central limit theorem

Question 1

central limit theorem

Answer 1

stipulates that a distribution of means will be closer to a normal distribution than distribution of individual scores, even if that’s not seen in the population

Question 2

minimum amount of scores needed to take average, for CLT to apply

Answer 2

30

Question 3

a distribution of means is less variable…

Answer 3

than a distribution of individual scores

Question 4

2 principles demonstrated by the theorem

Answer 4

distribution of means is less variable; repeated sampling approximates a normal distribution even when population is not normally distributed

Question 5

distribution of means

Answer 5

charting a distribution based on means of multiple scores, instead of each single score

Question 6

the larger the sample size

Answer 6

the smaller the range of distribution of means

Question 7

what is a sample size in CLT

Answer 7

the amount of individual scores used to make each mean ???????

Question 8

formula of standard error

Answer 8

Om = O/raiz de N

Question 9

repeated sampling

Answer 9

sampling with replacement

Question 10

process of standardization

Answer 10

convert to z scores

Question 11

standard deviation of a distribution of means

Answer 11

standard error