19A telecommunications company wants to estimate the proportion of households that would purchase an additional telephone line if it were made available at a substantially reduced installation cost. Data are collected from a random sample of 500 households. The results indicate that 195 of the households would purchase the additional telephone line at a reduced installation cost. Complete parts (a) and (b) below. - a. Construct a 95% confidence interval estimate for the population proportion of households that would purchase the additional telephone line. ? ? ? (Round to four decimal places as needed.) b. The margin of error e= (Round to 3 decimal places as needed.) c. The critical value for the upper tail is (Round to 2 decimal places as needed.) d. How would the manager in charge of promotional programs concerning residential customers use the results in (a)? A. The manager can infer with 95% confidence that the population proportion of all households that would purchase an additional telephone line is somewhere in this interval. B. The manager can infer that the true population proportion of households that would purchase an additional telephone line is somewhere in this interval 95% of the time. C. The manager can infer with 95% confidence that the proportion of households in the sample that would purchase an additional telephone line is somewhere in this interval. D. The manager can infer that 95% of households would purchase an additional telephone line.
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Qudsiya A.
A telecommunications company wants to estimate the proportion of households that would purchase an additional telephone line if it were made available at a substantially reduced installation cost. Data are collected from a random sample of 500 households. The results indicate that 195 of the households would purchase the additional telephone line at a reduced installation cost. Complete parts (a) and (b) below. a. Construct a 95% confidence interval estimate for the population proportion of households that would purchase the additional telephone line. ≤ π ≤ (Round to four decimal places as needed.) b. The margin of error e = (Round to 3 decimal places as needed.) c. The critical value for the upper tail is (Round to 2 decimal places as needed.) d. How would the manager in charge of promotional programs concerning residential customers use the results in (a)? A. The manager can infer with 95% confidence that the population proportion of all households that would purchase an additional telephone line is somewhere in this interval. B. The manager can infer that the true population proportion of households that would purchase an additional telephone line is somewhere in this interval 95% of the time. C. The manager can infer with 95% confidence that the proportion of households in the sample that would purchase an additional telephone line is somewhere in this interval. D. The manager can infer that 95% of households would purchase an additional telephone line.
Kari H.
The telephone company wants to estimate the proportion of households that would purchase an additional telephone line if it were made available at a substantially reduced installation cost. A random sample of 500 households is selected. The results indicate that 135 of the households would purchase that additional telephone line at a reduced installation cost. Set up a 99% confidence interval estimate of the population proportion of households that would purchase the additional telephone line. Provide responses to the following questions related to the confidence interval estimate above: What is the correct z-value for a 99% confidence interval? Remember, if an exact value is not available on the table but you can directly interpolate, provide that value. Otherwise, use the closest value. (Use the tabled values that you were provided for use in class): What is the standard deviation of the sampling proportion (to four decimal places)? Provide (to four decimal places) the confidence interval estimate values: ≤ p ≤
Marc L.
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