Which statement below is not consistent with the distribution of sample means. O The distribution of sample means tends to pile up around the population mean. O The distribution of sample means tends to be approximately normal. The distribution of sample means depicts the means of all the randomn samples of a particular sample size. The distribution of sample means tends to pile up around the population standard deviation.

A printing company spends specific amounts on fixed costs every month. The costs of those fixed costs are in the table. Monthly fixed costs Monthly charges Bank charges Cleaning Computer expense Lease payments Postage Uniforms Monthly cost ($) 373 2691 2606 2580 2535 2165 Find the sample's mean, median, range, variance, and standard deviation using technology. Round to the nearest cent, if necessary. I The mean is The median is The range is The variance is The standard deviation is

Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…

Which of the following is true regarding the sampling distribution of the mean for a large sample size? O It has a normal distribution with the same mean and standard deviation as the population. O It has the same shape, mean, and standard deviation as the population. O It has the same shape and mean as the population, but has a smaller standard deviation. O It has a normal distribution with the same mean as the population but with a smaller standard deviation.