chapter 10 inference on two samples 10.4 inference on two population standard deviations

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Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

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Page 1: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Chapter 10Inference on Two Samples

10.4

Inference on Two Population Standard Deviations

Page 2: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Requirements for Testing Claims Regarding Two Population Standard Deviations

1. The samples are independent simple random samples.

Page 3: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Requirements for Testing Claims Regarding Two Population Standard Deviations

1. The samples are independent simple random samples.2. The populations from which the samples are drawn are normally distributed.

Page 4: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations
Page 5: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations
Page 6: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Fisher's Fisher's FF-distribution-distribution

Page 7: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Characteristics of the F-distribution

1. It is not symmetric. The F-distribution is skewed right.

Page 8: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Characteristics of the F-distribution

1. It is not symmetric. The F-distribution is skewed right.2. The shape of the F-distribution depends upon the degrees of freedom in the numerator and denominator. This is similar to the distribution and Student’s t-distribution, whose shape depends upon their degrees of freedom.

Page 9: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Characteristics of the F-distribution

1. It is not symmetric. The F-distribution is skewed right.2. The shape of the F-distribution depends upon the degrees of freedom in the numerator and denominator. This is similar to the distribution and Student’s t-distribution, whose shape depends upon their degrees of freedom.3. The total area under the curve is 1.

Page 10: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Characteristics of the F-distribution

1. It is not symmetric. The F-distribution is skewed right.2. The shape of the F-distribution depends upon the degrees of freedom in the numerator and denominator. This is similar to the distribution and Student’s t-distribution, whose shape depends upon their degrees of freedom.3. The total area under the curve is 1.4. The values of F are always greater than or equal to zero.

Page 11: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations
Page 12: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Is the critical F with n1 – 1 degrees of freedom in the numerator and n2 – 1 degrees of freedom in the denominator and an area of to the right of the critical F.

Page 13: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

To find the critical F with an area of α to the left, use the following:

Page 14: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

EXAMPLE Finding Critical F values

Find the critical F-value (a) for a right-tailed test with = 0.1, degrees of freedom in the numerator = 8 and degrees of freedom in the denominator = 4.(b) for a two-tailed test with = 0.05, degrees of freedom in the numerator = 20 and degrees of freedom in the denominator = 15.

Page 15: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations

Hypothesis Test Regarding the Two Means Hypothesis Test Regarding the Two Means Population Standard DeviationsPopulation Standard Deviations

Page 16: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations
Page 17: Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations
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