Calculate the upper value (limit) for the interval estimate of the difference be

Question

Calculate the upper value (limit) for the interval estimate of the difference between the proportions of two populations where 1,369 in a sample of 3,662 from the first population exhibited the characteristic of interest and 1,219 in a sample of 2,167 from the second population exhibited the characteristic of interest. Use alpha=0.04. Use Excel's "normsinv" function to calculate the critical value of z and round it to four decimals. Then calculate your response without rounding any other intermediate calculations and enter your answer to two decimal places (i.e. 32.12). Be sure to include the negative sign if appropriate. See formula 10.16.

QUESTION 18

Calculate the pooled estimator of the population proportion where 598 in a sample of 1,441 from the first population exhibited the characteristic of interest and 524 in a sample of 1,098 from the second population exhibited the characteristic of interest. Enter your response to two decimals (i.e. 0.12). See formula 10.17.

QUESTION 19

Calculate the standard error that would be used in conducting an hypothesis test for the difference in two population proportions where 619 in a sample of 1,334 from the first population exhibited the characteristic of interest and 669 in a sample of 1,261 from the second population exhibited the characteristic of interest. Enter your response to three decimals (i.e. 0.123). See formula 10.18.

QUESTION 20

Assuming the null hypothesis is Ho:p1-p2=0, calculate the value of the test statistic z where 345 in a sample of 3,481 from the first population exhibited the characteristic of interest and 202 in a sample of 3,906 from the second population exhibited the characteristic of interest. Enter your response to two decimals (i.e. 1.12). Be sure to include the negative sign if appropriate. See formula 10.18.

Explanation / Answer

Answer - 17:

Upper limit = -0.16

Answer - 18:

Pooled estimate = 0.44

Answer - 19:

Standard error = 0.020

Answer - 20:

Test statistic = 7.77

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