1. Evaluate the requirements needed to compute a confidence interval for “WEIGHT” and “CHEST’. Explain whether or not the requirements were met.
2. Look in detail at the variable “WEIGHT”.
a. Look at the boxplot or dotplot to check for normality. Insert a copy of plot here. Interpret the results.
b. Calculate a 95% confidence interval for the mean weight of bears. Show the interval and interpret the results.
1. Now let’s look at the variable “CHEST”.
a. Again, look at the boxplot or äßJßiött0 check for normality. Insert a copy of the plot here. Interpret the results.
b. Calculate a 95% confidence interval for the mean chest measurement. Show the interval and interpret the results.
a. Your statistics professor makes the claim that the average chest measurement in the population is equal to 40 inches. You doubt your professor’s claim because your professor is not a bear expert. Test the professor’s claim using statistics you computed. Use a 1% significance level (a = 0.01). Show all steps of hypothesis testing including interpreting the results.
1. Using the data in the file and Excel, can you conclude that the weights for male bears are different from the weights for female bears? Use a 10% significance level (a = 0.1). Show all steps of hypothesis testing here.