Here are summary statistics for the weights of Pepsi in randomly selected cans: - Sample size \( n = 36 \) - Sample mean \( \bar{x} = 0.82412 \) lb - Sample standard deviation \( s = 0.00573 \) lb Use a confidence level of 95% to complete parts (a) through (c) below.---a. **Identify the critical value \( t_{\alpha/2} \) used for finding the margin of error.** \( t_{\alpha/2} = 2.03 \) (Round to two decimal places as needed.)b. **Find the margin of error.** \( E = 0.00194 \) lb (Round to five decimal places as needed.)c. **Find the confidence interval estimate of \(\mu\).** ( \(0.82218 \) lb < \(\mu\) < \(0.82606\) lb ) (Round to five decimal places as needed.)

Sample size(n)=36sample mean()=0.82412Sample standard deviation(s)=0.00573

Answered: Here are summary statistics for the…

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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Pls answer number 3, with solution Thank you
llustration 11.11. Compute quartile deviation and coefficient of skewness from the following values. Median=18.8 centimetres Q1=14.6 centimetres Q3 = 25.2 centimetres %3D
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The blood pressure in millimeters was measured for a large sample of people. The average pressure is 140 mm, and the SD of the measurements is 20 mm. The histogram looks reasonably like a normal curv Use the normal curve to estimate the following percentages. Choose the answer that is closest to being correct. A 19.1% B 30.9% C 38.2% D 69.1% E 68.27% A The percentage of people with blood pressure between 130 and 150 mm. B The percentage of people with blood pressure between 140 and 150 mm. D The percentage of people with blood pressure over 150 mm.
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To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Pls answer Number 2 with solution , thank u!
The following data represent the results from the specific gravity test performed in a soil laboratory including twenty samples of sand. * :The value of Root Mean Square is Specific Gravity 2.30-2.39 Number of Samples 1 2.40-2.49 2.50-2.59 3 2.60-2.69 2.70-2.79 6. 7 2.80-2.89 1 3.6-3.8 2.97-3.0 2.4-2.5 2.85-2.95 2.75-2.84 1.5-2.0 2.6-2.7 2.32-2.39
a. What is the value of the standard error of the estimate (to 4 decima b. Test for a significant relationship by using thet test. Use a = 0.05. %3D What is the value of the t test statistic (to 2 decimals)? What is the p-value? Use Table 2 of Appendix B. Select your answer - What is your conclusion (a = 0.05)? %3D Select your answer - c. Use the F test to test for a significant relationship. Use a = 0.05.
In a measurement of B two results were obtained, B1 = (8.3+/- 0.78) mT and B2 = (8.81+/- 0.20) mT . The error on the weighted/arithmetic mean is (Report your answer in mT with 3 significant figures)
Solve this problem to find the sample standard deviation

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