Match the following definition to the correct term below. Two numbers that we think a population parameter is in between.

The following bootstrap confidence interval was created from random sample data in order to estimate the population mean average amount of mercury is in fish in Florida lakes. How many random samples were taken in order to make this bootstrap distribution? Image_Exam2_Bootstrap_Florida_Mercury.pdf

Use the upper and lower limit of the confidence interval and the following formula to calculate the sample mean. Do not round your answer. Lower Limit = 974.33 Upper Limit = 1207.64 Sample Mean = (Upper Limit + Lower Limit) / 2

Which type of sample data do we need if we want to estimate a population percentage (proportion) with a confidence interval?

Match the following definition to the correct term below. The process of random selecting values from one original real random sample with replacement.

Match the following definition to the correct term below. Total distance that a sample statistic might be off from the population parameter.

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