The test score data from the sample of trainees are as follows:1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same. Sample1N34567 00289101112Before trainingClass AClass B606265606656686066584858725868596265665545566059After trainingClass A666268597074706868687568Class B606065586866686050587358

Given information: μ=65n=24α=0.05

The test score data from the sample of trainees are as follows: 1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.

The test score data from the sample of trainees are as follows: 1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.

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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Question

The test score data from the sample of trainees are as follows:

1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.

Sample
1
N34567 00
2
8
9
10
11
12
Before training
Class A
Class B
60
62
65
60
66
56
68
60
66
58
48
58
72
58
68
59
62
65
66
55
45
56
60
59
After training
Class A
66
62
68
59
70
74
70
68
68
68
75
68
Class B
60
60
65
58
68
66
68
60
50
58
73
58

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Weight City MPG 3968 20 3583 22 3470 22 3527 23 3990 18 4724 17 3692 21 3315 22 3616 20 5527 14 3719 16 3097 26 3800 19 3532 25 2269 31 5674 15 3402 20 4029 19 3996 19 3242 23 2434 31 2575 29 2960 27 3618 15 4054 19 3192 24 3305 23 3605 19 4240 15 3933 18 3633 19 3790 17 3477 20 3258 21 4685 17 2776 25 2615 24 3186 21 5137 13 3461 21 4233 16 4178 18 4702 17 3713 22 5794 14 2306 28 3194 26 3428 22 4894 12 4751 17 2605 29 3296 25 5267 13 2789 25 3570 19 4011 18 2363 27 4398 15 2806 25 2127 36 2665 27 3419 24 3427 24 3280 25 5765 13 3465 24 2295 30 3038 22 3070 25 4711 17 3230 24 3528 21 4667 16 SUMMARY OUTPUT Regression Statistics Multiple R 0.894328844 R Square 0.799824082 Adjusted R Square 0.797004703 Standard Error 2.238112689…
123751 141667 141668159584 159585177501 Alternate Answer Class limits 70,000-87,916 87.917-105,833 105,834-123,750 123,751-141,667 141,668-159,584 159,585-177,501 Part 3 of 4 Find the class boundaries. Class boundaries 69999 5 87916.5 87916.5 105833.5 105,834-123,750 105833.5 123750.5 123750.5 141667. 141.668-159,584 141667.5 159584.5 159584.5 177501.5 Class limits 70,000-87,916 $7,917-105.833 123.751-141.667 159,585-177,501 Alternate Answer: Class limitS 70,000-87,916 87.917-105,833 105,834-123.750 123,751-141.667 141,668-159,584 Class boundaries 69.999.5-87,916.5 87.916.5-105,8335 105.833.5-123,750.5 123.750 5-141,667.5 141,667.5-159,584.5 159,584.5-177,501.5 159,585-177,501 Part: 3/4 Part 4 of 4 Find the frequencies. Class limits Class boundaries Frequency 70,000-87.916 69,999.5-87,916.5 87,917-105,833 87,916.5-105,833.5 105,834-123,750 105,833.5-123,750.5 123,751-141,667 123,750.5-141,667 5 141,668-159,584 141,667.5-159,584.5 159,585-177,501 159,584.5-177,5015 Total
1st blank: 0.6267, 0.5006, 33, 0.7843 2nd blank: 1.44, 2.25, 1.15, 1.80 3rd blank: 0.7843, 0.6267, 0.5006, 0.4 4th blank: 2.25, 1.80, 1.15, 1.44 5th blank: larger or smaller 6th blank: 0.2689, 0.1293, 0.0145, 0.0378 7th blank: 0.0378, 0.1293, 0.0100, 0.2612 8th blank: flatter and more spread out or more like the z distribution
Actors Stems Actresses 2 146667 98753221 3 0011334445577 88776543322100 4 11129 6651 5
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Zip Code 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 405 93905 760 4 93905 630 4 93905 from ho 640 ales above, 3 93905eath ip 749 find: sampl 4 93905 503 3 93905 43908 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 Price 714 855 598 769 529 795 715 635 989 93901 93901 93901 93901 790 605 800 480 660 799 900 799 640 650 93906 do the 1069 93906 700 93906 819 635 850 840 625 730 728 840 845 785 700 609 739 685 675 565 595 Bedrooms 3 5 3 4 2 5 3 4 6 4 3 5 3 2 3 3 4 6 3 3 2 4 3 4 3 4 4 3 4 4 4 3 2 3 3322 Baths 1 3 3 3 1 3 2 3 3 3 1 3 1 1 3 2 13 abd 3 1 3 3 2 3 3 2 2 2 3 2 3 2 3 3 2 3 3 3 3 2 3 2 2 1 1 Square Feet 821 2658 1638 2607 729 2253 1529 1980 3074 2607 948 2076 1089 863 2255 1353 1442 1837 920 2450 1877 1231 2191 3043 1814 1498 1240 2905 1328 2195 1112 2156 2276 1450 2400 2191 2207 1852 1077 1501 1152 1420 816 1212
Significant Figures Find the number of significant digits. 1) 1235567 2) 80 3) 098764 4) 012 5) 007633 6) 0005360 7) 200 8) 39300674 9) 607073 10) 010100
Explain the deretmaine
Weight Height110 64123 63110 64134 71129 64129 62123 65115 64.5122 68.5120 65.5111 64115 64117 63107 62170 7591 61118 62130 63135 66120 63125 67117 67135 6488 61130 67150 62135 66130 66120 63150 69160 70120 64126 68130 66130 69140 68180 64135 68145 68130 62150 66150 68115 66140 70120 63185 66110 66130 70125 64145 67105 63120 61145 65185 77172 71130 64155 66150 70175 73164 72130 70210 73150 72140 72130 69160 72145 69130 67130 67125 67185 74120 67275 71170 70130 67150 71150 67200 71145 69145 71 Use the variable “weight” as the dependent variable and “height” as the independent variable. (a) Use Excel (or other statistical software) to finish the regression analysis. Then compare your outputs from t-test and ANOVA table, and comment on what you find. (b) Construct a 99% confidence interval for the estimate of slope. (c) Suppose we want to predict the height of student of heights 60, 65, and 70 inches. Give your prediction values and their prediction intervals.