The table contains prices from two companies, one on the east coast and one on the west coast, forspecific fish types. Find a 90% confidence interval for the mean difference in wholesale price between theeast coast and west coast suppliers. Round to two decimal places.Wholesale Prices of Fish in DollarsFishEast Coast19.99721.9926.9929.9928.9923.9931.9929.99CodTilapiaFarmed SalmonOrganic SalmonGrouper FilletTunaSwordfishSea BassStriped Bass-1.59West Coast18.9912With 90price between the east coast and west coast suppliers is between $ -4.86X20.9928.9930.9932.9929.9938.9933.99O % confidence, it can be said that the true mean difference in wholesalex and $

We have calculated mean and sd using excel:

Answered: The table contains prices from two…

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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Discuss and compare Measures of Central Tendency, Measures of Dispersion, and Measures of skewness.
The table contains prices from two companies, one on the east coast and one on the west coast, for specific fish types. Find a 90% confidence interval for the mean difference in wholesale price between the east coast and west coast suppliers. Round to two decimal places. Wholesale Prices of Fish in Dollars Fish East Coast 19.99 7 21.99 26.99 29.99 28.99 23.99 31.99 29.99 Cod Tilapia Farmed Salmon Organic Salmon Grouper Fillet Tuna Swordfish Sea Bass Striped Bass 3.69 West Coast 18.99 12 20.99 28.99 30.99 32.99 29.99 With 90 price between the east coast and west coast suppliers is between $ -9.69 X 38.99 33.99 O % confidence, it can be said that the true mean difference in wholesale x and $
1. The data in the file represent egg and cheese symbolizes the total fat, in grams per serving, for a sample of 20 egg and cheese sandwiches from a fast food restaurant. The data are as follows: 7 8 3 5 15 21 22 24 18 33 23 31 25 19 29 29 29 30 41 55 1. Find the mean, mode and the median. 2. Construct 95% confidence interval for the population mean total fat, in grams preserving.
4.25
3. Given the following GPA for 4 students: 2, 3, 3, 4. Age of students are: 10, 11,12, 15. There are 10,000 total students. Average GPA: Unknown, StandardDeviation of GPA: 0.02 and it’s Normal.a. Find the mean and standard deviation for GPA.b. Calculate a 95% confidence interval for the populations mean GPA.c. Use Correlation formula to find r between GPA and Age.d. Find Regression Line Equation.e. If a student’s age is 13, what is the corresponding GPA?
For the data in the Excel file Education and Income, find 95% confidence intervals for the mean annual income of males and the mean annual income of females. Can you conclude that the mean income of one group is larger than the other? Education and Income Gender Age Level of Education Gross Annual Income Female 40-60 Graduate Degree $75,000 Female 25-39 Bachelor's Degree $47,000 Male 40-60 High School/GED $40,000 Female 25-39 Some College $30,000 Female 25-39 Some College $60,000 Female 40-60 Bachelor's Degree $80,000 Female 25-39 Bachelor's Degree $10,000 Female 25-39 Bachelor's Degree $43,000 Male 25-39 Bachelor's Degree $130,000 Female 40-60 Bachelor's Degree $89,000 Female 40-60 Graduate Degree $50,000 Female 18-24 Some College $13,462 Female 25-39 Bachelor's Degree $85,000 Male 25-39 Bachelor's Degree $60,000 Male 40-60 Graduate Degree $200,000 Female 25-39 Associates Degree $44,000 Male 25-39 High School/GED $26,000 Male…
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The problem below looks at forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of York County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the regression equation for this data. Use the weeks (1-24) as the independent variable (x) and number of calls as the dependent variable (y). Once you have the equation, forecast weeks 4 through 24 (enter 4, 5, 6, etc. as the x…
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2. Which measures of central tendency can be used for the variable below? Explain why each of the three measures of central tendency is or is not applicable. Answer Here: How closely do you follow the news about current events? Would you say... Cumulative Frequency Percent Valid Percent Percent Valid Most of the time 1128 41.9 41.9 41.9 some of the time 1304 48.4 48.5 90.4 rarely 239 8.9 8.9 99.3 never 19 .7 .7 100.0 Total 2690 99.9 100.0 Missing Don't Know/Refused (DON'T READ) 2 .1
Calculate the most appropriate measures of central tendency and dispersion for the following variable. Respondents were asked to rank how likely they would support ending Obamacare on a scale ranging from 0, definitely would not support, to 10, would definitely support. Here are their scores: 0, 0, 5, 5, 6, 8, 10, 7, 1, 2, 3, 0, 4, 5, 1, 9, 10, 7, 1, 2, 0, 6, 8
The accompanying table shows data for the weights of backpacks for men and women. Assume that the data are from random samples and the distributions are Normal. Complete parts (a) and (b) below. E Click the icon to view the data table. a. Find a 95% confidence interval for the difference between means HFemale - HMale state whether it captures 0, and explain what that shows about the mean. The 95% confidence interval is ( D (Round to two decimal places as needed. Use ascending order.) Backpack weights Female Male 10 10 12 8 9. 7 5 10 7 20 3 11 8 14 13 11 14 6 7 22 11 12 15 10 17 22 10 7 25 11 7 15 11 11 4 16 13 20 21 15 10 9. 16 10 15 13 10 10 17 12 11 38 6. 6. 7 19 12 13 20 8 14 15 18 19 10 16 16 13 18 12 14 13 13 15 14 14 7 7 14 13 27 11

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