The follow data represent the number of times students at a certain university read the newspaper each week. Use software to complete parts a through d below. Females: 0,6,1,14,0,11,4,0,4,1,7,7,0,3,3,5,1,7,3,2,5,7,3,2,2,2,7,3,4,5,4p Males: 7,5,5,1,2,8,2,5,3,3,5,6,3,7,0,5,5.3,2,14,0,3,5,3,2,4,5,7,2 a. Construct and interpret a plot comparing responses by females and males Which histogram below shows the responses by females and males? O A B. Number of Times Students Read a Newspaper per Week Number of Times Students Read a Newspaper per Week Number of Times Students Read a Newspaper per Week Females Males Females Males Females Males 0- 0 2 4 6 8 10 12 14 Number of Times per Week 0246 10 12 14 Number of Times per Week 0 2 4 6 8 10 12 14 Number of Times per Week Which statement below best describes the correct histogram? O A. O B. ° C. The distribution of responses for females and males are about the same and both are approximately normal. The distribution of responses for females is skewed to the left. The distribution of responses for males is approximately normal The distribution of responses for females is skewed to the right. The distribution of responses for males is skewed to the left. D. The distribution of responses for females and males are about the same and both are skewed to the right. D. Construct and interpret a 95% confidence interval comparing population means for females (4) and males ( The 95% confidence interval for (u -uu) is from 1 to Round to two decimal places as needed.)

Respuesta :

The distribution of response for females and males are about the same and both are skewed to the right.

The required Confidence interval is from -1.01735 to 0.797108.

What is Confidence interval?

A confidence interval (CI) in frequentist statistics is a range of estimates for an unknown parameter. A confidence interval is calculated at a specified level of confidence; the most popular level is 95%, but other levels, like 90% or 99%, are occasionally used.

The confidence level is the percentage of corresponding CIs over the long run that actually contain the parameter's true value. As an illustration, 95% of all intervals computed at the 95% level should contain the parameter's actual value.

The sample size, the variability within the sample, and the confidence level are all variables that influence the width of the CI.

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