Listed below are PSAT scores and SAT scores from prospective collegeapplicants. The scores were reported by subjects who responded to a request postedby the Web site talk.collegeconfidential.com.207 167 206 197PSAT 183142 193176SAT 2200 2040 1890 2380 2290 2070 2370 1980(1) Is there sufficient evidence to conclude that there is a linear correlation betweenPSAT scores and SAT scores? Use 0.01 as the significance level.(2) One subject not included in the given table had a PSAT score of 229. Find thebest predicted SAT score for this student. Is the result close to the reported value of2400?

The data for the PSAT scores and SAT scores are given.

Answered: Listed below are PSAT scores and SAT…

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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Consider the following data: 5.3, 5.5, 7.5,7.7,7.7, 7.7,7.7, 7.9, 7.9,7.9,8.1,8.0,8.2,8.4,8.6,8.6,8.8, 8.8, 8.9. The First Quartile value, Q1, of this data set is: The Second Quartile value, Q2, of this data set is: The Third Quartile value, Q3, of this data set is: The Inter Quartile Range, IQR value, of this data set is: The interval for outlier detection using the Quartile infromation for this data set is:
What is the sample correlation between the average reading score and the average math score? a. 0.9229015 b. 0.5686818 c. 0.6902859 d. 15.768 Read Math 691.6 690 660.5 661.9 636.3 650.9 651.9 643.5 641.8 639.9 605.7 605.4 604.5 609 605.5 612.5 608.9 616.1 611.9 613.4 612.8 618.7 616.6 616 612.8 619.8 610 622.6 611.9 621 614.8 619.9 611.7 624.4 614.9 621.7 619.1 620.5 621.3 619.3 615.6 625.4 619.9 622.9 622.9 620.6 620.7 623.4 619.5 625.7 625 621.2 620.4 626 616.5 630.4 620.1 627.1 627.9 620.4 620.4 628.7 623 626.9 620.8 629.8 626.1 625.6 625.4 626.8 625.4 628.2 623.6 630.2 628.9 625.3 624.4 630.1 627.5 627.1 627.8 628.7 621.6 635.2 629.4 627.7 621.1 636.2 626.5 631 630.2…
Starship Media Entertainment's budget director, Ms. Janice Hammington, wanted to compare the daily travel expenses for the audit staff and the sales staff. For this reason, she gathered the following sample data. Audit ($) 130 102 129 143 149 120 139 Sales ($) 131 135 146 165 136 142 At the 0.10 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff? (Assume that the variable is normally distributed.) Additionally, using the given information, conduct a test whether the variances of expenses for audit and sales staff are equal.
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A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys. Clothes Food Toys 56 35 42 32 39 42 34 39 53 35 55 60 28 47 63 31 42 53 17 34 48 31 43 58 20 57 47 47 51 44 51 54 E Click here for the Excel Data File 1. Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place and Fvalue to 2 decimal places.) Source df MS F Factors Error Total 2. Find the values of mean and standard deviation. (Round the mean and standard deviation values to 3 decimal places.) Level N Mean StDev Clothes Food Toys
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