Listed below are numbers of intemet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the line comtation coefficient andKfind the value of r. Determine whether there is sufficient evidence to suppon a claim of linear comelation between the two variables. Use a significance level of a -0.01.Internet UsersAward Winners80.7 79.7 57.1 67.3 7725.3 9.1 32 1610.8Construct a scatterplot Choose the correct graph below.OALUodoaThe linear correlation coefficient isr(Round to three decimal places as needed.)Determine the null and alternative hypothesesHO PHOP(Type integers or decimals. Do not round)The test statistic is t(Round to two decimal places as needed)The value is(Round to three deomal places as needed.)OB.Because the Palun of the linear correlation coefficient isaward winners37.80.1QOCMddu00.dbthe significance level, thereficent evidence to support the claim that there is a war constation between its and

α=0.01 Internet users Award Winners 80.7 5.3 79.7 9.1 57.1 3.2 67.3 1.6 77.2 10.8…

Answered: Listed below are numbers of Intermet…

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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A retail store started a new inventory system on January 1, 2019. The loss prevention manager compared the number of units that were missing from each month's inventory in 2018 with the number of units that were missing from each month's inventory in 2019. The results are provided in the table below. 2018 2019 87 7171 79 75 91 67 78 76 82 68 75 65 88 72 86 75 83 64 77 70 89 73 83 63 What conclusion could be made using the median and interquartile range from the data? The median for 2018 is 83, which is greater than 70.5, the median for 2019. The interquartile range for 2018 is 9, which is greater than the interquartile range for 2019, 8. The median for 2018 is 6969, which is less than 82.5, the median for 2019. The interquartile range for 2018 is 8.5, which is the same as the interquartile range for 2019. The median for 2018 is 83, which is greater than 71, the median for 2019. The interquartile range for 2018 is 16, which is greater…
please answer and explain parts d and e
If Q1 is the value for which 25% of observations are smaller, then A. Only 25% of the observations are greater than Q3 B. Q3 or the upper quartile is the value for which 75% are larger. C. Q1 is also the median D. Q2 is the upper quartile
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Woman Man Women who agree Women who disagree 589 249 311 51 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are the same. O B. Hn: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are different. OC. Ho: The response of…
The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey &8 employees. The number of sick days they took for the past year are as follows: 12; 6; 15; 3; 10; 8; 8; 8. Let X= the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10? Conduct a hypothesis test at the 5% level. What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your answers to three decimal places.)
The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 625 330 Women who disagree 275 70 Compute the test statistic, rounding to three decimal places. Find the critical value(s). (Round to three decimal places) What is the conclusion based on the hypothesis test?
In a population of 150 pea plants, there are 89 tall-purple plants, 25 short-purple plants, 28 tall-white plants, and 8 short-white plants. In order to test if the two traits are experiencing independent assortment researchers would perform a chi squared test. What is your calculated Chi Squared statistic? What is the corresponding P value?
). You are interested in investigating if there a difference in mean cholesterol between the four diet groups. What kind of sample and outcome is this?
Suppose the Land Transportation and Franchising Regulatory Board (LTFRB) wants to examine the safety of Public Utility Vehicles (PUVS)– Jeepneys, Van and Buses. It collects a sample of three for each of the PUVS for analysis. Using the hypothetical data provided below, test whether the mean pressure applied to the driver's head during a crash test is equal for each type of PUVS. Use a =5%. JEEPNEY VAN BUS 643 469 484 655 427 456 702 525 402 Using the data in the previous example, at a = 0.05 level of significance, test the claim that the two populations have equal means.
A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.01 significance level, test the claim that injuries are independent of helmet color. D Black Color of Helmet Yellow 32 Blue White 331 Controls (not injured) Red 159 482 100 Cases (injured or 211 109 8 65 47 killed) Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: Whether a crash occurs and helmet color are dependent H₁: Whether a crash occurs and helmet color are independent OB. Ho: Injuries and helmet color are dependent H₁: Injuries and helmet color are independent OC. Ho: Whether a crash occurs and helmet color are independent H₁: Whether a crash occurs and helmet color are dependent O D. Ho: Injuries and helmet color are independent H₁: Injuries…
15. Research results suggest that IQ scores for boys Plomin, 2006). A typical study looking at 10-year-old are more variable than IQ scores for girls (Arden & size would be reported in a journal article. children classifies participants by gender and by low. average, or high IQ. Following are representing the research results. Do the data indicate a significant difference between the frequency distri- butions for males and females? Test at the .05 level of significance and describe the difference. hypothetical data 1 IQ Low Average High Вoys 18 42 20 80 Girls 12 54 14 80 n = 160 Int Ava
The accompanying table shows results of challenged referee calls in a major tennis tournament. Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned. Was the Challenge to the Call Successful? Yes No Men 246 790 Women 351 550

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