A study was conducted to identify the relationship between X and Y among employees ina manufacturing company. The following data obtained in the study from 10 employees inthe company.ParticipantsXYX-M Y-M (X-M)² (X-M)²(X-M)(Y-M)A986B786C572D470E890F675G985H881773J469Based on the data above;a) Compute the r-value of the relationship between training and performance.b) Is the correlation statistically significant? Prove your answer by using a two-tailedtest with 0.05 level of significance.Step 1:Step 2:Step 3:Step 4:Step 5:

Solution-: Let, X=Training and Y=Performance We have following table: Participants X Y A 9 86…

Answered: A study was conducted to identify 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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The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 5.00 4.25 2 12.00 8.75 3 9.25 9.00 4 12.00 11.75 5 17.25 17.00 6 29.50 27.50 7 5.50 6.50 8 6.00 6.75 9 8.00 8.75 10 9.50 10.50 11 9.25 9.50 12 11.00 12.00 13 12.00 12.25 14 14.00 15.50 15 17.00 18.00 16 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use ?d = ?X-ray − ?ultrasound. Round your answers to three decimal places.) , % Interpret the interval in…
An article gave the following data on y = number of employees in fiscal year 2007–2008 and x = total size of parks (in acres) for the 20 state park districts in a state. Number of Employees, y Total Park Size, x 95 39,334 95 324 102 17,315 69 8,244 67 620,231 77 43,501 81 8,625 116 31,572 51 14,276 36 21,095 96 103,289 71 130,023 76 16,068 112 3,286 43 24,089 87 6,309 131 14,502 138 62,595 80 23,666 52 35,832 (a) Construct a scatterplot of the data. A scatterplot has 20 points. The horizontal axis is labeled "x" and ranges from 0 to 700,000.The vertical axis is labeled "y" and ranges from 0 to 150.The points are scattered mostly between approximately 0 and 150,000 on the horizontal axis and between approximately 35 and 140 on the vertical axis. One point is located at approximately (625,000, 65). A scatterplot has 20 points. The horizontal axis is labeled "x" and ranges from 0 to 700,000.The vertical axis is labeled "y" and ranges from 0 to 150.The points are scattered mostly between…
A psychologist at a private mental health facility was asked to determine whether there was a clear difference in the length of stay for patients with different categories of diagnosis. Looking at the last seven patients in each of the three major categories, the results (in terms of weeks of stay) were as follows. Using the data below, test whether the length of stay for patients vary based on category of diagnosis. Diagnosis Category Affective Disorders Cognitive Disorders Drug-related Conditions 7 12 8 6 8 10 5 9 12 6 11 10 9 11 9 5 10 11 6 9 12 The above scenario requires a one-way Anova, with a bar graph. Question - I need to write an explanation for the output given. I am to include a statistical notation and explanation as to whether the results are significant or not significant. Examples of Explanation: Non-significant:A One-Way ANOVA was conducted to examine whether a preceding situation (watching a…
A sociologist is interested in determining if those shopping at the mall tend to spend more money if they are with friends versus if they are shopping alone. She interviews 8 shoppers who regularly shop at the mall, both alone and with friends, and inquires about the following two variables: X1-amount spent when they last shopped alone and X2 amount spent when they last shopped with their friends. Below is the data she collected: Shopper X1 X2 1 35 72 10 15 3 80 100 55 90 35 55 23 58 25 25 138 210 (a) What type of test do we need to conduct and what assumptions are necessary? (b) Assuming our assumptions in (a) are valid, by hand, conduct an appropriate test of significance at 2% level of significance to determine if shoppers spend more money when they are with friends than when they are alone using a rejection region approach.
Aleyla, an educator, would like to investigate whether students’ IQ have an effect on their exam scores. She also wants to determine if teaching strategy is associated with whether students pass or fail in the exam (exam result). She then randomly selected twenty students and conducted an IQ test. Further, she randomly assigned them to the two teaching strategies. The students’ exam scores were recorded. 1. What can you say about the relationship between IQ and exam scores? Coefficient: __ = ___________ There is a _______ _______ _______ relationship between IQ and exam scores. 2. Test at 5% level of significance if exam scores are linearly associated with IQ. Ho: (in symbols) _____ ; (in words) ____________________________________ Ha: (in symbols) _____ ; (in words) ____________________________________ p-value: ___________ Decision: ________________________________ Conclusion: At alpha = 0.05, ________________________________________________________________…
Use excel please
I need help with this problem.
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.t One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $12 $16 $24 13 18 19 15 17 23 17 26 25 18 23 21 20 15 22 17 19 27 24 18 31 Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. O Ho: ralian * lseafood * lsteakhouse H: talian = lSeafood = ASteakhouse O Ho: Not all the…
. A survey was conducted in respect of marital status and success in examination. Out of 2,000 persons who appeared for an examination, 80% of them were boys, and the rest were girls. Among 300 married boys 140 were successful. 1100 boys were successful among unmarried boys. In respect of 100 married girls 40 were successful, 200 unmarried girls were successful. Construct two separate nine-square tables, and find out the Yule's Coefficient of Association to discuss the association between marita! and passing of examination,
The table shows data about student involvement in extracurricular activities at a local high school. Extracurricular Activities Involved in Not Involved in Activities Activities Totals Male 112 145 257 Female 139 120 259 Totals 251 265 516 P(femalel involved in activities)? 265 516 139 251 251 516 139 516
Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable
Education Influences attitude and festyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n, = 37 U.S. cities. The sample mean for these cities showed that x, 25.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in a,- 32 U.S. attes. The sample mean for these aties showed that x, = 19.6% of the young adults had attended college. From previous studies, t is known that o, - 6.H% and o, 5.6%. Does this Information Indicate that the population mean percentage of young adults who attended college Is higher? Use a = D.05. (a) what is the level of signifcance? state the null and altemate hypotheses. O Hai H, = Hi H H, H O H, H,

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