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ahrayia [7]
3 years ago
12

PLEASE HELP

Mathematics
1 answer:
lys-0071 [83]3 years ago
6 0

Answer:

Step-by-step explanation:

A. It is an experiment as the sales director is applying treatment to a group and recording the results.

B. I would have two hundred fifty sales representatives from each region take the training and two hundred fifty from each region to not take it so i can be able to see if it affects both regions differently. The representatives from each region would be chosen at random and the length of their training would be the same for all.

C. now you would only be able to have 200 people from each region train. this would lower the percentage of the impact the training had on the amount of sales.Ex, if the original 250 trained people in a region increased the sales in that region by 20% and 50 of those people ended up not actually training, the sales would have only went up by 16%.

D. cor relational research is best to establish causality.Ex, the amount of training the representatives got may affect how much they are able to sell. also the number of representatives trained may affect the amount sold

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Answer:

\mu_{\hat{p}}=0.19

\sigma_{\hat{p}}=0.0785

Step-by-step explanation:

We know that the mean and the standard error of the sampling distribution of the sample proportions will be :-

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\sigma_{\hat{p}}=\sqrt{\dfrac{p(1-p)}{n}}

, where p=population proportion and n= sample size.

Given : The proportion of students at a college who have GPA higher than 3.5 is 19%.

i.e. p= 19%=0.19

The for sample size n= 25

The mean and the standard error of the sampling distribution of the sample proportions will be :-

\mu_{\hat{p}}=0.19

\sigma_{\hat{p}}=\sqrt{\dfrac{0.19(1-0.19)}{25}}\\\\=\sqrt{0.006156}=0.0784601809837\approx0.0785

Hence , the mean and the standard error of the sampling distribution of the sample proportions :

\mu_{\hat{p}}=0.19

\sigma_{\hat{p}}=0.0785

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