Hypothesis Testing
Psychology ⇒ Research Methods in Psychology
Hypothesis Testing starts at 11 and continues till grade 12.
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See sample questions for grade 11
A researcher wants to test if a new teaching method improves test scores. What would be an appropriate null hypothesis?
Describe the difference between statistical significance and practical significance.
Explain the concept of 'power' in hypothesis testing.
Explain why it is important to set the significance level before collecting data.
A psychologist conducts a test with alpha = 0.05 and obtains a p-value of 0.08. What should they do? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase alpha, (4) Repeat the test
A psychologist tests whether a new therapy reduces anxiety. The null hypothesis states there is no difference in anxiety levels. The p-value is 0.03 and alpha is 0.05. What should the psychologist conclude? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase the sample size, (4) Change the hypothesis
A researcher sets alpha at 0.01. What does this mean? (1) There is a 1% chance of a Type I error, (2) There is a 1% chance of a Type II error, (3) The p-value must be greater than 0.01, (4) The null hypothesis is true
A researcher tests whether caffeine affects reaction time. The null hypothesis is that caffeine has no effect. The test statistic falls in the critical region. What should the researcher do? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase the sample size, (4) Change the significance level
A psychologist conducts a test with alpha = 0.05 and obtains a p-value of 0.08. What should they do? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase alpha, (4) Repeat the test
A psychologist tests whether a new therapy reduces anxiety. The null hypothesis states there is no difference in anxiety levels. The p-value is 0.03 and alpha is 0.05. What should the psychologist conclude? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase the sample size, (4) Change the hypothesis
A researcher sets alpha at 0.01. What does this mean? (1) There is a 1% chance of a Type I error, (2) There is a 1% chance of a Type II error, (3) The p-value must be greater than 0.01, (4) The null hypothesis is true
A researcher tests whether caffeine affects reaction time. The null hypothesis is that caffeine has no effect. The test statistic falls in the critical region. What should the researcher do? (1) Reject the null hypothesis, (2) Fail to reject the null hypothesis, (3) Increase the sample size, (4) Change the significance level
Fill in the blank: A hypothesis test that predicts a specific direction of the effect is called a _______ test.
Fill in the blank: If the null hypothesis is true, the probability of obtaining a test statistic as extreme as the one observed is called the _______.
Fill in the blank: If the p-value is less than the significance level, we _______ the null hypothesis.
Fill in the blank: In hypothesis testing, the sample data is used to make inferences about the _______.
True or False: A p-value of 0.07 is considered statistically significant at the 0.05 level.
True or False: A two-tailed test is used when the direction of the effect is not specified.
True or False: Hypothesis testing can be used with both experimental and observational data.
True or False: Increasing the sample size generally increases the power of a hypothesis test.
