From the previous step, we have found the following summations.ΣΣ'ΣX = 5805= 560= 5,621,655Ey2 = 61,492xy = 535,058We calculate the sample correlation coefficient r using the computation formula and the above summation values. Note that thenumber of sample points is n = 6. Round the final answer to four decimal places.r =6(535,058) – (5805)(560)(5805) ) (V6( E61,492(560)²--40,452* (V(V55,352)SubmitSkip (you cannot come back)Need Help?Read It

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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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Write the formula for the sample mean, X, for ŉ data points. Write the formula for the sample variance, S², for n data points.
7. 40% of consumers believe that cash will be obsolete in the next 20 years based on a survey by J.P. Morgan Chase. Eight consumers are randomly selected and the number who believe cash will be obsolete is recorded. X 0 1 2 3 4 5 6 7 8 P(x) 0.017 0.090 0.209 0.124 0.041 0.008 0.001 Fill in the missing values from the table and identify each of the following characteristics used to construct the distribution: n= p= Discuss the three characteristics of the distribution. Shape: Center: Spread: Find the probability that exactly 4 people believe that cash will be obsolete. Find the probability that between 3 and 7 people believe that cash will be obsolete. Find the probability that at most 3 people believe that cash will be obsolete. x=
In the book Business Research Methods (5th ed.). Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not. The sample results are given in the following table. On-the-Job No 7 Smoker Heavy Moderate Nonsmoker 16 Column total 34 Heavy Moderate Yes Nonsmoker Total 12 6 Expected counts are below observed counts No Accident Total 19 7 9.21 9 Row 1 Row 2 Row 3 Column 1 Column 2 16 32 Accident 12 9.79 6 Accident Row Total 7.27 16 15.52 32 7.73 16…
7h. A travel association reported the domestic airfare (in dollars) for business travel for the current year and the previous year. Below is a sample of 12 flights with their domestic airfares shown for both years. CurrentYear PreviousYear 345 315 526 451 420 450 216 206 285 263 405 432 635 585 710 650 605 545 517 547 570 496 610 580 Calculate the test statistic. (Use current year airfare − previous year airfare. Round your answer to three decimal places.) Calculate the p-value. (Round your answer to four decimal places.) p-value =
I need assistance with D and E Only. Given the sample data. x: 23, 17, 15, 32, 27 (a) Find the range. (Enter an exact number.) (b) Verify that Σx = 114 and Σx2 = 2,796. (For each answer, enter an exact number.)Σx = Σx2 = (c) Use the results of part (b) and appropriate computation formulas to compute the sample variance s2 and sample standard deviation s. (For each answer, enter a number. Round your answers to two decimal places.)s2 = s = (d) Use the defining formulas to compute the sample variance s2 and sample standard deviation s. (For each answer, enter a number. Round your answers to two decimal places.)s2 = s = (e) Suppose the given data comprise the entire population of all x values. Compute the population variance σ2 and population standard deviation σ. (For each answer, enter a number. Round your answers to two decimal places.)σ2 = σ =
The data shown to the right are from independent simple random samples from three populations. Use these data to complete parts (a) through (d). Sample 1| Sample 2| Sample 30 E Click the icon to view a table of values of Fa- 4 5 2 6 14 a. Compute ST, SSTR, and SE using the following computing formulas, where x, is the ith observation, n is the total number of observations, n; is the sample size for population j, and T; is the sum of the sample data from population j. SST = Ex? - (Ex)? /n, SSTR= E(T? /n) - (Ex)? /n, and SSE = SST-SSTR Compute the values required to find SST, SSTR, and SSE. n= Ex = Ex = E(T; /n) = (Type integers or decimals. Do not round.) Calculate SST, SSTR, and SSE using the computing formulas. SST = (Type an integer or a decimal. Do not round.) SSTR= (Type an integer or a decimal. Do not round.) SSE = (Type an integer or a decimal. Do not round.) b. Compare your results in part (a) for SSTR and SSE with the following results from the defining formulas. SSTR = En (x…
First find the MAD for each pair of values, a and ß. Coal Production (thousands of tons) 434,330 Year 1. 420.427 3. 439,044 4 477 200 504.182 526.949 7. 546,822 564.884 556,711 8 10 570,975 The total number of thousands of tons of coal produced per year over a 10-year period for a certain region is provided in the accompanying dataset. Use double exponential smoothing to determine which pairs of values for a and B minimize MAD for this dataset a=0.1, p=0.8, a = 0.4. B 0 2; a=0.9, = 0.6 Click the icon to view the coal production data
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