Exam 2

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Statistics Hypothesis Testing Quiz

Test your knowledge on the fundamentals of hypothesis testing in statistics with this comprehensive quiz! Designed for students and professionals alike, this quiz covers essential concepts, ranging from type I and type II errors to various statistical tests.

You'll encounter questions about:

Null and alternative hypotheses
Statistical significance
Types of errors in hypothesis testing
Statistical measures and their applications

10 Questions2 MinutesCreated by AnalyzingWhale47

The test of the null hypothesis is a ________ test if the alternative hypothesis is expressed directionally.

One-Tailed test

Two-Tailed test

Multiple regression test

Chi-Square test

Ho: π = 0.40 Ha: π ≠ 0.40 This is an example of

Chi-Square test

Two-Tailed test

Multiple Regression test

One-Tailed test

The p value is the probability of observing a value of the test statistic as extreme as, or more extreme than, the value actually observed, assuming that

The null hypothesis is actually true

The null hypothesis is actually false

The alternative hypothesis is actually true

The probability of making a type I error is called the ________.

Confidence Level

Level of Significance

Calculated value of test statistics

Ho: Product quality does not impact customer satisfaction. Ha: Product quality does impact customer satisfaction

A type I error will be that as a researcher I concluded that product quality does not impact customer satisfaction, but in reality, product quality does impact customer satisfaction

A type I error will be that as a researcher I concluded that product quality does impact customer satisfaction, but in reality, product quality does not impact customer satisfaction.

________ defines rejection region of the sampling distribution. Typical values are 0.01, 0.05, and 0.1 and it is selected by the researcher.

Ho: The defendant is Innocent; Ha: The defendant is Guilty. When the actual condition was that the defendant is guilty. However, the jury decides the defendant is innocent

Type I error

Type II error

A statistic evaluates the strength of association between two nominal scale variables is called the _______.

Correlation

Analysis of variance (ANOVA)

Chi-Square

Multiple Regression

________ is a statistical procedure for analyzing relationships between an interval/ratio dependent variable and one or more interval/ratio independent variables.

Regression analysis

ANOVA

T-Test analysis

Chi-Square analysis

The three most commonly used measures of location.

mean, median, mode

Range, standard deviation, variance

t-Test, ANOVA, multiple regression

t-Test, ANOVA, chi-square

Exam 2

Statistics Hypothesis Testing Quiz

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