Podcast
Questions and Answers
In a hypothesis test, what does a smaller level of significance (alpha) imply?
In a hypothesis test, what does a smaller level of significance (alpha) imply?
- A reduced probability of rejecting a false null hypothesis.
- A larger critical region in the distribution.
- A lower probability of rejecting a true null hypothesis. (correct)
- A greater probability of rejecting a true null hypothesis.
A researcher is testing if the average height of students in two different universities are equal. Which type of hypothesis test is most appropriate?
A researcher is testing if the average height of students in two different universities are equal. Which type of hypothesis test is most appropriate?
- Two-tailed z-test
- One-tailed t-test
- One-tailed z-test
- Two-tailed t-test (correct)
What critical value of z should be used to construct a 95% confidence interval?
What critical value of z should be used to construct a 95% confidence interval?
- 1.645
- 2.575
- 2.33
- 1.96 (correct)
In what situation is a paired t-test most suitable?
In what situation is a paired t-test most suitable?
A researcher wants to determine if there is a significant difference in the proportion of males and females who prefer a certain brand of coffee. Which test is most appropriate?
A researcher wants to determine if there is a significant difference in the proportion of males and females who prefer a certain brand of coffee. Which test is most appropriate?
What does the p-value represent in hypothesis testing?
What does the p-value represent in hypothesis testing?
A researcher is conducting a one-tailed hypothesis test with a significance level of 0.05. In which of the following scenarios would they reject the null hypothesis?
A researcher is conducting a one-tailed hypothesis test with a significance level of 0.05. In which of the following scenarios would they reject the null hypothesis?
What happens to the critical value of a t-distribution as the degrees of freedom increase?
What happens to the critical value of a t-distribution as the degrees of freedom increase?
In the context of hypothesis testing, what is a Type II error?
In the context of hypothesis testing, what is a Type II error?
Which of the following is an assumption of the independent samples t-test?
Which of the following is an assumption of the independent samples t-test?
Flashcards
One-tailed test
One-tailed test
A statistical test where the critical area of a distribution is one-sided, meaning it tests if a sample is greater than or less than a certain range of values.
Two-tailed test
Two-tailed test
A statistical test in which the critical area of a distribution is two-sided and tests whether a sample is greater than or less than a certain range of values.
Level of significance (alpha)
Level of significance (alpha)
The probability of rejecting the null hypothesis when it is actually true. Commonly set at 0.05 (5%) or 0.01 (1%).
T-value
T-value
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Z-value
Z-value
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Study Notes
- Summary of upcoming quizzes for STATS
QUIZ (TOM)
- Consists of four tests
TEST I (1-10)
- The scope includes items 1 through 10
TEST II (5 items + 5)
- Contains five multiple-choice items
- Includes +5 additional items
- Focuses on identifying whether a test is two-tailed or one-tailed
TEST III (2 items)
- Composed of two items
- Requires determining the level of significance
TEST IV
- Involves finding the T value
- Involves finding the Z value
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Description
Upcoming quizzes for STATS. The quizzes consist of four tests including items 1-10, identifying one-tailed vs. two-tailed tests, determining significance levels, and finding T and Z values.
