According to the central limit theorem (CLT), no matter which distribution the data is collected from, as long as some conditions are met, we can always expect the sample average to behave like a normal random variable, i.e., the sampling distribution can be approximated by a normal distribution.  Which is NOT a CLT condition for sample mean? Group of answer choices The original distribution of the data is Normal. A random sample with sample size is larger than 30 with no extreme outlier A random sample with sample size is less than 30 with no outliers. The sample size has to be larger than 10.

Beyond representative sampling, what assumptions are needed to satisfy the requirements of a one-sample proportion test? The sample size should be at least 30 and the population have a normal distribution The sample size should be at least 30 or the population have a normal distribution np0 and nq0 should both be at least 5 and the number of successes should follow a binomial distribution np0 and nq0 should both be at least 5 or the number of successes should follow a binomial distribution Beyond representative sampling, what assumptions are needed to satisfy the requirements of a one-sample means test? The sample size should be at least 30 and the population have a normal distribution The sample size should be at least 30 or the population have a normal distribution np0 and nq0 should both be at least 5 and the number of successes should follow a binomial distribution np0 and nq0 should both be at least 5 or the number of successes should follow a binomial distribution

The estimated standard error of the mean for a relevant sampling distribution provides an indicator of:         The average or standard amount we expect a sample mean to differ from the population mean, if the null hypothesis is true       The average or standard amount we expect two study condition means to differ from one another in a repeated measures study design due to chance, if the null hypothesis is true       All of these answers are correct       The average or standard amount we expect two sample group means to differ from one another in an independent groups study design due to chance, if the null hypothesis is true

For the sampling distribution of sample proportions, if np>5 and nq>5 then the mean of the distribution is the population proportion.  True  False

Textbook: Statistics for the Behavioral SciencesGregory J. Privitera Please show your work-Concept and Application Problems (Pg.133) An expert reviews a sample of 10 scientific articles (n = 10) and records the following number of errors in each article: 2, 9, 2, 8, 2, 3, 1, 0, 5, and 7. Compute the SS, variance, and standard deviation for this sample using the definitional and computational formula.

When testing the difference between two population means under independent sampling, we use the z distribution if _____