Hypothesis Testing Quiz

What is the primary purpose of hypothesis testing?

• To prove a hypothesis is true

• To test a claim about a population parameter

• To find the mean of a sample

• To calculate the standard deviation

What does the null hypothesis (H0) represent?

• A statement of significant difference

• A statement of no difference

• A statement of increased variance

• A statement of decreased mean

In the example given, what is the null hypothesis regarding the body weight of US men?

• The mean weight has not changed from 170 lb

• The mean weight is less than 170 lb

• The mean weight is exactly 180 lb

• The mean weight is greater than 170 lb

What is the critical region in hypothesis testing?

• The area where the null hypothesis is always true

• The area where the alternative hypothesis is always false

• The area where sample means are likely to occur

• The area where sample means are unlikely to occur if the null hypothesis is true

What does an alpha level of 0.05 signify?

• A 5% chance of finding a significant result

• A 5% chance of rejecting the null hypothesis when it is true

• A 5% chance of accepting the null hypothesis

• A 5% chance of the sample mean being exactly the population mean

Which statistic is used when the population standard deviation is known?

• T statistic

• Z statistic

• Chi-square statistic

• F statistic

What does a large test statistic value indicate?

• The test is inconclusive

• The null hypothesis is likely true

• The sample mean is far from the population mean

• The sample mean is close to the population mean

What does a P value represent in hypothesis testing?

• The probability of the alternative hypothesis being false

• The probability of observing the test statistic or more extreme when the null hypothesis is true

• The probability of the sample mean being the population mean

• The probability of the null hypothesis being true

If a P value is less than 0.01, what does it imply?

• The sample mean is exactly the population mean

• The test is inconclusive

• The null hypothesis is likely false

• The null hypothesis is likely true

How do you perform a two-tailed test using P values?

• Subtract 0.5 from the one-sided P value

• Add 0.5 to the one-sided P value

• Divide the one-sided P value by two

• Multiply the one-sided P value by two