Chapter 6 Section 2

Set C

  1. You are going to run a significance test in which H0:  = 50 grams and Ha:  < 50 grams. You gather a simple random sample from the population and your sample estimate produces a p-value.

Which p-value produces more evidence against the null hypothesis.

a 0.85 b. 0.2c. 0.07d. 0.002

  1. You are going to run a significance test in which H0:  = 1.29 l and Ha:  > 1.29 l. You gather a simple random sample from the population and your sample estimate produces a p-value.

Which p-value produces more evidence against the null hypothesis.

  1. 0.34b. 0.12c. 0.09d. 0.01
  1. You are going to run a significance test in which H0:  = 35 km and Ha:  35 km You gather a simple random sample from the population and your sample estimate produces a p-value.

Which p-value produces more evidence against the null hypothesis.

  1. 0.29b. 0.22c. 0.06d. 0.04
  1. You are going to run a significance test in which H0:  = 50 grams and Ha:  < 50 grams. You gather a simple random sample from the population and your sample estimate produces a p-value.

Which p-value produces more evidence against the null hypothesis.

  1. 0.85b. 0.2c. 0.07d. 0.002
  1. You are going to run a significance test in which H0:  = 78 ft and Ha:  < 78 ft. You gather a simple random sample from the population and your sample mean produces a value.

Which value below produces more evidence against the null hypothesis.

  1. 79 ft b. 77.2 ftc. 62 ftd. 55.3 ft
  1. You are going to run a significance test in which H0:  = 45 mg/dl and Ha:  45 mg/dl. You gather a simple random sample from the population and your sample mean produces a value.

Which value below produces more evidence against the null hypothesis.

  1. 35 mg/dl b. 48 mg/dlc. 57 mg/dld. 40 mg/dl
  1. You are going to run a significance test in which H0:  = 1050 mi and Ha:  1050 mi.

You gather a simple random sample from the population and your sample mean produces a value.

Which value below produces more evidence against the null hypothesis.

  1. 940 mi b. 1210 mi c. 700 mild. 1100 mi
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0.

True or False – The lower the p-value the more evidence against the null hypothesis.

  1. You are going to run a significance test in which H0:  = 0 and Ha: 0.

True or False – The closer the value of is to 0 the more evidence we have against the null hypothesis.

  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is less than -2.32. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha:  ≠ 0. You will reject the null hypothesis if the z test statistic is less than -2.32 or greater than 2.32. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is less than -3.02. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is greater than 2.05. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is greater than 2.52. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is greater than 2.05 or less than -2.05. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if the z test statistic is greater than 2.52 or less than -2.52. What is the significance level?
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. The test is run and your calculate a value of the sample mean of . The graph below corresponds to the distribution of all possible sample means assuming the null hypothesis is correct. Label the boxes with the appropriate symbols corresponding to the significance test. Fill in the missing values below. Label the area corresponding to the p-value.
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. You will reject the null hypothesis if c , x-bar critical. The graph below corresponds to the distribution of all possible sample means assuming the null hypothesis is correct. Label the boxes with the appropriate symbols corresponding to the significance test. Fill in the missing values below. Label the area corresponding to the significance level.
  1. True or False – You are going to run a significance test in which H0:  = 0 and Ha: 0. The test results in not enough evidence to reject the null hypothesis. Then this implies the null hypothesis is true.
  1. You are going to run a significance test in which H0:  = 0 and Ha: 0. The symbol c represents the location of the critical value, while the symbol represents the sample mean calculated from the data.
  1. Shade the area that corresponds to p-value.
  1. Shade the area that corresponds to α, the significance level.
  1. According to the graph do we have enough evidence to reject the null hypothesis for the given level of significance?