SalesAccountsMarketing RepairsTotal20-291027438817.74***26.2023.6230-392926382223.1826.7234.2430.8640-493332728221944.1550.8865.2058.7750-5981106865432765.9275.9797.3687.75Total151**223201749Chi-Sg =5.348 +**** +0.024 + 15.912 +1.459 +0.019 +0.413 +2.544 +2.816 +7.003 +0.709 +9.182 +3.448 + 11.875 +1.325 + 12.983 = 80.395DF = *****, P-Value =No cells with expected counts less than 5.******d) What is the assumption on which these calculations are based?e) What is relevance of the statement" No cells with expected counts less than 5."f) Do the records suggest a relationship or independence between age anddepartment for the employees of this car dealership at the 5% significance level?

d) Assumptions for Chi-square test: Sample drawn from the normal population. The categories of the…

Answered: Sales Accounts Marketing Repairs Total…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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1162,1116,1283,1277,1364,1322,1297,1206,1135,1316,1076,1172,1316,1212,1339,1199,1252,1125,1314,1306,1209 Price of Laptop Computers (in Dollars) Class Frequency Relative Frequency Cumulative Frequency 1073–1122 1123–1172 1173–1222 1223–1272 1273–1322 1323–1372 Step 1 of 4 : Determine the class width of the classes listed in the frequency table.
Number of ChildrenTable 1 shows the number of women (per 1000) between 15 and 50 years of age who have been married grouped by the number of children they have had. Table 2 gives the same information for women who have never been married.1 Number of Children Women per 1000 0 162 1 213 2 344 3 182 4 69 5+ 32 Table 1 Women who have been married Number of Children Women per 1000 0 752 1 117 2 72 3 35 4 15 5+ 10 Table 2 Women who have never been married 1http://www.census.gov/hhes/fertility/data/cps/2014.html, Table 1, June 2014. Condition gt requires numbers instead of "null" and "0" (a) Without doing any calculations, which of the two samples appears to have the highest mean number of children? Women who have been marriedWomen who have never been married Which of the distributions appears to have the mean most different from the median? Women who have been marriedWomen who have never been married…
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
ID Old Score New Score 1 81 82 2 72 72 3 77 74 4 74 72 5 78 78 6 77 72 7 83 84 8 90 86 9 70 69 10 70 72 11 72 69 12 71 69 13 71 67 14 71 64 15 71 68 16 71 69 17 71 71 18 71 69 19 71 72 20 71 70 21 71 71 22 71 71 23 72 70 24 72 69 25 72 72 26 72 73 27 72 74 28 72 69 29 72 73 30 72 69 31 73 71 32 73 74 33 73 72 34 73 75 35 73 73 36 73 69 37 73 72 38 74 67 39 74 68 40 74 75 41 74 74 42 74 75 43 74 74 44 74 68 45 74 70 46 75 70 47 75 72 48 75 70 49 75 69 50 75 74 51 75 71 52 75 71 53 75 71 54 75 71 55 75 69 56 76 75 57 76 70 58 76 70 59 76 78 60 76 72 61 77 78 62 77 73 63 77 74 64 77 78 65 78 78 66 78 71 67 78 72 68 79 72 69 79 76 70 79 77 71 79 77 72 80 82 73 80 74 74 81 81 75 82 82 Question 13 with the data set above.
1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the correlation coefficient is R and not R2) Principals x Teachers y 77.8 43.7 78.4 43.8 80.8 45.0 80.5 45.6 R=0.997497 81.5 45.9 2. Does the R value represent a positive, negative or no correlation between the salaries of the teachers and principals? As teacher salaries increase, what happens to 84.8 48.2 87.7 49.3 prinicipal salaries? 91.6 51.3 93.6 52.9 3. Write the equation of the regression line for the data below. The equation is y= 95.7 54.4 95.7 54.2 4. Use the regression equation that you found in exercise #3 to predict the average annual salary of public school classroom teachers when the average annual salary of public school principals is $139,723. Show your work in the cells to the right. (Be careful when entering the x-value in the equation. The table shows numbers that have been adjusted in terms of the thousands. Example: if the salary…
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = Find the interquartile range for this data set. IQR = = Find the lower fence separating outliers from usual values. Fence Low Find the upper fence separating outliers from usual values. Fence high
The table below shows the number of individuals infected with a disease t days after its first detected by the CDC. Days Infected Individuals 1 2 678 722 3 756 4 825 5 7 6 882 945 1017 8 1104
Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.
2. Suppose you wishes to conduct a study on the flavor acceptability of luncheon meat from commercial, milkfish bone meal, and goatfish bone meal. Commercial luncheon meal is the control group while milkfish bone meal and goat fish bone meal luncheon meat are experimental groups. a. Calculate the mean score of the acceptability of the different luncheon meat b. Calculate the significant differences on the flavor acceptability of luncheon meat from commercial, milkfish bone meal and goat fish bone meal. c. Interpret the result of your analysis. Panelists 1 2 3 4 5 6 7 8 9 10 11 12 Commercial 8 8 7 7 8 8 8 7 9 8 000 9 8 Luncheon Meat Milkfish Bone Meal 8 9 8 8 9 8 9 9 9 8 9 9 Goatfish Bone Meal 7 7 6 6 8 7 7 6 8 7 7 7 Total 23 24 21 21 25 23 24 22 26 23 25 24
First Die 4 6. 1 3 4 6. 7 3 4 5. 6. 7. 8. 4 5. 6. 7 8. 9. 4 6. 7. 8. 9. 10 5 6. 8 6. 10 11 8. 9. 10 11 12 419 t in 47 Second Die

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Sales Accounts Marketing Repairs Total 10 17.74 20-29 27 43 88 23.62 *** 26.20 30-39 29 26 38 22 23.18 26.72 34.24 30.86 40-49 33 32 72 82 219 44.15 50.88 65.20 58.77 50-59 81 106 86 54 327 65.92 75.97 97.36 ר. 87 Total 151 223 201 749 **

Sales Accounts Marketing Repairs Total 10 17.74 20-29 27 43 88 23.62 * 26.20 30-39 29 26 38 22 23.18 26.72 34.24 30.86 40-49 33 32 72 82 219 44.15 50.88 65.20 58.77 50-59 81 106 86 54 327 65.92 75.97 97.36 ר. 87 Total 151 223 201 749