variability of the groups.
Level of significance - ANSWER A cutoff point for deciding when to retain or reject the null
hypothesis, commonly set at .05 or .01.
Null hypothesis - ANSWER A statement that there is no effect or no difference, which
researchers aim to test against.
Degrees of freedom - ANSWER A value used in statistical tests that reflects the number of
independent values in a calculation.
