**Section (b): Confidence Interval Calculation****Objective:** Calculate the 90% confidence interval for the mean.- **Task:** Fill in the correct values, rounding your answers to three decimal places. - 90% confidence interval for the mean is from [_________] lb to [_________] lb.**Instructions:** Select the correct description(s) of this interval. More than one option may apply. - [ ] The interval is found by adding and subtracting a multiple of the mean to the standard error mean. - [ ] The interval is found by adding and subtracting a multiple of the standard error mean from the mean. - [ ] The mean of the sample is equal to the mean of the population. - [ ] There is a 10% chance that the confidence interval does not contain the mean weight of the school. - [ ] There is a 10% chance the mean weight of the school is above the larger number in the interval. - [ ] There is a 90% chance that the confidence interval contains the mean weight of the school.**Section (c): Confidence Interval Analysis****Objective:** Calculate the 99% confidence interval for the mean.- **Task:** Fill in the correct values, rounding your answers to three decimal places. - There is a 1% chance the mean weight of the school is outside the interval [_________] lb to [_________] lb. **Student Weight Analysis**The weights, in pounds, of 20 students at a local school have been sampled and recorded in the following analysis.**Histogram and Box Plot:**- The central histogram represents the distribution of student weights. It shows a concentration of students in the 160-200 pound range, with the tallest bar appearing around 180 pounds.- The box plot above the histogram indicates the median, quartiles, and potential outliers. The median weight is marked at 176 pounds, with one outlier above 240 pounds.**Quantiles Table:**- Maximum weight: 247 pounds- Upper and lower percentiles provide additional insights: 210.1 (90th percentile), 192.5 (75th percentile or upper quartile), 176 (median), 158.25 (25th percentile or lower quartile), and 138 (minimum weight).**Summary Statistics:**- Mean weight: 178.6 pounds- Standard deviation (Std Dev): 24.690505 - Standard error of the mean (Std Err Mean): 5.5209648**Confidence Intervals:**- 90% Confidence Interval for Mean: - Estimate: 178.6 - Lower CI: 169.0535 - Upper CI: 188.1465- 99% Confidence Interval for Mean: - Estimate: 178.6 - Lower CI: 162.8049 - Upper CI: 194.3951For Std Dev:- 90% Confidence Interval: Lower CI = 19.60242, Upper CI = 33.83613- 99% Confidence Interval: Lower CI = 17.32658, Upper CI = 41.1389**Additional Details:**- Sample size (N): 20 students- The data suggests variability in weights, with a tendency towards the mean of 178.6 pounds, depicted through a typical distribution spread shown by the standard deviation and accompanying confidence intervals.

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Description: **Section (b): Confidence Interval Calculation****Objective:** Calculate the 90% confidence interval for the mean.- **Task:** Fill in the correct values, rounding your answers to three decimal places. - 90% confidence interval for the mean is from

There is one output is given. In the output, for 90% confidence interval is (169.0535, 188.1465).…

Answered: Fill in the correct values. (Round your…

Math

Statistics

Fill in the correct values. (Round your answers to three decimal places.) The 90% confidence interval for the mean is Ib to Ib.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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