Random samples of size 144 are taken from an infinite population whose mean and variance are 49 and 64, respectively. Calculate the standard error of the sampling distribution of the sample mean. Round the final answer to two decimal places.

Suppose that you are using independent samples to compare two population proportions. Fill in the blanks. a. The mean of all possible differences between the two sample proportions equals the_______.b. For large samples, the possible differences between the two samplel proportions have approximately a_________distribution.

Calculate the standard score (z-score) of the given sample mean. Round your answer to two decimal places. u = 23 and o = 7; n = 72; ī = 22

= 12,000 and p = 0.71. A random sample of 902 elements selected from this population gave p 0.61. Find For a population, N the sampling error. Enter the exact answer. sampling error =

−15,3,3,−15,1,−15,3 Calculate the value of the sample variance. Round your answer to one decimal place.

Use the dataset below to fill in the blanks. The space between the data and the blanks isprovided so that you can show each data value's deviation and each data value's deviation squared.Sixteen families were selected at random and the number of children in each was recorded   0 0 0 1 1 2 2 2 2 2 3 3 4 6 8 12

Find the estimated standard error for the sample mean for n = 13 and SS = 3639. Nearest hundredths place.

Find the range, the standard deviation, and the variance for the givien samples. Round non integer results to the nearest tenth. 2 ,6,8,10,12,15,17

Consider sample data with x = 39 and s = 4.Compute the coefficient of variation. Round to two decimal places. ?%

Download the dataset, SummaryStats.xls. Use Excel to calculate the SAMPLE VARIANCE of H. (Round to two decimals.) 399,453,302,468,27,268,165,418,339,154,409,283,31,223,268,393,81,97,84,103,229,3,64,403,118,396,279,93