In the Fall 2015 semester, we compared the population mean average weight in pounds of COC Math 140 students to the population mean average weight in pounds of Math 075 students. Population 1:  Math 140 statistics students Population 2:  Math 075 pre-stat students Use the two-population bootstrap confidence interval below to answer the following question.  What confidence level was used? Image_Exam2_Bootstrap_2pop_stat_prestat_weights.pdf

Where is the estimated population parameter on a sampling distribution that is normally distributed?

The following Confidence Interval upper and lower limits were calculated in order to estimate the percentage (proportion) of animals in a region of Alaska may be infected. Assume all of the assumptions (conditions) were met. How far off could the sample percentage be from the population percentage? Confidence Level = 95% Lower Limit = 0.087 Upper Limit = 0.134 Sample Proportion = 0.1105 Margin of Error = 0.0235 Standard Error = 0.01199 Critical Value Z-score = 1.96  

The following Confidence Interval upper and lower limits were calculated in order to estimate the population mean average hourly salary of Starbucks baristas. Assume all of the assumptions (conditions) were met. How did the computer use the sample mean and margin of error to calculate the upper and lower limits of the confidence interval? Confidence Level = 99% Lower Limit = $8.19 Upper Limit = $15.07 Sample Mean = $11.63 Margin of Error = $3.44 Standard Error = $1.261 Critical Value T-score = 2.728 Degrees of Freedom = 34

Why is it important for a sampling distribution to be normal (bell shaped)?

The following Confidence Interval upper and lower limits were calculated in order to estimate the population mean average hourly salary of Starbucks baristas. Assume all of the assumptions (conditions) were met. How did the computer use the critical value T-score and the Standard Error in order to calculate the Margin of Error? Confidence Level = 99% Lower Limit = $8.19 Upper Limit = $15.07 Sample Mean = $11.63 Margin of Error = $3.44 Standard Error = $1.261 Critical Value T-score = 2.728 Degrees of Freedom = 34

Use the following sample proportion and margin of error to calculate the upper limit of the confidence interval.  Do not round your answer. Upper Limit = Sample Proportion + Margin of Error Sample Proportion = 0.0875 Margin of Error = 0.0119

Which of the following is NOT an assumption (condition) for sample data being good enough to estimate the population percentage (proportion) with a confidence interval?

The following Confidence Interval upper and lower limits were calculated in order to estimate the percentage (proportion) of animals in a region of Alaska may be infected. Assume all of the assumptions (conditions) were met. How did the computer use the sample proportion and margin of error to calculate the upper and lower limits of the confidence interval? Confidence Level = 95% Lower Limit = 0.087 Upper Limit = 0.134 Sample Proportion = 0.1105 Margin of Error = 0.0235 Standard Error = 0.01199 Critical Value Z-score = 1.96

What percent of confidence intervals created with a 90% confidence level will NOT contain the population parameter?