Question

In: Math

A researcher wants to estimate the difference in the means of two populations. A random sample...

A researcher wants to estimate the difference in the means of two populations. A random sample of 36 items from the first population results in a sample mean of 430. A random sample of 49 items from the second population results in a sample mean of 460. The population standard deviations are 120 for the first population and 140 for the second population. From this information, a 95% confidence interval for the difference between means of the first population and the second population is _______. Select one: a. -102.83 to 42.43 b. -87.60 to 27.60 c. -76.53 to 16.53 d. -95.90 to 35.90

Solutions

Expert Solution

Given:

n1=36 ,

The 95%confidence interval for the difference of two population meanis given by:

where

Therefore 95% confidence interval becomes

Hence the 95% confidence interval is:

Therefore b) is the correct choice.


Related Solutions

A researcher wants to estimate the difference in the means of two populations. A random sample...
A researcher wants to estimate the difference in the means of two populations. A random sample of 36 items from the first population results in a sample mean of 430. A random sample of 49 items from the second population results in a sample mean of 460. The population standard deviations are 120 for the first population and 140 for the second population. From this information, a 95% confidence interval for the difference in population means is _______. Select one:...
In constructing 95% confidence interval estimate for the difference between the means of two populations, where...
In constructing 95% confidence interval estimate for the difference between the means of two populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are: ?1=45,?̅1=756,?1=18,?2=40,?̅2=762,?2=15 (using 2-sample T menu) a. Calculate the 95% confidence interval for the true difference of two means. b. Base on the interval in the previous question, can one conclude there is a difference in means of two populations? Justify your answer.
Independent random samples selected from two normal populations produced the sample means and standard deviations shown...
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 Upper H 0 : left parenthesis mu 1 minus mu 2 right parenthesis equals 0H0: μ1−μ2=0 against Upper H Subscript a Baseline : left parenthesis mu 1 minus mu 2 right parenthesis not equals 0Ha: μ1−μ2≠0 using alpha equals 0.10 .α=0.10. b. Find and interpret the 9090​% confidence interval for left parenthesis mu 1...
independent random samples selected from two normal populations produced the following sample means and standard deviations....
independent random samples selected from two normal populations produced the following sample means and standard deviations. sample 1: n1= 17, x1= 5.4, s1= 3.4 sample 2: n2 =12, x2 = 7.9, s2= 4.8 a. assuming equal variances, conduct the test ho: (m1-m2) is equal to 0, against the ha: (m1-m2) isn't equal to 0 using alpha = .05 b. find and interpret the 95% confidence interval (m1-m2).
Independent random samples selected from two normal populations produced the following sample means and standard deviations....
Independent random samples selected from two normal populations produced the following sample means and standard deviations. Sample 1 Sample 2 n1 = 14 n2 = 11 1 = 7.1 2 = 8.4 s1 = 2.3 s2 = 2.9 Find and interpret the 95% confidence interval for   
In testing the difference between the means of two normally distributed populations, if μ1 = μ2...
In testing the difference between the means of two normally distributed populations, if μ1 = μ2 = 50, n1 = 9, and n2 = 13, the degrees of freedom for the t statistic equals ___________. 19,20,21,22 When comparing two independent population means by using samples selected from two independent, normally distributed populations with equal variances, the correct test statistic to use is ______. z,F,t, t^2 When testing a hypothesis about the mean of a population of paired differences in which...
A business researcher wants to estimate the average travel time to work in Cleveland. A random...
A business researcher wants to estimate the average travel time to work in Cleveland. A random sample of 45 Cleveland commuters is taken and the travel time (in minutes) to work is obtained from each. The data is shown in the table below. 27 25 19 21 24 27 29 34 18 29 16 28 20 32 27 28 22 20 14 15 29 28 29 33 16 29 28 28 27 23 27 20 27 25 21 18 26...
In order to compare the means of two populations, independent random samples of 400 observations are...
In order to compare the means of two populations, independent random samples of 400 observations are selected from each population with the following results: Sample 1 Sample 2 Sample Mean = 5275 Sample Mean = 5240 s1 = 150 s2 = 200 To test the null hypothesis H0: µ1 - µ2 = 0 versus the alternative hypothesis Ha: µ1 - µ2 ╪ 0 versus the alternative hypothesis at the 0.05 level of significance, the most accurate statement is:
In order to compare the means of two populations, independent random samples of 424 observations are...
In order to compare the means of two populations, independent random samples of 424 observations are selected from each population, with the following results: Sample 1 Sample 2 x¯1=5169 x¯2=5417 s1=135 s2=130 Use a 96% confidence interval to estimate the difference between the population means (μ1−μ2). ? ≤(μ1−μ2)≤ ? Test the null hypothesis: H0:(μ1−μ2)=0 versus the alternative hypothesis: Ha:(μ1−μ2)≠0. Using α=0.04, give the following: the test statistic z = postive critical z score = negative critical z score = The...
1) In order to compare the means of two populations, random samples of 105 observations are...
1) In order to compare the means of two populations, random samples of 105 observations are selected from each population with the following results: Sample 1 Sample 2 x1 = 258 x2 = 281 s1 = 17.2 s2 = 21.2 Test the null hypothesis H0: (μ1 - μ2 ) = 0 against the alternative hypothesis H1: (μ1 - μ2 ) ≠ 0 using α = .1 Use the testing method of your choice. Indicate what operation that you ran in...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT