Question

In: Statistics and Probability

State the hypothesis and identify the claim. Find the critical value(s). Compute the test value. Make the decision.

 

For each problem, perform the following steps. Assume that all variables are normally or approximately normally distributed.

  1. State the hypothesis and identify the claim.

  1. Find the critical value(s).

  1. Compute the test value.

  1. Make the decision.

  1. Summarize the results.

  1. The heights (in feet) for a random sample of world famous cathedrals are listed below. In addition, the heights for a sample of the tallest buildings in the world are listed. Is there sufficient evidence at α = 0.05 to conclude that there is a difference in the variances in height between the two groups? [4]

Cathedrals

72

114

157

56

83

108

90

151

 

Tallest buildings

452

442

415

391

355

344

310

302

209

Solutions

Expert Solution

Cathedrals Cathedrals2
72 5184
114 12996
157 24649
56 3136
83 6889
108 11664
90 8100
151 22801
Sum = 831 95419

The sample mean is computed as follows:

Also, the sample variance is

Therefore, the sample standard deviation s is

Tallest buildings Tallest buildings2
452 204304
442 195364
415 172225
391 152881
355 126025
344 118336
310 96100
302 91204
209 43681
Sum = 3220 1200120

The sample mean is computed as follows:

Also, the sample variance is

Therefore, the sample standard deviation s is

(1) Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho: μ1​ = μ2​

Ha: μ1​ ≠ μ2​

This corresponds to a two-tailed test, for which a t-test for two population means, with two independent samples, with unknown population standard deviations will be used.

(2) Rejection Region

Based on the information provided, the significance level is α=0.05, and the degrees of freedom are df = 15 In fact, the degrees of freedom are computed as follows, assuming that the population variances are equal:

Hence, it is found that the critical value for this two-tailed test is t_c = 2.131, for α=0.05 and df = 15

(3) Test Statistics

Since it is assumed that the population variances are equal, the t-statistic is computed as follows:

t = −8.464

(4) Decision about the null hypothesis

Since it is observed that |t| = 8.464 > t_c = 2.131, it is then concluded that the null hypothesis is rejected.

Using the P-value approach: The p-value is p = 0, and since p = 0 < 0.05 , it is concluded that the null hypothesis is rejected.

(5) Conclusion

It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that population mean μ1​ is different than μ2​, at the 0.05 significance level.


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