Question

A variable whose numerical value is determined by a chance Random variable 1 1 mechanism 4 Sample Statistic 2 Any characteristic that can be measured or categorized 5 Random variable 3. A measure from the population 2 Variable 4 Ameasure from a sample 3 Population 5 Typically arises from sampling Question 4 0/2 points How large does the sample size need to be accordig to the Central Limit Theorem for the sampling distribution to be approximately normal? Depends on the distribution of the varlable upon which the sampling distribution is based At least 30 Depends on the sample size calculation tor a proportion None of the above

I think for Q1: I have to switch 5&2 around.
I have no idea about Q2.

TIA

Answer 1

Random Variable is a variable whose value is determined by chance mechanism.
So, 1.Random Variable.

A variable is any characteristic, number or quantity that can be measured or counted or categorized.
Eg, Age, Sex, Income etc
So,
2.Variable

Population is a measure of population.
3. Population

Sample Statistic is a value that describes some characteristics of a sample. Value of Statistic is calculated from sample data.
4.Sample Statistic.

Random Variable is a variable whose value is determined by random phenomenon.
So, 5.Random variable

Note, A population parameter is a measure from population

4>.For data to be approximately normal, we need a large sample to apply central limit theorem.
A large sample is generally a sample of size at least 30

Sample size>30

Hence, Correct option for Question 4:Second option. (Atleast 30)