The sampling distribution attached shows sample means from samples of size n=50. 1. Using the sampling distribution, how likely is x-bar=55.6? Reasonably likely to occur from sample of this size, unusual but might occur occasionally, or extremely unlikely to occur. 2.using the sampling distribution, how likely is x-bar=64.2? Reasonably likely to occur from sample of this size, unusual but might occur occasionally, or extremely unlikely to ever occur.

1. Explain why the mean of the sampling distribution is an unbiased estimator of the population parameter. 2. When do you use the central limit theorem? 3. What are the formulas for μx and Ox?

Describe the sampling distribution of p. Round to three decimal places when necessary. [ N = 21,000, n = 600, p = 0.6 ]

The scores of individual students on the American College Testing (ABC) program composite college entrance examination have a normal distribution with a mean 18.6and a standard deviation 6.0.  At Northside high, 36 seniors take the test.   Assume that the scores at this school have the same distribution as national scores. A) What is the sampling distribution of the sample mean score of randomly selected 36 students?(show work) B) what is the distribution of a randomly selected one student?(show work)

To estimate the proportion of teen traffic deaths in Texas last year that was caused by speeding, determine the necessary sample size for the estimate to be accurate to within .05 with probability .99. a. Suppose from a previous study, we expect the proportion to be about .30. b. suppose we do not have any prior knowledge about the true proportion.

4. You ask an SRS of 1500 college students whether they applied for admission to any other college. Suppose that in fact 35% of all college students applied to colleges besides the one they are attending. The sampling distribution of the proportion of B your sample who say "Yes" is approximately Normal with mean 0.35 and standard deviation 0.01. Sketch this Normal curve and use it to answer the following questions. (You can use the 68-95-99.7 rule for all these questions.) Round to nearest whole percent. (a) What percentage of many samples would have a larger than 0.37? 2.5 (b) What is the probability that your sample will have a less than 0.33?Å (c) what is the probability that your sample result will be either less than 0.33 or greater than 0.35?

Suppose I want to sample the household incomes for EBR parish. Let's say I start with a simple random sample of 100 residents and calculate the sample mean. How would the sampling distribution of    change if I increase the sample size to 1,000 residents?

Answer number 1 to 3 pls. I don't want to waste my money here thanks.

8. This question requires you to work z score problems with the sampling distribution of means. For each problem, begin by computing the standard error of the mean, using the formula: OM Then make two diagrams of the problem-one in terms of the actual scores, and one in terms of the z scores; mark the area under investigation on each curve. Show calculation of the appropriate z scores. List the line(s) from the z score table that you use to answer the question. Provide a verbal answer to each question. a. Assume you have a sampling distribution of means of samples of size n=16 from a population distribution in which u = 46 and o = 36. What proportion of sample means fall above M = 48? b. Assume you have a sampling distribution of means of samples of size n=25 from a population distribution in which u = 100 and o = 15. What proportion of sample means fall above M = 96? c. Assume you have a sampling distribution of means of samples of size n=49 from a population distribution in which u =…