The following summarizes the amount of snowfall in Ontario over the past number of years. If 95% and 98% confidence intervals were developed to estimate the true average annual snowfall, what differences would exist?
A) Standard errors
B) Interval widths
C) Z-values
D) Both interval widths and Z-values

Question

The following summarizes the amount of snowfall in Ontario over the past number of years.  If 95% and 98% confidence intervals were developed to estimate the true average annual snowfall, what differences would exist?
A) Standard errors 
B) Interval widths 
C) Z-values 
D) Both interval widths and Z-values

Quizplus · Accepted Answer

The difference between 95% and 98% confidence intervals would affect both interval widths and z-values. As the confidence level increases, the interval width also increases, providing wider ranges of possible values for the true average annual snowfall. Additionally, as the confidence level increases, the z-value also increases, resulting in a narrower interval. Therefore, there would be differences in both interval widths and z-values.

The Following Summarizes the Amount of Snowfall in Ontario Over