1. Two electric car engine/battery systems A and B were compared. The amount of miles driven on a single charge wasmeasured. The results of the experiments are given in the following table.SystemANumber of Trials5075Average Mileage3642a. Find a 99% confidence interval for uB – HA, the difference in population mean mileages for battery systems Band A. Assume we know the population standard deviations are 6 miles for A and 8 miles for B.b. The engineer for battery system A says that "Engine system A performs just as well as system B. While thesample average for B, 42, is higher than that of A, 36, these are just the results of a limited experiment and due tosample variance." Based on your Confidence Interval you found in part (a), would you agree or disagree with theclaim that the systems perform equally?

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Answered: 1. Two electric car engine/battery…

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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A student would like to estimate the proportion of students at his school who have lunch during period 4. To do so, he selects a random sample of 40 students and finds that 30% of them have period 4 lunch. Later, he goes to the guidance office and finds that of the 380 students at this school, 25% of them have period 4 lunch. Which of the following properly describes the number, 25%? O sample O statistic O population O parameter Save and Exit Next Submit Mark this and return hp $ & 4. 6. 7 8 e r y f j k
A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
If the critical z-value for a test statistic equals 2.45, what value of the test statistic would provide the least chance of making a Type I error? Select one: a.4.56 b.10,000 c.5.63 d.2.46 e.3.74
You recently had a cholesterol panel completed and see that the results for your High Density Lipoprotien (HDL) level comes back with z = -1.7 among people of your stature. Your doctor is going to review the results with you but based on what you know about z-scores you can infer: a.The average person of your stature is 1.7 deviations below you. b.Your HDL level is slightly below average. c.The score is negative so this will be good news. d.Your HDL level is extremely low for a person of your stature.
2.18 2.42 2.57 2.89 Suppose the data represent the inches of rainfall in April for a certain city over the course of 20 years. 4.79 D 0.53 0.76 1.23 1.37 1.86 3.37 3.66 3.88 4.09 4.49 5.04 5.36 5.79 Given the quartiles Q, = 2.020, Q, = 3.280, and Q3 = 4.640, compute the interquartile range, IQR. 3.19 6.08 IQR =D (Round to three decimal places as needed.)
The following is a portion of a classic data set called the "pilot plot data" in Fitting Equations to Data by Daniel and Wood, published in 1971. The response y is the acid content of material produced by titration, whereas the regressor x is the organic acid content produced by extraction and weighing. a. Find R2 and r. b. Construct a 95% confidence interval for B1. c. Construct a 90% confidence interval for Bo. Y 76 123 62 55 66 100 58 75 88 159 70 109 37 48 82 138 88 164 43 28
Tina catches a 14-pound bass. She does not know the population mean or standard deviation. So she takes a sample of five friends and they say the last bass they caught was 9, 12, 13, 10, and 10 pounds. Find the t and calculate a 95% (α = .05) confidence interval.
Given the following: Sample Mean = 84.3 Population Variance = 144 Sample size = 35 a. Calculate a 90% confidence interval for the mean. Interpret this interval. b. Calculate a 99% confidence interval for the mean. c. Explain the relationship between Confidence Levels and the resulting intervals.
answer blank
What is the inter-quartile range of pH values. (choose the closest answer)? ph 5.8 5.7 5.6 5.5 5.4 5.3 5.2 5.1 5.0 4.7 4.6 4.5 4.4 4.3 4.2 4.1 A. 0.5 B. 4.9 C. 0.6 D. 4.3 E. 1.6 Boxplot of ph I
It has been estimated that the 1991 G-car obtains a mean of 35 miles per gallon on the highway, and the company that manufactures the car claims that it exceeds the estimate in highway driving. To support its assertion, the company randomly selects 49 1991 G-cars and records the mileage obtained for each car over a driving course similar to that used to obtain the estimate. The following data resulted: x = 36.5 miles per gallon, s = 7 miles per gallon. %3D a. Find the observed significance level for testing Ho: u= 35 vs. Ha: u> 35. %3D b. For what value of significance level a, you will reject the null hypothesis.
Given two dependent random samples with the following results: Population 1 48 29 32 29 38 31 28 Population 2 45 38 41 16 40 28 38 Use this data to find the 95% confidence interval for the true difference between the population means. Assume that both populations are normally distributed. Copy Data Step 2 of 4 : Calculate the sample standard deviation of the paired differences. Round your answer to six decimal places.

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