A simple random sample of size n=64 is obtained from a population that is skewed right with μ=70 and σ=24. ​(a) Describe the sampling distribution of x. ​(b) What is P x>75.7​? ​(c) What is P x≤62.8​? ​(d) What is P 67.675.7=enter your response here ​(Round to four decimal places as​ needed.) Part 4 ​(c) P x≤62.8=enter your response here ​(Round to four decimal places as​ needed.) Part 5 ​(d) P 67.6

A researcher wants to see if there is a difference in APGAR scores of newborns depending on whether the mother smoked during pregnancy or not. She collects data and analyzes the results using SPSS. What is the correct way to report the results in APA style?   Question 23 options:   t(58) = 3.288, p>.05   t(58) = 3.288, p= .002   t(26.5) = 3.278, p<.05   t(26.5) =3.278, p=.003

Score: 36.6/100 14/25 answered • Question 24 Suppose the true proportion of voters in the county who support a new fire district is 0.54. Consider the sampling distribution for the proportion of supporters with sample size n = 131. What is the mean of this distribution? What is the standard error of this distribution? பமmt Cuestiom W search,

The distribution of the number of children in a household is strongly skewed right. Most households have 0, 1, or 2 children, although some have 3, 4, 5, or even more than 5 children. The mean number of children per household is μ = 2.75 children with standard deviation o = 1.22 children. Describe the shape of the sampling distribution of x for SRSS of size n = 50 from the population of households. Because n = 50 > 30, the sampling distribution of x will be approximately normal. Because n = 50 > 30, the sampling distribution of x will be skewed to the right, but not as strongly as the population. 50 > 30, the sampling distribution of x will be skewed to the right just as strongly as the population. Because n = Because n = 50 > 30, we do not have enough information to draw a conclusion about the shape of the sampling distribution of x. Because n = 50 > 30, the sampling distribution of x will be skewed to the right even more strongly than the population.

Histogram of random samples data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of 30, 50 and 100 from the same population.   A) Using the midpoint labels of the three histograms, what wouldyou say about the estimated range of the population data from the smallest to largest? Does the bulk of the data seem to be between8 and 12 in all histogram?  B) The population distribution from  which the sample were drawn in symmetric and mound-shaped, with the top of the mound at 10.95% of the data between 8 and 12 and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?

- X i Data Table Share Detail (x,) Sample (x2) 0.256 0.103 0.618 0.276 0.098 0.685 0.269 0.108 0.620 0.274 0.108 0.893 0.261 0.101 0.428 0.262 0.03 0.231 0.27 0.082 0.572 0.26 0.085 0.426 0.271 0.103 0.632 0.263 0.085 0.511 0.266 0.081 0.459 0.255 0.103 0.468 0.266 0.092 0.350 e table d all te 0.265 0.07 0.268 0.267 0.106 0.500 0.264 0.111 0.411 0.265 0.097 0.556 0.258 0.066 0.309 0.272 0.115 0.662 0.271 0.135 0.626 Print Done