b) The table below shows the color and the model of cars purchased by 160 randomlyselected customers at a car dealership in 2020.ModelColorТоyotaHyundaiRed1719White2535Black3529Use a 5 percent level of significance to test the null hypothesis that color chosen and car modelare independent.State the null and alternative hypotheses for this test.ii.a. the expected frequency for red vehicle and the Toyota modelb. the chis-square contribution, x², for red vehicle and the Toyota modeli.Calculate:

There are two categorical variables which are color and model. We have to test whether the clolor…

Answered: (a selected customers at a car…

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 table below shows the age and favorite type of music of 668 randomly selected people. Rock Pop Classical 15-25 50 85 73 25-35 73 95 60 36-45 85 70 77 Use a 1 percent level of significance to test the null hypothesis that age and preferred music type are independent.
atched Ani... 00Watch Invincible S... You can retry this question below ▼ Part 1 of 4 One study indicates that the number of televisions that American households have is distributed as in the following table. Percent of U.S. Households that Own Certain Number of TVs Number of TVs Percent of Households 0 1 2 3 4+ 0 1 2 3 4+ A random sample of 544 households in North Dakota resulted in the data in the following table. Number of TVs Reported Owned by 544 households in North Dakota Number of TVs At the 4% significance level, does it appear that the distribution "number of televisions" of households in North Dakota is different from the distribution for U.S. households as a whole? Step 1: State the null and alternative hypotheses. Number of TVs 0 Pokemon Jigglypu... Number of Households Ho: The distribution of the number of televisions in households in North Dakota matches the distribution of households in United States as a whole. ✓ 1 H₂: The distribution of the number of televisions in…
The table below gives the two-way classification of 400 randomly selected persons based on their status as a smoker or a nonsmoker and on the number of visits they made to their physicians last year. Suppose you must test the hypothesis at 5% level of significance whether there is a relationship between smoking and visits to the physician. Status Visits to the Physician 0-1 2-4 >3D5 Smoker 25 60 75 Nonsmoker 110 90 40 The expected frequencies will be O a) 54, 44,81. 90 and 70 O b) 54, 60. 81. 90 and 69 Oc) 112, 100.90,81 and 69 Odi69.82. 55. 90 and 112
Only c and d
Random samples of 54 male students and 53 female students at the U of A were asked to state their car preference (American, European, and Japanese). The resulting frequencies are shown in the following table. Is there enough evidence to conclude a difference in car preference between males and females? American European Japanese :Male 18 12 24 Female 18 (a) In performing this statistical test, state the hypotheses. O Họ: the distribution of preference is not the same for males and females vs. HA: the distribution of preference is the same for males and females O Họ: the distribution of gender is not the same for each car preference vs. Ha: the distribution of gender is the same for each car preference O Họ: the distribution of preference is the same for males and females vs. Ha: the distribution of preference is not the same for males and females O Họ: the proportion of females is the same for each car preference vs. HA: the proportion of females is not the same for each car preference…
13. Priti, a shopkeeper, is studying whether customers' preference for striped or solid-color ties differs by age. She asks 180 customers to indicate their preference, and she records whether each customer is under or over 30 years old. Here is the distribution of responses: Striped Solid-Color Under 30 90 40 Over 30 10 40 Priti conducts a hypothesis test (a = .05) and obtains a value of 35.45 for the test statistic. %3D Which statistical test did Priti use? Be specific. Why did she use this particular test? What is the critical value of the test statistic in Priti's test? What is the effect size? Report the results in APA style, including the relevant descriptives.
The expected proportions of colors of M&Ms according to the Mars candy company can be found in the table below. In addition, the table contains the number of M&M's of each color that were found in a case of candy. At the 1% level, do the observed frequencies support the claim of M&M? M&M Observed Counts and Expected Proportions blue brown green orange red yellow Total Observed Frequencies 474 379 489 550 363 359 2614 Expected Proportion 0.24 0.13 0.16 0.2 0.13 0.14
Ten randomly selected people took an IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below. Person A B C D E F G H I J Test A 103 86 93 116 89 104 124 97 108 80 Test B 104 87 96 121 90 104 123 97 112 78 1. Consider (Test A - Test B). Use a 0.05 significance level to test the claim that people do better on the second test than they do on the first. (Note: You may wish to use software.) (a) What test method should be used?A. Two Sample t B. Two Sample z C. Matched Pairs (b) The test statistic is ........ (c) The critical value is .......... (d) Is there sufficient evidence to support the claim that people do better on the second test? A. Yes B. No2. Construct a 95% confidence interval for the mean of the differences. Again, use (Test A - Test B). .......<μ<..........
A random sample of eight pairs of twins was randomly assigned to treatment A or treatment B. The data are given in the following table.Twins : 1 2 3 4 5 6 7 8Treatment A: 48.3 44.6 49.7 40.5 54.3 55.6 45.8 35.4Treatment B: 43.5 43.8 53.7 43.9 54.4 54.7 45.2 34.4a. Is there significant evidence that the two treatments differ using an α = 0.05 paired t test.b. Place a 95% confidence interval on the mean difference between the responses from the two treatments.
A group of AP Statistics students wanted to see if plain, peanut, and almond M&Ms have the same color distribution. To test this, students took a random sample of each type of M&M and classified the candies in the sample by color. They plan to carry out a chi-square test to decide if there is evidence that the color distributions are not the same for the three types of M&Ms. Red Blue Green Orange Brown Piain 20 18 15 10 14 12 Peanut 8 6 8 25 5 7 Almond 7 11 10 12 10 What is the expected count for green peanut M&Ms? А 25/47 (25x47)/47 (59x47)/59 (59x47)/207 В C D
46% of all statistics classes require an advanced calculator and 38% require the use of a computer that has statistical software. Of the classes that require an advanced calculator, 18% also require the use of a computer. If a statistics course is selected at random find A. P(Advanced Calculator) = [ Select ] ["0.57", "0.38", "0.18", "0.46"] B. P(Statistical Software) = [ Select ] ["0.38", "0.57", "0.46", "0.18"] C. P(Require an Advanced Calculator and Statistical Software) = [ Select ] ["0.1259", "0.1748", "0.0828", "0.8335"] D. P(Require an Advanced Calculator GIVEN Require Statistical Software) = [ Select ] ["0.3515", "0.18", "0.2184", "0.9716"]

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