Answer:
The mean for the sampling distribution of the sample proportion is 0.29
The standard deviation for the sampling distribution of the sample proportion is 0.01435
Step-by-step explanation:
The mean for the sampling distribution of the sample proportion is always equal to the true population proportion, in this case; p = 0.29
The standard deviation for the sampling distribution of the sample proportion is calculated as;
![\sqrt{\frac{p(1-p)}{n} }](https://tex.z-dn.net/?f=%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%20%7D)
Using the given values;
p = 0.29
1 - p = 0.71
n = 1000
The standard deviation becomes;
![\sqrt{\frac{(0.29)(1-0.29)}{1000} } \\](https://tex.z-dn.net/?f=%5Csqrt%7B%5Cfrac%7B%280.29%29%281-0.29%29%7D%7B1000%7D%20%7D%20%5C%5C)
The s.d becomes 0.01435
Answer: -6
Step-by-step explanation:
Answer:
4
Step-by-step explanation:
The x coordinate is the same so the distnce is only the difference in y
5 - 1 = 4