C. The following table shows the price of a text book for quantitive methods in different stores in Zambia: k113 k120 k123 k145 k146 k147 k166 Sorted prices for a text book k128 k129 k136 k139 k142 k143 k153 k159 k161 k163 k165 k172 k180 k183 k199 k126 k152 k153 k166 k167 k169 k169 k170 Assuming the prices are normally distributed; (i) Find the mean of the prices. (ii) Find the standard deviation of the prices. Page 2 of 4 (iii) Find the percentage of values within one standard deviation around the mean. (iv) Find the percentage of values within two standard deviations around the mean. (v) Find the percentage of values within three standard deviations around the mean.

C. The following table shows the price of a text book for quantitive methods in different stores in Zambia: k113 k120 k123 k145 k146 k147 k166 Sorted prices for a text book k128 k129 k136 k139 k142 k143 k153 k159 k161 k163 k165 k172 k180 k183 k199 k126 k152 k153 k166 k167 k169 k169 k170 Assuming the prices are normally distributed; (i) Find the mean of the prices. (ii) Find the standard deviation of the prices. Page 2 of 4 (iii) Find the percentage of values within one standard deviation around the mean. (iv) Find the percentage of values within two standard deviations around the mean. (v) Find the percentage of values within three standard deviations around the mean.

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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14. Match these values of r with the accompanying scatterplots: 0.363, 0.994, - 0.747, 0.747, and 1. Click the icon to view the scatterplots. Match the values of r to the scatterplots. Scatterplot 1, r= (1) %3D Scatterplot 2, r= (2) %3D Scatterplot 3, r= (3) Scatterplot 4, r= (4) – Scatterplot 5, r= (5). 6: Scatterplots Scatterplot 1 Scatterplot 2 Scatterplot 3 157 14- 6- 13- > 4- 12- 11- 2- 10 0 0.2 0.4 0.6 0.8 0. 0.2 0.4 0.6 0.8 1 1 0.2 0.4 0.6 0.8 1 Scatterplot 4 Scatterplot 5 6- 6- .. 4- > 4- 2- 2- 0. 0.2 0.4 0.6 0.8 1 0. 0.2 0.4 0.6 0.8 1 (1) O 0.994 O 0.747 0 1 O - 0.747 O 0.363 (2) O 0.994 O - 0.747 O 0.363 O 1 O 0.747 (3) O 0.994 O 0.747 O 1 O 0.747 O 0.363 (4) O 0.994 O -0.747 O 0.747 O 0.363 (5) O 0.363 O-0.747 0 1 O 0.747 6- 4.
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I NEED THE ANSWER TO THE "NUMBER OF DUMMY VARIABLES" A manager of a local package delivery store believes that too many of the packages were damaged or lost. She extracts a sample of 75 packages with the following variables: the package number (Package), the status of the package (Status: Delivered, Damaged, or Lost), the delivery type (Delivery: Standard, Express, or Same day), and the size of the package (Size: S, M, L, and XL). A portion of the data is shown in the accompanying table. Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L ⋮ ⋮ ⋮ ⋮ 75 Damaged Same day M a)Transform the Delivery variable into dummy variables. Use the most frequent category as the reference category. How many dummy variables should be created? Which category of Delivery is the reference category? Number of dummy variables: ???? Reference Category: Standard Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L 3 Lost Standard S 4 Delivered…
) 3 2010 06 36% Progress Camila and Evelyn work at a dry cleaners ironing shirts. Camila can iron 40 shirts per hour, and Evelyn can iron 20 shirts per hour. How many total shirts would be ironed between the two workers if Camila worked 6 hours and Evelyn worked 9 hours on a given day? How many total shirts would be ironed between the two workers if Camila worked a hours and Evelyn worked y hours on a given day? Camila works 6 hours and Evelyn works 9 hours: I ACaila works a hours and Evelyn works y hours: Submit Answer attempt i out of 2 Privacy Policy Terms of Service Copyright 2021 DeltaMath.com. All Rights Reserved DELL 女 23 2$ & 2 4. 5 6 7 8. b. W e y i a S f k
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What can you conclude about Group 2? Group of answer choices: 1. Group 2 does not differ in FIQ from Groups 1 or 3 2. Group 2 has significantly lower FIQ than Group 1 3. Group 2 has significantly higher FIQ than Groups 1 or 3 4. Group 2 has significantly lower FIQ than Group 1 but does not differ in FIQ from Group 3 5. None of the above What can you conclude about Group 3? Group of answer choices: 1. Group 3 has significantly higher FIQ than Group 1 2. Group 3 has significantly lower FIQ than Groups 1 or 2 3. Group 3 has significantly higher FIQ than Group 2 but does not differ in FIQ from Group 1 4. Group 3 does not differ in FIQ from Groups 1 or 2 5. None of the above
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The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
Pevc/hider.htmidan by manild HP-See What's Hot Day GEMINDTAP $99552100301236/50RRESCISHIN 9 Web Slice Gallery F = HP Games What in your conclusion 97033/10103581 168/313/198819shcild 311391 Pokemon Best Wis... LEXIN Fast-Food Worker Nurse 3 4 4 6 5 4 5 5 4 6 4 6 5 5 3 7 a. Use a = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions. (to 2 decimals) The p-value is between 0.025 and 0.05 What is your conclusion? CIK Assignment ✪ A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people (Pew Research website, http://www.pewinternet.org/2017/10/04/americans-attitudes-toward-a-future-in-which- robots-and-computers-can-do-many-human-jobs/). Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be…
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