QUESTION 6Assume you are a new car salesperson. You want to determine which of 5 new types of vehicle your customers initially are most interested in. Youposition the cars in your salesroom and keep a record of which each new customer approaches when they first walk through showroom door. Doesthe distribution of choices differ from the expected 1/5 for each new vehicle?Pearson's rO One sample z testO Goodness of fit chi-squareOne-way between-subjects ANOVAQUESTION 7A political analyst interviews three groups of voters, democrats, republicans, and independents. Each subject then rates, using a 20-item scale,how well they agree with the policies of the current administration. Is there a difference in the ratings? What statistical procedure would you use?One-way between-subjects ANOVAOne-way within-subjects ANOVATwo-way between-subjects ANOVAO Independent samples chi-square

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QUESTION 6 Assume you are a new car salesperson. You want to determine which of 5 new types of vehicle your customers initially are most interested in. You position the cars in your salesroom and keep a record of which each new customer approaches when they first walk through showroom door. Does the distribution of choices differ from the expected 1/5 for each new vehicle? O Pearson'sr One sample z test O Goodness of fit chi-square O One-way between-subjects ANOVA

QUESTION 6 Assume you are a new car salesperson. You want to determine which of 5 new types of vehicle your customers initially are most interested in. You position the cars in your salesroom and keep a record of which each new customer approaches when they first walk through showroom door. Does the distribution of choices differ from the expected 1/5 for each new vehicle? O Pearson'sr One sample z test O Goodness of fit chi-square O One-way between-subjects ANOVA

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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12need help with parts A, D and E please
2. The test scores of 16 students are listed below: 44, 46, 51, 57, 60, 63, 65, 70, 75, 76, 85, 87, 90, 94, 95, 97. (c) Find the third quartile of the above data. 87 88.5 57 58.5
Please help me!! this is all one question and I am required to submit it as whole!! i promise to rate it but please help me The age distribution of the Canadian population and the age distribution of a random sample of 455 residents in the Indian community of a village are shown below. Age (years) Percent of Canadian Population Observed Numberin the Village Under 5 7.2% 51 5 to 14 13.6% 78 15 to 64 67.1% 280 65 and older 12.1% 46 Use a 5% level of significance to test the claim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Village. (a) What is the level of significance?State the null and alternate hypotheses. H0: The distributions are the same.H1: The distributions are different.H0: The distributions are the same.H1: The distributions are the same. H0: The distributions are…
Hi, I need your help. I would be very happy, if you give detailed explanation. Thanks
Hi, I need your help.I would be very happy if you could give detailed explanation. Thanks
I need help with stats/2023 classify the 2 given samples as independent or dependent. sample 1: the number of home runs hit by 44 professional baseball players in their rookie season sample 2: the number of home runs hit by the same 44 professional baseball players in their final season. choose the correct answer: A. The 2 given samples are independent because the same athletes were sampled. B. The 2 given samples are independent because the different athletes were sampled C. The 2 given samples are dependent because the same athletes were sampled. D. The 2 given samples are dependent because different athletes were sampled.
The age of first marriage for women who responded to a survey by the CDC between 2006 and 2010 is used here. The women who first married in their twenties were randomly divided into three groups: A, B, and C. The ANOVA output is supplied below: Count NAS (Missings) 3773 group Count A 1288 B 1246 C 1239 Frequency Source DF 2 group Residual 3770 28 26 24 Response Variable (age) Summary Mean 22 20 T 0 Group Variable Summary NAS Mean (Missings) 23.73787 A 0 23.76941 0 23.77929 0 23.66344 ANOVA Table: age-group Sum of Squares 10.283 26969 Mean Square Std. Dev. Std. Dev. 2.674442 B F Value Pr>F MSG 0.71875 0.48743 MSE Age of First Marriage in 20's 2.728097 2.664101 2.628699 C
The strength test carried out on samples of two yarns spun to the same count gave the following results Sample size Sample mean Sample Variance Yarn A 4 52 42 Yarn B 9 42 56 The strengths are expressed in pounds. Is the difference in mean strength significant of sources from which the sample are drawn?
Do rats take the same amount of time on average than hamsters to travel through a maze? The table below shows the times in seconds that the rats and hamsters took. Rats: 31, 26, 35, 34, 31, 39, 39, 6 Hamsters: 36, 35, 16, 29, 20, 25, 28, 37 Assume that both populations follow a normal distribution. What can be concluded at the a = 0.05 level of significance level of significance? For this studv, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer V (please enter a decimal) H1: Select an answer v Select an answer v v (Please enter a decimal) Select an answer b. The test statistic ?v= (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ? va e. Based on this, we should Select an answer v the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically insignificant at a = 0.05, so there is…
14 2. The test scores, of 16 students are listed below: 44, 46, 51, 57, 60, 63, 65, 70, 75, 76, 85, 87, 90, 94, 95, 97. (b) Find the first quartile of the above data, 87 88.5 58.5 57
Women are recommended to consume 1870 calories per day. You suspect that the average calorie intake is larger for women at your college. The data for the 11 women who participated in the study is shown below: 1799, 1703, 2097, 2112, 1824, 1956, 2072, 2113, 1951, 1872, 2126 Assuming that the distribution is normal, what can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Họ: ?v Select an answer v H: ? vSelect an answer c. The test statistic (please show your answer to 3 decimal places.) d. The p-value = e. The p-value is ? f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... O The data suggest that the population mean calorie intake for women at your college is not significantly more than 1870 at a = 0.01, so there is insufficient evidence to conclude that the population mean calorie intake for women at your college is more than 1870. (Please show your…
I. Handwritten This is already complete.