Mathematics, 02.12.2019 20:31, monnn91351
The breaking strengths of cables produced by a certain manufacturer have a mean, , of pounds, and a standard deviation of pounds. it is claimed that an improvement in the manufacturing process has increased the mean breaking strength. to evaluate this claim, newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be pounds.
assume that the population is normally distributed. can we support, at the level of significance, the claim that the mean breaking strength has increased? (assume that the standard deviation has not changed.)
perform a one-tailed test. then fill in the table below.
(a) what is the null hypothesis? h0:
(b) what is the alternate hypothesis? h1:
(c) do we use the z, t, chi or f test statistic?
(d) what is the value of the test statistic? round to at least three decimal places
(e) what is the critical value at the 0.1 level of significance? (round to at least three decimal places)
(f) **answer this yes or no** can we support the mean breaking strength has increased?
Answers: 3
Mathematics, 21.06.2019 16:30, Lpryor8465
Ahome improvement store rents itβs delivery truck for $19 for the first 75 minutes and $4.75 for each additional 1/4 hour. if a customer rented the truck at 11: 10 am and returned the truck at 1: 40 pm the same day, what would his rental cost be?
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Mathematics, 21.06.2019 20:20, leximae2186
Consider the following estimates from the early 2010s of shares of income to each group. country poorest 40% next 30% richest 30% bolivia 10 25 65 chile 10 20 70 uruguay 20 30 50 1.) using the 4-point curved line drawing tool, plot the lorenz curve for bolivia. properly label your curve. 2.) using the 4-point curved line drawing tool, plot the lorenz curve for uruguay. properly label your curve.
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(50 points) drag each description to the correct location on the table. each description can be used more than once. some systems of equations and their graphs are given in the table. for each system, place the description(s) in the box that correctly describe the type of system shown. :
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