Can anyone help me with this question.?

What term is being described?
Choose from these answers:
(A)Central Limit Theorem
(B)Normal distribution
(C)Standard Error
(D)Z-score
(E)Transformation rules

1 If you keep taking more and more samples, the average of the samples' Measurement of something will get closer and closer to the true average of the full population's measure of it.
2 Convert a raw score into how many standard deviations it is from the mean

It doesn't take much to figure this one out...

In probability theory, the central limit theorem (CLT) states that, given certain conditions, the arithmetic mean of a sufficiently large number of iterates of independent random variables, each with a well-defined expected value and well-defined variance, will be approximately normally distributed, regardless of the ...
Central limit theorem - Wikipedia, the free encyclopedia
en.wikipedia.org/wiki/Central_limit_theoremWikipedia

Whats for the part 2? bobpursley

Z score

To determine the answer to this question, we need to understand the descriptions given for each term and match them with the provided information. Let's go through each option:

(A) Central Limit Theorem: The Central Limit Theorem states that, under certain conditions, when the sample size is sufficiently large, the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population.

(B) Normal distribution: A normal distribution is a symmetric probability distribution that is characterized by its mean and standard deviation.

(C) Standard Error: The standard error measures the variability or dispersion of sample statistics, such as the sample mean, from the true population parameter. It provides an estimate of the standard deviation of the sampling distribution.

(D) Z-score: A Z-score (also known as a standard score) is a measure that expresses a raw score in terms of the number of standard deviations it is above or below the mean of a distribution.

(E) Transformation rules: There is no specific term or concept referred to as "transformation rules" in the given information.

Now, let's match the descriptions to the options:

1. The idea that the average of the samples' measurement of something approaches the true average of the population's measure as more samples are taken refers to the Central Limit Theorem (A).

2. The process of converting a raw score into the number of standard deviations it is from the mean corresponds to the concept of a Z-score (D).

Therefore, the term being described in the first statement is (A) Central Limit Theorem, and the term being described in the second statement is (D) Z-score.