(a) Calculate and interpret the sample mean and median.The sample mean is x = 641.5thousand dollars and the sample median is x = 584.5This means that the average sale price for a home in this sample was $ 640150than the medianprice, while half were more than the medianthousand dollars.X and that half the sales were for lessprice.(b) Suppose the 6th observation had been 985 rather than 1,285. How would the mean and median change?Changing that one value has no effect on either the sample mean nor the sample median.Changing that one value raises the sample mean but has no effect on the sample median.Changing that one value has no effect on the sample mean but lowers the sample median.Changing that one value has no effect on the sample mean but raises the sample median.Changing that one value lowers the sample mean but has no effect on the sample median.(c) Calculate a 20% trimmed mean by first trimming the two smallest and two largest observations. (Round your answer to thenearest hundred dollars.)(d) Calculate a 15% trimmed mean. (Round your answer to the nearest hundred dollars.)$

Part (a): Calculate and interpret the sample mean and median.The sample mean is a measure of the…

Answered: (a) Calculate and interpret the sample…

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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Suppose that a polling company surveyed 600 people about how much time they spend watching television each day. The results of this survey were compiled and used to create this relative frequency histogram. Assume that all percentages shown in the histogram are whole numbers. Each of the bars in this histogram includes only the left endpoint of the class except for the last bar, which also includes the right endpoint. What percentage of respondents said that they watch television at least six hours per day? How many respondents said that they watch television between three and five hours per day?
Please solve the following:
A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data summarized in the table below. National 3.15 Regional 36.75 Local Mean Standard Deviation Source Between Within 151 Total Fill in the hypotheses below: Ho: All the means are equal. Ha: At least one mean is different from the others. 7.4359 14.1558 SS 70.0204 Part 2 of 3 Complete the following ANOVA summary table (a 0.10). Round your answers to three decimal places, if necessary, and round any interim calculations to four decimal places. Sample Size df 20 12 8 MS - F P-value
You saw back in Chapter 2 that the mean, median, mode, and midrange are used to indicate where data is centered in a data set, or in other words what a typical value in the set is. A question that is often asked is, "If they're all supposed to do the same thing, why is there more than one?" Isn't one enough? In this exercise, you will be given two small sets of data. For each set, a. find the mean, median, mode and midrange b. in your opinion, decide which of the measures BEST represents all the values in the set (best indicates a typical value), and which one does this the WORST. c. post your responses and justify them by explaining why Don't forget to respond to at least one of your classmate's posts. With this exercise, "more is better." I'll elaborate after the deadline. • Set A: the salaries of 10 employees at a company (in thousands of dollars): 50, 50, 50, 50, 50, 50, 50, 50, 50, 500 • Set B: the grades of 9 students on an exam: 20, 25, 30, 35, 40, 45, 100, 100, 100
A study of new home prices was conducted in a neighborhood of 2000 homes. The median price of a new home is reported to be $172,400 and the mean price is reported to be $196,000. describe the distribution of new home prices, explaining the relationship between the given median and mean. How many new homes cost more than $172,400?
A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data is summarized in the table below. National Mean Standard Deviation Sample Size Local -2.1 Regional 27.1667 143.125 Fill in the hypotheses below: Ho: Select an answer Ha: Select an answer 10.3257 20.797 53.5922 20 12 8
. State the interval estimate that contains more possible values of the population mean (precision) for a 90% CI or a 95% CI for the same data.
Colleges announce an "average" SAT score for their entering freshmen. Usually the college would like this "average" to be as high as possible. A NewYork Times article noted, "Private colleges that buy lots of top students with merit scholarships prefer the mean, while open-enrollment public instituions like medians." Use what you know about the behavior of means and medians to explain these differences.
A colleague of yours is faced with testing a relationship at the .05 level or significance or the .01 level of significance. What is your advice to your colleague? Why?
decimal equivalent to 3/2pi
1) The question screenshot attached down below answer all and just need final answer
what would happen to the mean, median, and mode values that you calculated ,if you added one player to the team whose points per game for the season was 25. just tell me if the mean, median, and mode would go up, down, or stay the same. Give an example of variable for which the mean would not be appropriate to describe the data (that is, tell me a circumstance in which you would not want to use the mean to describe a dataset)

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