Answer the following problems. Apply the different steps in hypothesis testing.1. A sales manager wanted to know whether there was significant difference in themonthly sales of four representatives. Veniz is strictly on salary and small allowance,Alyson is strictly on commission, Alyxa is on commission and small salary, and Elijahis on small commission and a salary. Five months were chosen at random. The datarepresents monthly sales in units of product.VenizAlysonAlyxaElijah2028233124223025262429263025202722262521Using 0.01 level of significance, test the hypothesis that there is no difference in themean monthly sales of the representatives. Solution:Step 1: State the hypotheses.Ho:H₁:Step 2: The level of significance and critical region. α =Step 3: Compute for the value of one sample t test. tcomputed =Step 4: Decision rule.Step 5: Conclusion.df =and tritical =

Given data: Veniz Alyson Alyxa Elijah 20 28 23 31 24 22 30 25 26 24 29 26 30 25 20 27…

Answered: Answer the following problems. Apply…

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 number of traffic citations given daily by two police departments over a two week period is shown in the box and whisker plots. Which statement is not true?
If there are 11 people in the first sample and 10 people in the second sample, the degrees of freedom for the first sample is type your answer... and type your answer... for the second sample.
Five students taking a Business Statistics module at MANCOSA were asked to provide an example of a variable they have encountered in their day-to-day life. Their responses are as follows: Student Variable Lungani Nsika Thembekile Mduduzi The body temperature of a patient diagnosed with COVID-19 The price of a technology company stock on the NASDAQ The age of his bull mastiff The number of female students in Mduduzi's Python class Which student provided a variable which does not have a true zero? A. Nsika B. Lingani and Nsika C. Thembekile and Mduduzi D. Lungani
A company has 30 employees, including a director. The lowest salary among the 30 employees is $22,000. The director’s salary is $180,000, which is more than twice as much as anyone else’s salary. Decide for each of the following statements about the 30 salaries whether it is true, false, or you cannot tell on the basis of the information at hand. • The median salary is below $60,000.• The average salary is below $60,000.• If all salaries are increased by $1,000, that adds $1,000 to the average.• If the director’s salary is doubled, and all other salaries remain the same, that increases the average salary.• If the director’s salary is doubled, and all other salaries remain the same, that increases the median salary.• The standard deviation of the salaries is larger than $180,000
One attempt at the problem listed below. I need help with this problem.
3899 you're a data analyst for an insurance company. You want to make sure that your employer is not over-paying for car repairs. To investigate this, you bring 38 different cars to two different garages, Bubba's Hubcap Heaven and Repair, and Merle's Motor Shop. Some of the cars need lots of repairs. Some of the cars need very few. By taking each car to both shops, we can directly compare the two sets of prices. Before running your analysis, be sure to look at the data file and verify that each car requires a different amount of repairs, and that prices in one shop are correlated with prices at the other shop. That is, they're in the same ballpark. The question is whether one tends to charge more, on average, than the other. Your task is to use Excel to test the research hypothesis that prices are different in the two shops; the null hypothesis is that prices are equal between the two shops. You test at the alpha = 0.01 significance level. What do you conclude? Are prices the same?…
Which summary statement best reflects the findings of the hypothesis test above. O The sample data suggests that happiness and technology use are dependent. The sample data suggests that the mean happiness scores of the the 3 technology groups are different. The sample data suggests that the mean happiness scores of the the 3 technology groups are not different. The sample data suggests that the proportion of happiness is the same for all technology groups.
A plumber was interested in determining whether there is a significant difference in the price charged for plumbing tools by two hardware stores. The plumber selected five tools and recorded the price for each tool in each store. The following data was recorded: Store 1 2 Tool 2 R59.25 R22.50 R450 R44.25 R22.50 R36.75 R75 4 R480 R44.25 R60 Perform the appropriate test of hypothesis to determine whether there is a significant difference, on average, in the price of plumbing tools between the two stores, showing all 7 steps. Include both the rejection region and the p-value.
PROBLEM : The given table shows the scores of the representative students from the three sections in a Science exam. (attached picture) Is there a difference in the mean Science exam scores of the students from the three sections? Use a .05 level of significance. Show all necessary computations and solutions. Follow the hypothesis testing procedure.
Twenty students in a group of 40 at Dawn High elect for a course in statistics (St. Eleven students take up linear algebra (L). Five students enrolled for both courses. Represent the data in the Venn diagram below.
Part an and b please.
A salesman makes initial telephone contact with potential customers in an effort to assess whether a follow-up visit to their homes is likely to be worthwhile. His experience suggests that 40% of the initial contacts lead to follow-up visits. Suppose he contacts 100 people by telephone and the sample proportion of the follow-up visit is calculated. Which of the following statements is (are) correct? This is a multiple-answer question. It may have more than one correct answers. i. The sample proportion has a normal distribution with a mean of 0.40 and a standard deviation of 04x0.4 = 0.049. 100 Oil. The sample proportion has a normal distribution with a mean of 0.40 and a standard deviation of 0.6. iii. The probability that the sample proportion of the follow-up visit is more than 50% is P(p>0.5) = P(z>04-05)=P(z>-2.04) = 1-0.0207 = 0.9793. iv. The probability that the sample proportion of the follow-up visit is more than 50% is P(p>0.5)=P(2> 05 = P(Z > 2.04) = 1-0.9793= 0.0207.…

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