. A milk producers union wishes to test whether the preference pattern ofconsumers tor its products is dependent on income levels. A random sample of 500individuals gives the following data : -Product preferredIncomeProductProductProductABCLow1703080Medium502560High201055Can you conclude that the preference patterns are independent of income levels ?

Answered: Image /qna-images/answer/b8d911b5-83fc-4e3d-a3b7-9449ade967a6.jpg

Answered: . A milk producers union wishes to test…

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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3.
The gap between the earnings of men and women with equal education is narrowing but has not closed. Sample data for seven self-identifying men and self-identifying seven women with bachelor's degrees are as follows. Data are shown in thousands of dollars. Men Women 33.6 40.5 88.5 48.4 58.2 37.9 66.2 43.5 45.2 38.8 59.9 57.5 68.3 20.8 (a) What is the median salary (in $) for men? For women? men women $ $ (b) Use α = 0.05 and conduct the hypothesis test for identical population distributions. State the null and alternative hypotheses. H: Median salary for men - Median salary for women ≤ 0 H: Median salary for men - Median salary for women > 0 H: The two populations of salaries are identical. H: The two populations of salaries are not identical. Ho The two populations of salaries are not identical. H: The two populations of salaries are identical. О но H₂ Median salary for men - Median salary for women ≥0 Median salary for men - Median salary for women 0 H: Median salary for men - Median…
In a market survey conducted to examine whether the choice of a brand is related to the income levels of the consumers, a random sample of 400 consumers reveal the following: Income level (per month) Brand 1 Brand 2 Brand 3 Total <20000 93 72 75 240 20000-50000 50 35 37 122 >50000 12 15 11 38 Total 155 122 123 400 Test the association between income level and brand preference at 5% significant level.
Q-2 A milk producers union wishes to test whether the preference pattern of consumers for its products is dependent on income levels. A random sample of 786 individuals gives the following data: Income A B C Low 17 30 80 Medium 50 25 60 High 20 15 55 Very High 15 70 66 Can you conclude that the preference patterns are independent of income levels?
Solve the following problems. Use separate sheets when necessary. 1. A supermarket owner conducted a survey on the preference of the customers to a certain brand of coffee sold in his supermarket. The first 100 customers who en- tered the supermarket on a given day were interviewed and the results are shown below. Brand Brand x Brand y Brand z No. of 25 45 30 Customers Test the hypothesis that brand preference of the customers do not differ at 5% level of significance.
A famous online video game streamer made a quick survey whether his viewers are playing video games or not. Results showed that almost 100% said they play video games. What kind of bias was made? Selection Bias Survivorship Bias Confirmation Bias Preference Bias
How would you create a statistical analysis based on the scenario below? Explain. What level of significance would you test at and why? A researcher is examining preferences among four new flavors of ice cream. A sample of n = 80 people is obtained. Each person tastes all four flavors and then picks a favorite. The distribution of preferences is as follows. Do these data indicate any significance preferences among the four flavors using the chi-square test? Ice Cream Flavor A B C D 12 18 28 22
The following table shows the cumulative frequency distribution of the preferred length of kitchen slabs obtained from the preference study on housewives. Length (in meters) more than 1.0 1.5 2.0 2.5 3.0 3.5Housewives 50 48 42 40 10 5 A manufacturer has to take a decision on what length of slabs to manufacture. What length would you recommend?
The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Type of Household Percent of U.S. Households Observed Number of Households in the Community Married with children 26% 96 Married, no children 29% 118 Single parent 9% 37 One person 25% 95 Other (e.g., roommates, siblings) 11% 65 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the null and alternate hypotheses. H0: The distributions are the same.H1: The distributions are the same. H0: The distributions are the same.H1: The distributions are different. H0: The distributions are different.H1: The distributions are the same. H0: The distributions are different.H1: The distributions are different. (b) Find the…
A marketer is examining the effectiveness of color scheme on the willingness to subscribe to a user's social media account. She creates three different profiles using three different color schemes: red, blue, and green. Twenty participants are asked to evaluate how much they like each of the profiles using a scale of 1 (do not like) to 5 (like a lot). What statistical procedure should you use to analyze these data? O independent groups t test O correlated groups t test O One Way Between Subjects ANOVA O One Way Repeated Measures ANOVA
From the following data tind out whether there is any relationship between sex and preference for colours : Colour Males Females Total Green 40 60 100 White 35 25 60 Yellow 25 15 40 Total 100 100 200
The student population at the state college consists of 60% females and 40% males. A. The college theater department recently staged a production of a modern musical. A researcher recorded the gender of each student entering the theater and found a total of 37 females and 18 males. Is the gender distribution for theatergoers significantly different from the distribution for the general college? Test at the .05 level of significance. B. The same researcher also recorded the gender of each student watching a men’s basketball game in the college gym and found a total of 58 females and 82 males. Is the gender distribution for basketball fans significantly different from the distribution for the general college? Test at the .05 level of significance.

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