9Next TWO questions are related to the following sample data:Jane, a statistics student, wants to build a confidence interval with a 95% confidence level for themean commuting distance of all IUPUI students. She selects a random sample of students andobtains the following commuting distance data. The data show the distance from the studentresidence to the campus in miles).bCd11b8:19 1dDone128.6238.39.122.68.21412.314.99.416.512.714.90.3950.3590.326194810.210.74.714.420.128.529.6187.513.11612.417.316.711.961718397The standard error of the mean is,0.43414.9314.59E270 T5 Armour, Tori.xlsx14.2413.672938313910.820.913.517.911.135.434.133.031.91313.210.114.112.611.512.213.214.719.719.338263012.914.717.413.112.810.910.321.27.68.2The confidence interval with a 95% confidence level is26.127.410 The interval estimate is,11.8312.1812.5213.10Next two questions are related to the following sample dataYou gather a random sample of court records from the files of adults charged with assault to obtain aninterval estimate of the mean age of those charged. You obtain the following sample of age data.35193131192333402018.59.615.811.120.21021.29.917.716.210.913.510.923.311.119.810.4314117.410.68.324.1617.211.416.56.9272133361418.116.212.76.96.711.315.817.7You want to obtain a margin of error of 2 years for your 95 % interval estimate. What is theminimum sample size to reach this margin of error? Use the standard deviation from yourprevious sample as the planning value.15.310.56.59.6Next two questions are related to the following sample dataA random sample of employees of a multinational corporation yielded the following annual salarydata (in dollars).53320778507982049030 806001050206668085190 63490 96090 76590 115180 10319091320 87370 58190 8308050540 12313094340 116690124930 10072074600688501052408353068530840009663077200972507569035620 97440 100510 83340 6055075010 107320 83760 117490 916106203070190 70140 8311076140 73620 7942080320 6270050020 79980 53640 106980 8977097630 123700 9667074330 56780 73140733601008106106081010616309992088150 1099908357095300103260101580 105260 113480783009359084760 57450 7868074110 96580764209434089820 7338070540104060 103290 1125209826088680 101730 5592011783010016080790733606285081710 61630 81880 90100 9581052060 87370 72160 7219058410 101340 75780 89080 9319062040 7976074680 9250053810719109668011573010213074550 1371907807066600839406606056020 117340 131390107310 111390324709378040890750408811097550 107810825008856095650 98870 96550126620 81340 8749085100 50970 91400 6501068950 103360 54260 6558087390 71900 8854073720 80310 75480 93080 72360970201165707405080000513507.34.112.488250847308428012.810.39.49.316.113.32212611906259012.416.3557007518057810 94410670706658090500547009057061210956608575053290 7783064520 45270

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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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3. Given the following GPA for 4 students: 2, 3, 3, 4. Age of students are: 10, 11,12, 15. There are 10,000 total students. Average GPA: Unknown, StandardDeviation of GPA: 0.02 and it’s Normal.a. Find the mean and standard deviation for GPA.b. Calculate a 95% confidence interval for the populations mean GPA.c. Use Correlation formula to find r between GPA and Age.d. Find Regression Line Equation.e. If a student’s age is 13, what is the corresponding GPA?
The principal randomly selected six students to take an aptitude test. Their scores were:88.0 84.1 74.9 83.2 83.7 85.5Determine a 90% confidence interval for the mean score for all students.
A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…
A survey of several 11 to 12 year olds recorded the following amounts spent on a trip to the mall: $19.55,$25.44,$25.80,$14.87,$11.83,$19.89 Construct the 80% confidence interval for the average amount spent by 11 to 12 year olds on a trip to the mall. Assume the population is approximately normal. Step 1 of 4 : Calculate the sample mean for the given sample data. Round your answer to two decimal places.
For each scenario listed below, determine whether the scenario represents an Independent Samples or Dependent Samples (Matched Pairs) situation by placing the appropriate letter in the box provided. a. Comparing pre-test scores before training to post-test scores: OIndependent Samples OMatched Pairs b. Comparing the number of speeding tickets received by men to the number received by women: OIndependent Samples Matched Pairs c. Comparing pain levels of a group receiving a placebo to a group receiving a medicine: Independent Samples OMatched Pairs d. Comparing pain levels before and after treatment with magnetic therapy: Independent Samples OMatched Pairs
An online travel agent that specializes in cruises wanted to compare the cost of cruising to different destinations on various cruise lines. The following random sample data show the average cost of a seven-day cruise in a standard room to two locations. Assume the population variances for the cruise fares for these destinations are equal. Complete parts a through c. Location 2 $928 $128 11 Sample mean Sample standard deviation Sample size Location 1 $994 $135 8 C a. Construct a 98% confidence interval to estimate the difference between the average rates of cruising to location 1 vs. cruising to location 2. The 98% confidence interval is (.). (Round to two decimal places as needed.)
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An experiment was conducted to determine if exposure to an advertisement would change attitude toward a product. Each subject’s attitude before and after exposure to the advertisement was recorded, using a valid ten point scale. The results indicated: Subject Attitude Post Exposure Attitude Pre Exposure 1 6 4 2 8 5 3 6 6 4 4 3 5 7 2 6 6 3 7 9 6 8 7 6 9 8 5 10 8 6 Set up hypotheses and test to determine if the mean attitude toward the product increased as a result of exposure to the advertisement. (Note: these samples must be regarded as dependent, as each subject served as both a control (pre-exposure) and a treatment (post exposure). Fully interpret your result.
When forming a confidence interval for matched-pair data the point estimate is the Select one: O A. standard deviation of the differences. OB. differences of the standard deviations. O C. mean of the differences. O D. difference of the means.
I often hear the opinion that "people who listen to classical music are smarter". In an attempt to test that claim, I gave an IQ test to twO groups of people: Group 1: Students who primarily listen to non-classical music. Group 2: Students who primarily listen to classical music. Their scores are summarized in the following table: Std. Deviation Group 1 111 Group 2 100 98 87 119 108 102 110 10.392 85 105 97 114 93 101 9.142 < Answer the question using a 0.10 level of significance. Select the response which fills-in-the-blank to create a correct sentence: Based on the information and previous parts of the problem, there listen to classical music tend to perform better on an IQ test than those who do not. evidence to support the claim that students who primarily is certain O is not sufficient O is sufficient O cannot be
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You are a researcher studying the antler size of male Alaskan Moose in a certain Alaska location. You gather a random sample of 18 male moose and record the width (in feet) of the antlers. The data is displayed in the table below. Estimate the mean antler width of all Alaskan male moose in this area. Use a 90% confidence level. 3.6 5.6 3.4 3.4 4 5.2 4.6 4.3 4.6 4.6 2.2 6.4 3.6 3.1 5.4 4.4 3.3 4.3 a) Find the confidence interval: < μμ < b) What is the margin of error of your interval? c) Interpret your 90% confidence interval in context.

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