estion 4 of 16The number of text messages sent and the number of phone calls made in a sample of 100 studentsIdentify the explanatory variable and the response variable, if possibleO Either variable could be the explanatory variable because cach one could be used to predict or explain the other.O Explanatory variable: students; response variable: number of phone calls madeO Explanatory variable: number of phone calls; response variable: number of text messagesO Explanatory variable: number of text messages; response variable: number of phone callsO Explanatory variable: students: response variable: number of text messagesDELL

Answered: Image /qna-images/answer/eed4406b-76b5-40f6-80aa-e2a03dc7f38e.jpg

Answered: The number of text messages sent and…

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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Five students taking a Business Statistics module at MANCOSA were asked to provide an example of a variable they have encountered in their day-to-day life. Their responses are as follows: Student Variable Lungani Nsika Thembekile Mduduzi The body temperature of a patient diagnosed with COVID-19 The price of a technology company stock on the NASDAQ The age of his bull mastiff The number of female students in Mduduzi's Python class Which student provided a variable which does not have a true zero? A. Nsika B. Lingani and Nsika C. Thembekile and Mduduzi D. Lungani
What is the alternative hypothesis for this research question? Group of answer choices There is no difference in mean job satisfaction across the three height groups. Mean job satisfaction will differ between at least two of the height groups. The mean job satisfaction for tall people is higher than the mean job satisfaction for short people. The mean of one group will differ from the average job satisfaction of the population.
UOmpaly s warehouse. The large Collèction of bottles is referred to as the 1] population. [2] sample unit. [3] variable. 14) sample. Question 9 A sample of 5000 Johannesburg households is selected and several variables are recorded. Choose the statement that is correct. The variable [1] socio-economic status (recorded as low, middle or high), produces discrete quantitative data. [2] number of people living in a household, produces discrete qualitative data. (3] weights of the occupants of the households, produces continuous quantitative data. [4] primary language spoken, produces discrete quantitative data. 4
Twenty samples of students from the first year were taken for the study related to fitness level in a university. The researcher has collected the data for a few variables: gender and fitness test score. Fitness Camp No Gender Fitness score Fitness score (Before Attend camp) (After Attend camp) 1 M 444 526 2 F 780 862 3 F 475 557 4 F 490 572 5 M 755 837 6. M 766 848 7 F 540 622 8 M 623 705 9. F 600 682 10 620 702 11 505 590 12 M 640 725 13 F 523 608 14 F 700 785 15 M 710 795 16 M 726 811 17 M 740 825 18 F 550 635 19 F 685 770 20 F 460 545 Range of Fitness Score: 0 to 900 1. Determine whether this set of data is sample or population? Why? Which formulae to be used when calculating the standard deviation of fitness score before and after camp 2. Calculate the standard deviation for fitness score before and after students attended the fitness camp for the whole samples using the formula in (1) 3. Based on the sample standard deviation in part (2), explain whether the fitness camp can…
A statistical program is recommended. You may need to use this table to answer this question. A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. Some of the independent variables that were included in this study follow. Industry Public Quality Finished 62 45 A sample of 40 companies provided the following data. 54 Delay Industry Public Quality 71 91 62 61 2 69 80 52 47 65 60 81 73 89 71 76 68 68 86 76 67 57 55 54 69 82 94 74 75 69 71 79 80 91 92 46 A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. 72 A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0. 85 A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1)…
I UNDERSTAND 2,3,4 BUT I DON'T GET NUMBER 1 QUESTION? Thread prompt: An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)?
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