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Losing weight Refer to Exercise 6.

a. Explain what would happen to the length of the interval if the confidence level was decreased to 90%.

b. How would a 95%confidence interval based on triple the sample size compare to the original 95%interval?

c. As Gallup indicates, the 3percentage point margin of error for this poll includes only sampling variability (what they call 鈥渟ampling error鈥). What other potential sources of error (Gallup calls these 鈥渘on sampling errors鈥) could affect the accuracy of the 95% confidence interval?

Short Answer

Expert verified

a. Length of interval decreases.

b. Tripling the sample size will result in narrower confidence interval than original confidence interval.

c. Under coverage bias, Selection, Non response bias.

Step by step solution

01

Given Information

Confidence interval90%,95%are given.

02

a. Effect on Length

If confidence level decreases from 95%to90%, there would be less assurance that confidence interval would have true population parameter. Confidence interval will have less values for true population parameters.

03

b. Comparison of confidence interval on tripling the sample size and original confidence interval.

Tripling sample size implies increase in sample size. It will give more details regarding population resulting in more accurate estimates. Hence, the estimate will be close to correct value and confidence interval will be narrower.

04

c. Potential Sources of Error

The errors can be:

  • Under Coverage Bias/ Selection: It exclude portion of population.
  • Response bias: It results in value different from correct value.
  • Non Response Bias: It is result of not containing data for everybody in sample.

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