4. Individuals of various age groups (18-35; 36-55; 56-75) were asked about their trust(measured on a 20 point scale) in Liz Truss:Group18-3536-5556-75Sample Size224866Mean8.7612.2213.11Std. Dev.2.222.963.01 At the 5% significance level, use an ANOVA analysis to test the hypothesis that themean trust in Liz Truss across the 3 age groups is the same.

The question is about ANOVA Given : Sample size of age grp. 18-35 ( n1 ) = 22 Mean trust of age grp.…

Answered: 4. Individuals of various age groups…

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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The following are four consecutive week's earnings of five salesman employed by a given firm: Salesman A. 152,175, 180,165 B. 181,171,203, 159 C.160, 130,124 D. 212,234,240, 220 E. 156,123, 145,137 Test at a level of 5%significance weather difference between salesman are significant. Apply LSD test if required
1. A marketing manager for a cell phone company claims that more than 35% of children aged 10 – 11 have cell phones. In a survey of 5000 randomly selected children ages 10 – 11, 1805 of them had cell phones. Based on the sample data, can you conclude that the manager's claim is true? Use a 1% level of significance. A. Compute the p-value. B. Make a decision. C. Interpret the results.
3. What is the sample mean for the following sample of scores? Scores: 1, 2, 5, 4
In selecting a sample, if you were to obtain a systematic sample of 40 from a population of 600, and your randomly selected starting point is 12, your next three selections should be: a. 24, 36, 48 b. 27, 42, 57 c. 42,92, 137 d. 90, 140, 190
10. If there are 12 numbers in a set of data, the 2nd quartile is the?* 2nd number 5th number 6th number average of 6th and 7th number
What is the value of SS for the following sample? 1,3,2,2?
Use the frequency distribution in Table 3. What is the probability that a randomly selected voter is between 35 and 44 years old? (Round results to 3 decimal places.) Table 3. Voting AgeAges of VotersFrequency(In millions)18 to 20 years old 5.8 21 to 24 years old 8.5 25 to 34 years old 21.7 35 to 44 years old 27.7 45 to 64 years old 51.7 65 years old and over 26.7
3. Consider the following set of data, which represents a simple random sample of heights (in inches) of full-grown corn plants in Horseyetown, WI: (78.5, 88.8, 76.2, 73.0, 79.5, 66.9, 72.4, 86.6, 67.6, 73.5, 72.6, 72.6, 80.0, 69.1, 79.1, 73.9, 72.3, 83.3, 64.3, 69.1) Round your answers to 2 decimal places. A. Calculate the range. B. Calculate the sample mean. C. Calculate sample statistics to estimate the population standard deviation and variance of all full-grown corn plants in Horseyetown, WI.
We wish to determine whether there is a relationship between the gender of ateenager and their preferred brand of running shoes. A survey of 200teenagers produced the following results: Preferred BrandGender,Nike, Asics ,New Balance and TotalFemale nike24 ascis19 new balance59 total102 Male nike32 asics28 new balance38 total98 Total nike56 asics47 new balance97 total200 Perform an appropriate test at a 5% level of significance to determine whetherthere is a relationship between the gender of teenagers and the preferredbrand of running shoes.
2. The following are the numbers of minutes it took random samples of 8 men (group 1) and 5 women (group 2) to complete a written test given for the renewal of their driver's licences Men : 9.9, 7.4, 8.9, 9.1, 7.7,9.7, 11.8, 9.2 Women : 8.6, 10.9, 9.8, 10.7, 9.4 Use a nonparametric test to decide whether to accept the null hypothesis µ1 Hz against the alternative µ1 # µz at 0.05 level of significance.
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5. A high school teacher wants to see if there is an effect on vocabulary recall between when students take a quiz before lunch and when they take it after lunch. She randomly selected 10 students and assessed them before lunch on Tuesday. On Wednesday she randomly selected 10 students and assessed them after lunch. The following were the percentage results Before lunch 62 60 68 64 72 75 63 60 64 80 After lunch 72 85 72 62 84 76 66 63 65 64 What type of samples were selected – independent or dependent (paired)? Explain. StatCrunch was used to analyze the data, and the output for both types of samples (independent and dependent) is given below. Using the appropriate output, determine if the mean quiz score is higher for those who take the quiz before lunch over those who take the quiz after lunch at a significance level of 0.05. Hypothesis test results: mean before lunch mean after lunch Hypothesis test results: : µi - µ2 : mean of the PAIRED difference µ2 : between Before and After…

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4. Individuals of various age groups (18-35; 36-55; 56-75) were asked about their trust (measured on a 20 point scale) in Liz Truss: Group 18-35 36-55 56-75 Sample Size 22 48 66 Mean 8.76 12.22 13.11 Std. Dev. 2.22 2.96 3.01