Question #338927

 A sample of 100 recorded deaths in the United States during the past year showed an average life span of 71.8 years. Assuming a population standard deviation of 8.9 years,

does this seem to indicate that the average life span today is greater than 70 years? Use a level of significance:

a. 1%

b. 5%

c. 10%

 


1
Expert's answer
2022-05-09T18:25:04-0400

a.

The following null and alternative hypotheses need to be tested:

H0:μ70H_0:\mu\le 70

Ha:μ>70H_a:\mu>70

This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation will be used.

Based on the information provided, the significance level is α=0.01,\alpha = 0.01, and the critical value for a right-tailed test is zc=2.3263.z_c = 2.3263.

The rejection region for this right-tailed test is R={z:z>2.3263}.R = \{z: z > 2.3263\}.

The z-statistic is computed as follows:


z=xˉμσ/n=71.8708.9/100=2.0225z=\dfrac{\bar{x}-\mu}{\sigma/\sqrt{n}}=\dfrac{71.8-70}{8.9/\sqrt{100}}=2.0225

Since it is observed that z=2.0225<2.3263=zc,z = 2.0225<2.3263=z_c, it is then concluded that the null hypothesis is not rejected.

Using the P-value approach:

The p-value is p=P(Z>2.0225)=0.021562,p=P(Z>2.0225)=0.021562, and since p=0.021562>0.01=α,p=0.021562>0.01=\alpha, it is concluded that the null hypothesis is not rejected.

Therefore, there is not enough evidence to claim that the population mean μ\mu is greater than 70, at the α=0.01\alpha = 0.01 significance level.


b.

The following null and alternative hypotheses need to be tested:

H0:μ70H_0:\mu\le 70

Ha:μ>70H_a:\mu>70

This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation will be used.

Based on the information provided, the significance level is α=0.05,\alpha = 0.05, and the critical value for a right-tailed test is zc=1.6449.z_c = 1.6449.

The rejection region for this right-tailed test is R={z:z>1.6449}.R = \{z: z > 1.6449\}.

The z-statistic is computed as follows:


z=xˉμσ/n=71.8708.9/100=2.0225z=\dfrac{\bar{x}-\mu}{\sigma/\sqrt{n}}=\dfrac{71.8-70}{8.9/\sqrt{100}}=2.0225

Since it is observed that z=2.0225>1.6449=zc,z = 2.0225>1.6449=z_c, it is then concluded that the null hypothesis is rejected.

Using the P-value approach:

The p-value is p=P(Z>2.0225)=0.021562,p=P(Z>2.0225)=0.021562, and since p=0.021562<0.05=α,p=0.021562<0.05=\alpha, it is concluded that the null hypothesis is rejected.

Therefore, there is enough evidence to claim that the population mean μ\mu is greater than 70, at the α=0.05\alpha = 0.05 significance level.


c.

The following null and alternative hypotheses need to be tested:

H0:μ70H_0:\mu\le 70

Ha:μ>70H_a:\mu>70

This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation will be used.

Based on the information provided, the significance level is α=0.10,\alpha = 0.10, and the critical value for a right-tailed test is zc=1.2816.z_c = 1.2816.

The rejection region for this right-tailed test is R={z:z>1.2816}.R = \{z: z > 1.2816\}.

The z-statistic is computed as follows:


z=xˉμσ/n=71.8708.9/100=2.0225z=\dfrac{\bar{x}-\mu}{\sigma/\sqrt{n}}=\dfrac{71.8-70}{8.9/\sqrt{100}}=2.0225

Since it is observed that z=2.0225>1.2816=zc,z = 2.0225>1.2816=z_c, it is then concluded that the null hypothesis is rejected.

Using the P-value approach:

The p-value is p=P(Z>2.0225)=0.021562,p=P(Z>2.0225)=0.021562, and since p=0.021562<0.10=α,p=0.021562<0.10=\alpha, it is concluded that the null hypothesis is rejected.

Therefore, there is enough evidence to claim that the population mean μ\mu is greater than 70, at the α=0.10\alpha = 0.10 significance level.


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