using excel
we have
Z Test for Differences in Two Means | ||||
Data | ||||
Hypothesized Difference | 0 | |||
Level of Significance | 0.03 | |||
Population 1 Sample | ||||
Sample Size | 49 | |||
Sample Mean | 1 | |||
Population Standard Deviation | 140 | 97% confidence interval | ||
Population 2 Sample | ||||
Sample Size | 49 | margin of error | 74.41924 | |
Sample Mean | 3 | |||
Population Standard Deviation | 195 | lower limit | -76.4192 | |
upper limit | 72.41924 | |||
Intermediate Calculations | ||||
Difference in Sample Means | -2 | |||
Standard Error of the Difference in Means | 34.2932 | |||
Z Test Statistic | -0.0583 | |||
Two-Tail Test | ||||
Lower Critical Value | -2.1701 | |||
Upper Critical Value | 2.1701 | |||
p-Value | 0.9535 | |||
Do not reject the null hypothesis |
a ) 97% confidence interval is
-76.4192 <u1-u2<72.4192
b ) i) the test stat z =-0.0583
ii) positive critical value = 2.1701
iii) negative critical value =-2.1701
conclusion is given by option B
c ) using excel
we have
Z Test for Differences in Two Means | |
Data | |
Hypothesized Difference | 22 |
Level of Significance | 0.03 |
Population 1 Sample | |
Sample Size | 49 |
Sample Mean | 1 |
Population Standard Deviation | 140 |
Population 2 Sample | |
Sample Size | 49 |
Sample Mean | 3 |
Population Standard Deviation | 195 |
Intermediate Calculations | |
Difference in Sample Means | -2 |
Standard Error of the Difference in Means | 34.2932 |
Z Test Statistic | -0.6998 |
Two-Tail Test | |
Lower Critical Value | -2.1701 |
Upper Critical Value | 2.1701 |
p-Value | 0.4840 |
Do not reject the null hypothesis |
i) the test stat z =-0.6998
ii) positive critical value = 2.1701
iii) negative critical value =-2.1701
conclusion is given by option B
(2 points) In order to compare the means of two populations, independent random samples of 49...
(1 point) In order to compare the means of two populations, independent random samples of 202 observations are selected from each population, with the following results: Sample 1 Sample 2 x1 = 4 x2 = 1 $1 = 105 s2 = 150 (a) Use a 90 % confidence interval to estimate the difference between the population means (41-42). < (41 - M2) (b) Test the null hypothesis: Ho : (41 - H2) = 0 versus the alternative hypothesis: H:(W1 -...
(1 point) In order to compare the means of two populations, independent random samples of 271 observations are selected from each population, with the following results: Sample 1 Sample 2 1145 2 120 (a) Use a 99 % confidence interval to estimate the difference between the population means (A-μ). (b) Test the null hypothesis: HO : (μί-12-0 versus the alternative hypothesis. Ha : (μ-μ2)メ (i) the test statistic z () the positive critical z score (ii) the negative critical z...
In order to compare the means of two populations, independent random samples of 220 observations are selected from each population, with the following results: Sample 1 Sample 2 ?⎯⎯⎯1=0 ?⎯⎯⎯2=5 ?1=165 ?2=200 (a) Use a 97 % confidence interval to estimate the difference between the population means (?1−?2). ≤(?1−?2)≤ (b) Test the null hypothesis: ?0:(?1−?2)=0 versus the alternative hypothesis: ??:(?1−?2)≠0. Using ?=0.03, give the following: the test statistic ?= The final conclusion is: A. There is not sufficient evidence to...
In order to compare the means of two populations, independent random samples of 400 observations are selected from each population, with the results found in the table to the right. Complete parts a through e below. Sample 1 overbar x = 5,305 s1= 154 Sample 2 overbar x = 5,266 s2 = 199 a. Use a 95% confidence interval to estimate the difference between the population means (mu 1 - mu 2). Interpret the confidence interval. The confidence interval is...
in order to compare the means of two populations, independent random samples of 400 observations are selected from each population with the results: sample 1: x1= 5275 and s1= 150 sample 2: x2= 5240 and s2 = 200 a. use a 95% confidence interval to estimate the difference between the population means (m1-m2) interpret the difference. b. test the null hypothesis (m1-m2 = 0) versus the alternative (m1-m2 isn't = to 0). give the p-value of the test and interpret...
Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below. Sample Size Sample Mean Sample Variance Population 1 2 34 45 9.8 7.5 10.83 16.49 State the null and alternative hypotheses used to test for a difference in the two population means. O Ho: (41 - H2) = 0 versus Ha: (41 - M2) > 0 Ho: (41 – 12) # O versus Ha: (H1 - H2) = 0 HO: (41 – My)...
In order to compare the means of two populations, independent random samples of 395 observations are selected from each population, with the results found in the table to the right. Complete parts a through e below. Sample 2 x2 = 5,250 2-210 Sample 1 X,5,279 1-140 a. Use a 95% confidence interval to estimate the difference between the population means (μ1-μ2) . Interpret the confidence The confidence interval is Round to one decimal place as needed.) Interpret the confidence interval....
In order to compare the means of two populations, independent random samples of 385 observations are selected from each population, with the results found in the table to the right. Complete parts a through e. Sample 1 Sample 2 X1 = 5,337 X2 = 5,298 s1 = 157 s2 = 191 a. use a 95% confidence interval to estimate the difference between the population means (u1 - u2). Interpret the confidence interval. b. test the null hypothesis H0: (u1 - u2)...
Independent random samples selected from two normal populations produced the sample means and standard deviations shown to the right. a. Assuming equal variances, conduct the test Ho (H1-H2) = 0 against Hy: (H1-H2) #0 using a = 0.10. b. Find and interpret the 90% confidence interval for (H1-H2) Sample 1 Sample 2 ny - 18 ng - 11 X2 7.8 X = 5.6 Sy = 3.1 82 4.7 a. Find the test statistic, The test statistic is (Round to two...
Consider a situation where we want to compare means, M1 and 42 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference d t Stat PTcut) one-tail Critical one-tail PTC-t) two-tail Critical...