The management of white industries is considering a new method of assembling its golf cart. the present method requires a mean time of 42.3 minutes to assemble a cart. the mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. using the 0.10 level of significance, can we conclude that the assembly time using the new method is faster?

At 0.10 significance level, there is significant evidence that the assembly time using the new method is faster

Step-by-step explanation:

Let mu be the true mean assembly time using the new method. Then hypotheses are:

mu = 42.3 min

mu < 42.3 min

Test statistic can be found using the equation:

t= where

Then t= ≈ −3,08

one tailed critical t-score of 0.10 significance level with 23 degrees of freedom is ≈ 1.319

Since −3,08<--1.319, we can reject the null hypothesis.

Thus, we can conclude that the assembly time using the new method is faster

the equation cos(35) =a/25 can be used to find the length of bc what is the length of bc? round to the nearest tenth

step-by-step explanation:

answer: since the question is talking about growth you have to use the growth formula which is inital amount (1 + growth)^time

step-by-step explanation:

the intial amount is 1200, the growth is 4.8, and the time is 7. plug those numbers into the equation, also i think you have to change 4.8 into a percent. but, i have forgotton how to do that. if this is a online class go on to the lesson.