A. It is an experiment as the sales director is applying treatment ( the training ) to a group and recording the results.
B. I would have 250 sales representatives from each region take the training and 250 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 ( if any) . For example, if the original 250 trained people in a region increased the sales in that region by 20 percent and 50 of those people ended up not actually training, the sales would have only increased by 16 percent.
D. correlational research is best to establish causality. for example, 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
First piece of pie = 15/18
Second piece of pie = 13/6.
We need to find the total value.
In order to find the total value, we need to add both fractions.
Total value = First piece of pie + Second piece of pie.
=15/18 + 13/6.
In order to add those fractions, we need to find the common denominators.
We have denominators 18 and 6.
Common denominator of 18 and 6 is 18.
So, we need to multiply second fraction 13/6 by 3 in top and bottom to make the denominator of second fraction equals 18.
Therefore, 15/18 + 13/6 = 15/18 + 13*3/6*3
=15/18 +39/18.
=(15+39)/18.
=54/18.
Therefore, Fiona had 54/18 in total.
Answer:
The probability that the proportion of passed keypads is between 0.72 and 0.80 is 0.6677.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:

The standard deviation of this sampling distribution of sample proportion is:

Let <em>p</em> = the proportion of keypads that pass inspection at a cell phone assembly plant.
The probability that a randomly selected cell phone keypad passes the inspection is, <em>p</em> = 0.77.
A random sample of <em>n</em> = 111 keypads is analyzed.
Then the sampling distribution of
is:

Compute the probability that the proportion of passed keypads is between 0.72 and 0.80 as follows:


Thus, the probability that the proportion of passed keypads is between 0.72 and 0.80 is 0.6677.
Answer:
298.7
Step-by-step explanation:
I just took the test