Use the following for questions 1 - 2:three lanes at his toll booth. He selects a random sample from all the cars that approach theA statistically-minded toll collector wonders if drivers are equally likely to choose each of thebooth when all three lanes are empty, so that the driver's choice isn't influenced by the carsalready at the booth.Here are his results:LaneLeft Center Right169Number of students 137 159Which of the following is the approalternative hypothesis for addressing this question? 2. Which of the following is the correct expression for the chi-square goodness-of-fit test in thissituation?(35) x² =(b) x² =2((c) )x(d) x² =(e) x² ==(137-155)155(137-155)137(137-155)²+155(137-155)²137(137-155)²465(159-155)155(159-155)159(159-155)² (169-155)2155(169-155) 21+++++155(159-155)²159(159-155)²465(169-155)155(169-155)169++2+2169(169-155) 21465Squared cannot be outsideof parentheses, plus observedminus expected is the denoverator.

The question is about categorical data analysis Given : To find : 1 ) appropriate alternative…

Answered: 2. Which of the following is the…

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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For each p value stated below (1) what is the decision for each if α=.05 and (2) what is the decision for each if α=.01? (a) p=.1000 (b)p=.0050
We want to test whether or not more students are absent on Friday afternoon classes than on Wednesday afternoon classes. In a random sample of 300 students with Friday afternoon classes, 62 missed the class. In a different random sample of 300 students with Wednesday afternoon classes, 22 missed the class. The table below summarizes this information. The standard error (SE) is given to save calculation time if you are not using software. Class Day total # of absences (x) total # of students (n) Friday Wednesday (b) Find the critical value. (c) Find the p-value. Test the claim that the absentee rate on all Friday afternoon classes is greater than the absentee rate on all Wednesday afternoon classes. Test this claim at the 0.05 significance level. (a) Find the test statistic. O No 62 22 Standard Error: SE= 0.0283313724811677 (d) Is there sufficient data to support the claim? Yes 300 300 proportion = x/n 0.206666666666667 0.0733333333333333 Can you support the claim at the 0.01…
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1 Find Karl Pearson's coefficient of Skewness from the data: 1, 5, 4, 6, 4, 10
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P(39)=50C39(0.61)39(1-0.61)50-39 Probablilty exsactly 39 of murdes were cleared P(x=39)
(c-1) Comparison of credits at time of graduation for randomly chosen accounting and economics students: x⎯⎯1x¯1 = 149, s1 = 2.8, n1 = 12, x⎯⎯2x¯2 = 146, s2 = 2.7, n2 = 17, α = .05, right-tailed test.(Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick" rules for degrees of freedom.) d.f. t-calculated p-value t-critical
A production superintendent claims that there is no difference between the employee accident rates for the day versus the evening shifts in a large manufacturing plant. The number of accidents per day is recorded for both the day and evening shifts for n = 100 days. It is found that the number of accidents per day for the evening shift XE exceeded the corresponding number of accidents on the day shift xp on 63 of the 100 days. Do these results provide sufficient evidence to indicate that more accidents tend to occur on one shift than on the other or, equivalently, that P(XE > XD) # 1/2?
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The t-test for dependent means should be used in which of the following scenarios? You are comparing more than two groups that are related. You are comparing more than two groups that are unrelated. You are comparing exactly two groups that are unrelated. You are comparing exactly two groups that are related.

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