AP Stats Cumulative Review #2

Front

What is the mean of a set of values?

Back

The mean is the average of a set of values, calculated by adding all the values together and dividing by the number of values.

Front

What is standard deviation and what does it indicate?

Back

Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range.

Front

If all values in a dataset are increased by a constant amount, how does it affect the standard deviation?

Back

The standard deviation remains unchanged when all values in a dataset are increased or decreased by a constant amount.

Front

What is the difference between the 60th and 40th percentiles called?

Back

This difference is referred to as the interpercentile range, which provides information about the variability of the data.

Front

What factors can affect the correlation coefficient (r)?

Back

None of the above factors can affect the r-value; correlation is a measure of the strength and direction of a linear relationship between two variables.

Front

How do you determine the sample size needed for a survey to achieve a specific margin of error?

Back

The sample size can be determined using the formula that incorporates the desired margin of error, confidence level, and the population proportion.

Front

What is a confidence interval?

Back

A confidence interval is a range of values, derived from a data set, that is likely to contain the value of an unknown population parameter.

Front

What is the relationship between sample size and confidence interval width?

Back

As the sample size increases, the width of the confidence interval decreases, leading to a more precise estimate of the population parameter.

Front

What is the significance of a 95% confidence level?

Back

A 95% confidence level means that if the same population is sampled multiple times, approximately 95% of the calculated confidence intervals will contain the true population parameter.

Front

What is the effect of a larger sample size on the margin of error?

Back

A larger sample size results in a smaller margin of error, leading to more accurate estimates of population parameters.