TRUE/FALSE. Very much struggling and would really appreciate a quick response

A. Homogeneity of group variances is an assumption of the paired sample (non-independent samples) t-test.

B. The test statistic is a number calculated from the data that is used to evaluate how unusual the data is from the alternative hypothesis.

C. The p-value is the probability that you can interpret to determine significance during hypothesis tests.

D. When using the Z-test, one of the assumptions is that the variable follows a normal sampling distribution.

E. When calculating t, you must know the population standard deviation.

F. The standard normal distribution always has a mean of 0 and a standard deviation of 1.96.

G. In the normal probability distribution, the probability density is highest at the mean.

H. Homogeneity of group variances is an assumption of the one-sample t-test.

I. A p-value of 0.0004 associated with a t-test indicates that the magnitude of difference between 2 means is larger when compared to a test with a p-value of 0.04.

J. For the binomial test, because the branches of each outcome are mutually exclusive, we can apply the multiplication probability rule to calculate total probability.

K. The binomial coefficient does not account for the order of events in sequence.

L. The central limit theorem allows us to safely ignore assumptions of normality when sample size is small.

M. For most real-world situations where the sample data is normally distributed, using the standard normal distribution is just as valid as using Student's t-distribution.

N. There are a finite number of normal distributions.

O. The -squared goodness of fit test can be applied to a variety of null probability models.

P. When comparing means, properties of the central limit theorem allow us to ignore small deviations from normality.

Q. The pooled sample variance for the two-sample t-test is just the variance of the largest sample.

R. The log-transformation is frequently used when comparing two groups of data and one is right-skewed.

S. When comparing the Z- and t-distributions, the Z-distribution has more area under the curve out near the tails.

T. The pooled sample variance is an important component of the test statistic used for the paired sample t-test.

U. When the variance of a frequency distribution is greater than the mean, the distribution is more clumped than would be expected by chance.