a)
std error σ1-2=√(σ21/n1+σ22/n2) = | 2.561 |
Point estimate of differnce '=x1-x2 = | -3.200 | |
for 90 % CI value of z= | 1.645 | |
margin of error E=z*std error = | 4.212 | |
lower bound=(x1-x2)-E = | -7.41 | |
Upper bound=(x1-x2)+E = | 1.01 | |
from above 90% confidence interval for population mean =(-7.41 to 1.01) |
b)
c)
d)
Consider the following data drawn independently from normally distributed populations: (You may find it useful to...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) 21 = 29.8 012 - 95.3 nu = 34 22 = 32.4 oz? = 91.6 ng = 29 a. Construct the 99% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) x−1x−1 = 27.7 x−2x−2 = 30.1 σ12 = 92.8 σ22 = 87.5 n1 = 24 n2 = 33 a. Construct the 99% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2...
Consider the following data drawn independently from normally distributed populations: Use Table 1 X2 30.6 X1 = 25.7 022 a12 98.2 87.4 n2= 25 n1 20 a. Construct the 95% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Confidence interval is to b. Specify the competing hypotheses in order to determine whether or...
Consider the following competing hypotheses and accompanying sample data drawn independently from normally distributed populations. (You may find it useful to reference the appropriate table: z table or t table) Ho: H1-Hu2 0 HA: H1 Hz< e 251 252 s1 39 s=19 n1=7 n 7 a-1. Calculate the value of the test statistic under the assumption that the population variances are equal. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal...
Consider the following competing hypotheses and accompanying sample data drawn independently from normally distributed populations. (You may find it useful to reference the appropriate table: z table or t table) H0: μ1 − μ2 ≥ 0HA: μ1 − μ2 < 0 x¯1x¯1= 249x−2x−2= 262s1 = 35s2 = 23n1 = 10n2 = 10a-1. Calculate the value of the test statistic under the assumption that the population variances are equal. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) a-2. Find the p-value. multiple choice 1p-value < 0.010.01 ≤ p-value...
Il = 27.7 2 = 92.8 y = 24 2 = 30.1 0 = 87.5 n2 = 33 a. Construct the 99% confidence interval for the difference between the population means. (Negative values should be indica minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) points Confidence interval is eBook b. Specify the competing hypotheses In order to determine whether or not the population means differ. References He: M1 -...
Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s21s12 = 221, and n1 = 16 Sample 2: s22s22 = 208, and n2 = 11 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F" value and final answers to 2 decimal places.) Confidence interval _______ to _______ B. Using the confidence interval from...
Return to question Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) X1 = 30.5 012 = 96.3 ni = 27. x2 = 24.7 022 = 93.1 n2 = 26 a. Construct the 95% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) *1 = -28.3 s12 = 8.7 ni = 22 X2 = -18.5 s 2 = 7.9 n2 = 16 a. Construct the 95% confidence interval for the difference between the population means. Assume the population variances are unknown but equal. (Round all intermediate calculations to at least 4 decimal places and final answers to 2...
Consider the following measures based on independently drawn samples from normally distributed populations Ợou may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s 221, and n1 - 16 Sample 2:s 208, and n2 11 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F' value and final answers to 2 decimal places.) Confidence interval to b. Using the confidence interval from Part (a), test if the ratio...