Answer:
The mean is 0.54 and the standard deviation is 0.0135.
Step-by-step explanation:
i) the mean of the sampling distribution is 0.54
ii) the mean for the sampling distribution, p = 0.54
iii) therefore for the sampling distribution, q = ( 1 - 0.54) = 0.46
iv) the sample size of the distribution, n = 1356
v) ![the\hspace{0.1cm} standard\hspace{0.1cm} deviation\hspace{0.1cm} s = \sqrt{\frac{p\times q}{n} } = \sqrt{\frac{0.54\times 0.46}{1356} } = 0.0135](https://tex.z-dn.net/?f=the%5Chspace%7B0.1cm%7D%20standard%5Chspace%7B0.1cm%7D%20%20deviation%5Chspace%7B0.1cm%7D%20%20s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%5Ctimes%20q%7D%7Bn%7D%20%7D%20%20%3D%20%5Csqrt%7B%5Cfrac%7B0.54%5Ctimes%200.46%7D%7B1356%7D%20%7D%20%3D%200.0135)
Answer:
15 + x
Step-by-step explanation:
Answer:
The relationship is positive.
The model predicts a score of 60.
Not sure what part b is.
Step-by-step explanation:
Since while the money spent on advertising increases while the items sold increases, we have a positive relation between both variables.
By looking at where 30 is on the graph, we can see it lines up with 60,the middle between $40 and $80 on the y axis and so we know this is the cost associated with this value.
Answer:
10
Step-by-step explanation:
We know there are 5 quarts.
There are 2 pints for each quart.
This can be though of as a ratio of:
2 : 1
There are 5 quarts, which is 5 times bigger than the ratio of 1.
So this means we need to mutliply both sides of the ratio by 5, to make the quarts equivelent to 5:
2*5 : 1*5
=
10 : 5
So for every 5 quarts there are 10 pints.
Hope this helps!