Ch. 6 and 7 Review

Front

True or False: When finding sample size, if n = 169.5 I should always round down n = 169.

Back

False

Front

True or False: As sample size increases the Margin of Error decreases.

Back

True

Front

Calculate the sample size needed for a margin of error of 1% at the 99% confidence level.

Back

Front

A study wants to find the proportion of adults who like cake. 1000 people were surveyed, and 898 people were found to like cake. Calculate a 98% confidence interval.

Back

Front

Why do we use a t-distribution instead of a z-distribution for means?

Back

It reflects greater variability present in small samples.

Front

Define sample size in the context of statistical studies.

Back

Sample size refers to the number of observations or data points collected in a study, which affects the accuracy and reliability of the results.

Front

What is the Margin of Error in statistics?

Back

The Margin of Error is a measure of the uncertainty in a survey's results, indicating the range within which the true population parameter is expected to fall.

Front

Explain the concept of confidence level in statistics.

Back

The confidence level represents the probability that the confidence interval contains the true population parameter, commonly expressed as a percentage (e.g., 95% confidence level).

Front

What is the difference between a t-distribution and a z-distribution?

Back

A t-distribution is used for smaller sample sizes and has heavier tails, reflecting greater variability, while a z-distribution is used for larger samples and assumes a normal distribution.

Front

How do you calculate a confidence interval for a proportion?

Back