Exam 2
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
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.
ϝ
β
α
µ
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
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