Understanding One Sample Hypothesis Test

This video tutorial demonstrates how to perform a one-sample hypothesis test with a known population standard deviation. It involves a college football coach's data on players' bench press weights. The tutorial covers setting up null and alternative hypotheses, calculating the sample mean using a TI-84 calculator, and finding the z-score and p-value. The video concludes with interpreting the results and determining whether to reject the null hypothesis.

What is the mean weight that the coach initially recorded for his players' bench press?

• 295 pounds

• 265 pounds

• 285 pounds

• 275 pounds

What is the level of significance used in the hypothesis test?

• 10%

• 1%

• 2.5%

• 5%

What is the alternative hypothesis in this test?

• μ ≠ 275

• μ < 275

• μ = 275

• μ > 275

Which calculator function is used to find the sample mean?

• 2-Var Stats

• 1-Var Stats

• Z-Test

• T-Test

What is the calculated sample mean from the data?

• 286.2

• 290.0

• 280.5

• 275.0

What statistical measure is used to determine the p-value?

• T-score

• F-statistic

• Chi-square

• Z-score

What is the calculated z-score for the hypothesis test?

• 1.12

• 2.58

• 0.95

• 1.96

What is the p-value obtained from the hypothesis test?

• 0.1323

• 0.01

• 0.025

• 0.05

What conclusion is drawn from the hypothesis test regarding the null hypothesis?

• Reject the null hypothesis

• The test is inconclusive

• Fail to reject the null hypothesis

• Accept the alternative hypothesis

What does a high p-value compared to alpha indicate in hypothesis testing?

• The null hypothesis is not rejected

• The alternative hypothesis is accepted

• The null hypothesis is accepted

• The null hypothesis is rejected