An experiment to compare the tension bond strength of polymer latex modified mortar (Portland cement mortar to which polymer latex emulsions have been added during mixing) to that of unmodified mortar resulted in x-bar = 18.12 kgf/cm^2 for the modified mortar (m = 40) and y-bar = 16.87 kgf/cm^2 for the unmodified mortar (n = 32). Let u_1 and u_2 be the true average tension bond strengths for the modified and unmodified mortars, respectively. Assume that the bond strength distributions are both normal. (see attachment)

a. Assuming the sigma_1 = 1.6 and sigma_2 = 1.4, test H0: u_1 and u_2 = 0 versus Ha: u_1 - u_2 > 0 at level 0.1.

This solution conducts a Z-test to reject or accept the null hypothesis, determines the probability of a type II, and calculates the standard deviation using a t-test.

... from both offices are equal, construct and interpret a 95% confidence interval estimate of the difference between the population means in the two offices. ...

... to determine if there is any difference between the two... Assume that the two populations of lifetimes are ... distributed and that the population variances are equal ...

... differ- methods, samples are ence between the two sample means... If there is a difference between the carefully selected and population means, then we ...

... A large sample Z test for the difference between two population means does not require that the two populations be _____ distributed, but the t test ...

... 25 Question 11 4 points Save In testing for the differences between the means... Save The F test used for testing the difference in two population variances is ...

... We conclude that there is a significant difference between their means. 4. Test a hypothesis comparing two population means using paired (matched) observations ...

... a difference in the population means when α=.05 as the calculated p-value=.00. ... All means between the 16 families are the same ... Anova: Two-Factor With Replication. ...

... 8 As noted on page 281, when the two population means are equal ... measures t test provides a measure of how much difference to expect between two sample means...