- The following table gives the distribution of students according to age in completedyears and regular players among them.Age in Years151617181920No. of Students25020015012010080Regular Players20015090483012Calculate Coefficient of association between maturity and playing habit, on the assumption thatmaturity is attained in the 18th year of age.io..

Answered: Image /qna-images/answer/523ed0fa-5efc-47ee-9996-e420c4990ecd.jpg

Answered: - The following table gives the…

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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Give the statistical meaning of the relationship between the spending hours on using mobile andreading books per day.
If actual period demand varies from the forecast by more than 3MAD, this indicates: there is 3% chance that the forecast is wrong. there is a 98% chance that the forecast is wrong. there is a 97% chance that the forecast is wrong. there is a 3% chance that the forecast is correct Moving to the next question prevents changes to this answer:
The data describes the life expectancy for males in 160 countries. The following statements analyze the data distributions for countries with low-per-capita income and countries with high-per-capita income. Per capita income(160 countries) Life expectancy (males) Low High 45-49 2 0 50-54 8 1 55-59 16 1 60-64 18 6 65-69 18 7 70-74 8 32 75-79 0 31 80-84 0 12 Totals 70 90 Suppose that you are tasked with writing analysis to compare the distribution of male life expectancy for low-income countries with the distribution of male life expectancy for high-income countries. Which of the following statements should you include in your analysis? Check all that apply. Group of answer choices 1. Typically, countries with low per capita income have a male life expectancy of 60 to 70 years, and countries with high per capita income have a male life expectancy of 70 to 80 years. 2. The overall range in life expectancies for males living in…
2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13. 14 38 15 39 23 26 29 16 19 23 15 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an interval for such Type 1 error probability.
All companies are rightly concerned about the income disparity between Males and Females and FringeTech is no different. Is there any evidence in the data that Males are earning more than Females on average? Gender Income ($000) F 94.1 F 69.4 F 81.7 F 72.1 F 90.1 F 84.4 F 77.5 F 124 F 71.2 F 72.1 F 75.7 F 79.8 F 76.7 F 65.1 F 83.8 F 85.8 F 70.6 F 93.3 F 80.1 F 80.8 F 85.5 F 62.1 F 88.5 F 88.2 F 110.3 F 124.6 F 97.6 F 82.4 F 58.2 F 75.5 F 75.1 F 70.5 F 83.9 F 95.5 F 150.2 F 84.4 F 88.7 F 135.4 F 72.3 F 65.5 F 80.3 F 136.8 F 75.8 F 47.5 F 86.6 F 64.4 F 99.3 F 40 F 69.1 F 107.7 F 74.7 F 90.3 F 82.2 F 97 F 125.3 F 111.1 F 60.4 F 102.7 F 89 F 69.4 F 61.6 F 93.1 F 87.2 F 67.7 F 130.6 F 83.2 F 50.4 F 132.7 F 69.1 F 103.6 F 80.2 F 73.9 F 56.3 F 130.2 F 80.7 M 83.1 M 95.4 M 128.2 M 127.3 M 96.8 M 94 M 125.5 M 107.2 M 92.4 M…
12. MS. Pettipiece wants to see if there is correlation between the students overall Data mark (in percent) in his class and the Grade 11 math mark (in percent). The following data was collected and graphed/ Scatter Plot Collection 1 Collection 1 100 Grade11 Data 90- 67 71 60 79 80- 80 93 :- 70- 69 72 74 66 60- 9. 86 79 50 7 86 89 40 78 67 90 91 55 60 65 70 75 80 85 90 95 Grade11 10 63 70 201 10- 11 72 63 12 76 0- 13 70 75 -10- 14 84 86 -20 15 55 43 55 60 65 70 75 80 85 90 95 Grade11 - Data = 0.866Grade11 + 11: r= 0.50 Discuss the correlation between the Data mark and the Grade 11 mark. Make sure to reference the coefficients of correlation and/or determination in your discussion. Residual Data
1.) The data in the table below show years of teaching experience and annual salary in dollars for 12 randomly selected mathematics instructors in Illinois colleges/ universities for the 2013/2014 school year. Is there a linear correlation between a mathematics instructor’s years of experience and his or her annual salary? Number of Years 7 9 6 7 11 12 11 3 3 7 9 1 Salary (in Dollars) $48,897.00 $62,866.00 $54,585.00 $56,611.00 $53,541.00 $53,541.00 $47,027.00 $47,970.00 $46,668.00 $48,029.00 $46,735.00 $45,000.00 THE OTHER QUESTION 2.) Does incubation or gestation time affect an animal’s average lifespan? Some animals have lifespans that average well over 100 years. The following table lists animals that have some of the longest lifespans on the earth. Is there a correlation between an animal’s gestation/incubation period and its average lifespan in years? Animal: Nile crocodile, Aldabra giant tortoise, Lake sturgeon, Galápagos tortoise, Bowhead whale Average Lifespan (in…
The data below represents international sales versus Canada sales for the McDonalds's Chain. Year Canada Sales International Sales 1987 7.6 2.3 1988 7.9 2.6 1989 8.3 2.9 1990 8.6 3.2 1991 8.8 3.7 1992 9.0 4.1 1993 9.4 4.8 1994 10.2 5.7 1995 11.4 7.0 1996 12.1 8.9 Required: Regress McDonald's international sales then answer the questions: a. What is the regression model? b. Interpret your results Type your numeric answerand submit
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