µ1 = average obtained by students who changed schoolsµ2 = average obtained by students who remained in the same school during the six yearsWe want to find out if students who change schools have a lower academic performance than those who remain inthe same primary school for all six years.identifyThe research hypothesis H1The null hypothesis HOThe rejection region of the null hypothesis1. H;: H1 > H2H1: H1 - H2 > 0Họ: H1 - H2 < 02. Ho: H1 < H23. (-00, -tin-1)]1. H;: H1 < Hz2. Họ: H1 > H23. [tin-1), 0)H1: H1 - H2 < 0Họ: H1 – H2 > 01. H1: 41 < H22. Ho: H1 > H2H1: H1 - H2 < 0Ho: H1 - H2 > 03. (-00, -tin-1)]1. H;: 41 > H22. Họ: H1 < H23. [tin-1), ∞)H;: µ1 – H2 > 0Ho: H1 - H2 < 0

Test is that whether students who change schools have a lower academic performance than those who…

Answered: identify The research hypothesis H1 The…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
Lecture(8.8): The amount of time people engage in physical activity mat be related to health outcome. Those who report that they spend more than 15 hours are put into one while those who spend less 10 were put into another group. (Those who fall in between 10 and 15 were left out of the study); The reaearcher then ask the participants to wear a monitor for one month. The average time in minutes is recorded and shown below . Is there any evidence that on average people who watch less than 10 hours watching televsion spend more time on physical activity.?. Test the hypotheses at (alpha=0.05) using the 5 step procedure <10 hours 75 63 118 35 82 >15 hours 62 6 78 43 22 33
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pls only answer b-d. I am having a hard time plotting residuals to letter b could you please explain it also. Thank you very much
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Cardiovascular Disease Suppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45- to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. 7.14 Of the 15 new MI cases in the preceding study, 5 died within 24 hours. Test whether the 24-hour case- fatality rate changed from 2000 to 2010.
O 100% 4 l LTE VEN 11:08 AM Fri Mar 12 A app.edulastic.com AA E Edulastic O GRADE 6: TERM 1TA- PERIOD 1| Schoology > NEXT A BOOKMARK Question 1/18 Sal's Orange Stand made a table that shows a relationship between the total number of oranges and the number of boxes they sell. Each box has the same number of oranges. Sal made an error in one of the rows. 1 Sal's Orange Stand Number of Row Number Number of Boxes Oranges 1 13 2 65 91 7 4. 130 10 156 12 Part A Which row contains Sal's error? Enter the row number in the first response box.

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identify The research hypothesis H1 The null hypothesis HO The rejection region of the null hypothesis