1. A statistician wants to study the mean income per year for teachers in Mansoura city. Assume there are 100 households in the rural I, 50 in the rural II, 120 in the rural III, and 130 in the rural IV. The statistician decides to select 32 households from the rural I, 12 households from the rural II, 36 households from the rural II, and 70 from the rural IV where the (mean, standard deviation) for each rural are (15.13,8.61), (40.54, 4.68), (29.35, 6.57), (18.75, 6.57), respectively. a. Why or why not it makes sense to use a stratified random sample for this problem? b. Estimate the overall mean and variance of the estimator of mean. Also estimate the total and the variance of the estimator of total with a 95% confidence intervals for each of them. (t = 2.08). c. Do you think that the aims of the stratified random sample are satisfied? 2. Define the sample proportion of Y, and prove that the variance of the sample proportion is an unbiased estimator population proportion.

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1. A statistician wants to study the mean income per year for teachers in Mansoura city.
Assume there are 100 households in the rural I, 50 in the rural II, 120 in the rural III, and
130 in the rural IV. The statistician decides to select 32 households from the rural I, 12
households from the rural II, 36 households from the rural III, and 70 from the rural IV
where the (mean, standard deviation) for each rural are (15.13,8.61), (40.54, 4.68),
(29.35, 6.57), (18.75, 6.57), respectively.
a. Why or why not it makes sense to use a stratified random sample for this problem?
b. Estimate the overall mean and variance of the estimator of mean. Also estimate the total
and the variance of the estimator of total with a 95% confidence intervals for each of them.
(t = 2.08).
c. Do you think that the aims of the stratified random sample are satisfied?
2. Define the sample proportion of Y, and prove that the variance of the sample proportion is
an unbiased estimator population proportion.
Transcribed Image Text:1. A statistician wants to study the mean income per year for teachers in Mansoura city. Assume there are 100 households in the rural I, 50 in the rural II, 120 in the rural III, and 130 in the rural IV. The statistician decides to select 32 households from the rural I, 12 households from the rural II, 36 households from the rural III, and 70 from the rural IV where the (mean, standard deviation) for each rural are (15.13,8.61), (40.54, 4.68), (29.35, 6.57), (18.75, 6.57), respectively. a. Why or why not it makes sense to use a stratified random sample for this problem? b. Estimate the overall mean and variance of the estimator of mean. Also estimate the total and the variance of the estimator of total with a 95% confidence intervals for each of them. (t = 2.08). c. Do you think that the aims of the stratified random sample are satisfied? 2. Define the sample proportion of Y, and prove that the variance of the sample proportion is an unbiased estimator population proportion.
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