Statistics C3 17/5

What is the sampling technique where the population is divided into subgroups and a sample is chosen from the subgroups?

• Systematic sampling

• Simple random sampling

• Cluster sampling

• Stratified sampling

According to the Central Limit Theorem (CLT), what happens to the sampling distribution of the sample mean as the sample size n increases?

• It becomes exponential

• It becomes skewed

• It becomes uniform

• It approaches the normal distribution

What is the mean of sample means denoted as?

• SE

• μ푥̅

• σ

• mew

If the population standard deviation is unknown, what is used as an estimate?

• Sample error

• Sample standard deviation

• Sample mean

• Sample size

What is the distribution graph expected to look like according to the Central Limit Theorem (CLT) as n keeps increasing?

• Uniform shape

• Exponential shape

• Bell shape

• Skewed shape

How does the Central Limit Theorem (CLT) impact the accuracy of statistical analysis?

• It increases the margin of error

• It decreases the need for hypothesis testing

• It improves the reliability of sample estimates

• It has no effect on statistical calculations

How does the Central Limit Theorem (CLT) impact the accuracy of statistical analysis?

• It increases the margin of error

• It decreases the need for hypothesis testing

• It improves the reliability of sample estimates

• It has no effect on statistical calculations

What is the sampling technique where a random starting point is selected, and every Kth member of the population is selected.

• Systematic sampling

• Simple random sampling

• Cluster sampling

• Stratified sampling