Several years ago, the mean height of women 20 years of age or older was 63.7 inches. Suppose that a random sample of 45 women who are 20 years of age or older today results in a mean height of 64 (a) State the appropriate null and alternative hypotheses to assess whether women are taller today. (b) Suppose the P-value for this test is 0.05. Explain what this value represents. (c) Write a conclusion for this hypothesis test assuming an a = 0.10 level of significance. (a) State the appropriate null and alternative hypotheses to assess whether women are taller today. Ο Α. Η , μ= 64.1 in . versus H : μ> 64.1 in. Ο Β . H : μ 63.7 in. versus H, : μ< 63.7 in. OC. Ho: u= 64.1 in. versus H,:H< 64.1 in. O D. Ho: H= 63.7 in. versus H,: µ> 63.7 in. O E. Ho: H= 64.1 in. versus H,:p#64.1 in. O F. Ho: H= 63.7 in. versus H,: µ#63.7 in. (b) Suppose the P-value for this test is 0.05. Explain what this value represents. O A. There is a 0.05 probability of obtaining a sample mean height of 63.7 inches or taller from a population whose mean height is 64.1 inches. O B. There is a 0.05 probability of obtaining a sample mean height of 64.1 inches or shorter from a population whose mean height is 63.7 inches. OC. There is a 0.05 probability of obtaining a sample mean height of exactly 64.1 inches from a population whose mean height is 63.7 inches.

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Several years ago, the mean height of women 20 years of age or older was 63.7 inches. Suppose that a random sample of 45 women who are 20 years of age or older today results in a mean height of 64.1 inches.

(a) State the appropriate null and alternative hypotheses to assess whether women are taller today.

- A. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu > 64.1 \, \text{in.} \)
- B. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu < 63.7 \, \text{in.} \)
- C. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu < 64.1 \, \text{in.} \)
- D. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu > 63.7 \, \text{in.} \)
- E. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu \neq 64.1 \, \text{in.} \)
- F. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu \neq 63.7 \, \text{in.} \)

(b) Suppose the P-value for this test is 0.05. Explain what this value represents.

- A. There is a 0.05 probability of obtaining a sample mean height of 63.7 inches or taller from a population whose mean height is 64.1 inches.
- B. There is a 0.05 probability of obtaining a sample mean height of 64.1 inches or shorter from a population whose mean height is 63.7 inches.
- C. There is a 0.05 probability of obtaining a sample mean height of exactly 64.1 inches from a population whose mean height is 63.7 inches.
- D. There is
Transcribed Image Text:Several years ago, the mean height of women 20 years of age or older was 63.7 inches. Suppose that a random sample of 45 women who are 20 years of age or older today results in a mean height of 64.1 inches. (a) State the appropriate null and alternative hypotheses to assess whether women are taller today. - A. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu > 64.1 \, \text{in.} \) - B. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu < 63.7 \, \text{in.} \) - C. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu < 64.1 \, \text{in.} \) - D. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu > 63.7 \, \text{in.} \) - E. \( H_0: \mu = 64.1 \, \text{in.} \) versus \( H_1: \mu \neq 64.1 \, \text{in.} \) - F. \( H_0: \mu = 63.7 \, \text{in.} \) versus \( H_1: \mu \neq 63.7 \, \text{in.} \) (b) Suppose the P-value for this test is 0.05. Explain what this value represents. - A. There is a 0.05 probability of obtaining a sample mean height of 63.7 inches or taller from a population whose mean height is 64.1 inches. - B. There is a 0.05 probability of obtaining a sample mean height of 64.1 inches or shorter from a population whose mean height is 63.7 inches. - C. There is a 0.05 probability of obtaining a sample mean height of exactly 64.1 inches from a population whose mean height is 63.7 inches. - D. There is
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