Use the table below for questions 1a-c: 13 , 43 , 1 , 20 , 25...
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Consider the following sample data values. 3 17 1 19 13 8 18 11 a) Calculate...
Consider the following sample data values. 3 17 1 19 13 8 18 11 a) Calculate the range b) Calculate the sample variance. c) Calculate the sample standard deviation. a) The range is 18 b) The sample variance is (Round to two decimal places as needed.)
n du Consider the data set below: 22 12 21 22 S = 19 45 20...
n du Consider the data set below: 22 12 21 22 S = 19 45 20 30 37 34 44 23 26 33 70 54 40 48 23 17 22 56 38 17 21 16 33 41 84 43 27 65 34 19 100 34 48 29 54 16 43 33 8934 43 31 37 77 43 43 Problem 1 (a) Make a stem and leaf display of S. (b) Calculate the mean I = 2 (c) Calculate the 10%-trimmed...
and the standard deviation, s, of sample data summarized in the frequency distribution table given below...
and the standard deviation, s, of sample data summarized in the frequency distribution table given below by using the formula below, where represents the class midpoint, frepresents the class frequency, and n represents the total number of sample values. Also, compare the omputed standard deviation to the standard deviation obtained from the original list of data values, 9.0. [(1•x?)] - [>«*-x)] n(n-1) Interval 30-36 37-43 44-50 51-57 58-64 65-71 Frequency 5 19 45 25 5 Sa 1 tandard deviation =...
Descriptive Statistics Table 13 N Range Minimum Maximum Mean Std. Deviation Variance IQ 20 25 15 40 26.85 7.700 59.292 Driving Test Score 20 18 2 20...
Descriptive Statistics Table 13 N Range Minimum Maximum Mean Std. Deviation Variance IQ 20 25 15 40 26.85 7.700 59.292 Driving Test Score 20 18 2 20 10.45 5.453 29.734 age 20 6 19 25 21.05 1.820 3.313 Valid N (listwise) 20 Please show work so that I can follow along 13. Discuss what Table 13 indicates. (10 points)
Below are numerical and graphical summaries of Price. Use these to complete Questions 7 and 8....
Below are numerical and graphical summaries of Price. Use these to complete Questions 7 and 8. Descriptives Statistic Std. Error price Mean 80.7500 4.98105 95% Confidence Interval Lower Bound 70.8355 for Mean Upper Bound 90.6645 Median 73.9750 Variance 1984.867 Std. Deviation 44.55184 Minimum 9.99 Maximum 249.00 Range 239.01 Interquartile Range 47.29 Frequency 25 50 75 175 200 225 250 100 125 150 price 7. Consider the variable Price. A. Complete the table below. Mean Median Standard deviation Sample size B....
Given the listed data: 23, 17, 15, 30, 25 a. Find the range b. Use the...
Given the listed data: 23, 17, 15, 30, 25 a. Find the range b. Use the appropriate computation formulas to compute the sample mean, the sum of squares, the sample variance and the sample standard deviation . c. Suppose the given data comprise the entire population. Compute the population variance and population standard deviation .
Please help me solve 43-45 43. Use the regression equation below to predict the profits for...
Please help me solve 43-45
43. Use the regression equation below to predict the profits for the restaurant when the population size is 14.8 thousand people. (Plug in 14.8 for X in the equation and calculate Y) Regression Line: Y--30.3091+6.0211 X 44. (True or False?) This correlation study proves that more people in a city will cause the restaurant profits to increase (True or False?) It will be fine to use the regression equation to predict the profits for the...
13. Chi-square: Which of the following values is significant at the .05 level? X2(10)=15.43 X2(8)=12.20 X2(5)=11.12...
13. Chi-square: Which of the following values is significant at the .05 level? X2(10)=15.43 X2(8)=12.20 X2(5)=11.12 X2(2)=4.23 14. Calculate Test Statistics By Hand Mean, Median, Mode, Standard Deviation, Variance & Range (use data in the table below) Athletes’’ weight (lbs) 144 165 210 177 165 182 150 170 190 205 Mean: Median: Mode: Standard deviation: Variance: Range:
4 The data below shows the number of manufacturing plants in the UK arranged according to...
4 The data below shows the number of manufacturing plants in the UK arranged according to employment Number of Number of firms, f Cumulative frequency employees l0x 20 20(x<=50 50-x( 100 1 00<x< 200 200x 500 500x 1000 95409 15961 16688 7229 4504 2950 796 334 143871 95409 111370 128058 135287 139791 142741 143537 143871 Total a) From simply scanning the information, would you say the dataset was skewed a little'a lor? skewed to the left or skewed to the...
i provided the formulas 1. Relevant formulas for this test are listed below. 1. Mean -...
i provided the formulas
1. Relevant formulas for this test are listed below. 1. Mean - (EX) N 2. Range - max-min 3. Variance = $$ (for a population) or (for a sample) 4. Standard deviation - Vo? (for a population) or 2 (for a sample) SS or DF SS N-1 Use this data set to answer questions 1 through 5 (N = 11). X F 13 2. 15 1 17 4 18 2 19 2 Question 1 What is...
Consider the following sample data values. 3 17 1 19 13 8 18 11 a) Calculate the range b) Calculate the sample variance. c) Calculate the sample standard deviation. a) The range is 18 b) The sample variance is (Round to two decimal places as needed.)
n du Consider the data set below: 22 12 21 22 S = 19 45 20 30 37 34 44 23 26 33 70 54 40 48 23 17 22 56 38 17 21 16 33 41 84 43 27 65 34 19 100 34 48 29 54 16 43 33 8934 43 31 37 77 43 43 Problem 1 (a) Make a stem and leaf display of S. (b) Calculate the mean I = 2 (c) Calculate the 10%-trimmed...
and the standard deviation, s, of sample data summarized in the frequency distribution table given below by using the formula below, where represents the class midpoint, frepresents the class frequency, and n represents the total number of sample values. Also, compare the omputed standard deviation to the standard deviation obtained from the original list of data values, 9.0. [(1•x?)] - [>«*-x)] n(n-1) Interval 30-36 37-43 44-50 51-57 58-64 65-71 Frequency 5 19 45 25 5 Sa 1 tandard deviation =...
Below are numerical and graphical summaries of Price. Use these to complete Questions 7 and 8. Descriptives Statistic Std. Error price Mean 80.7500 4.98105 95% Confidence Interval Lower Bound 70.8355 for Mean Upper Bound 90.6645 Median 73.9750 Variance 1984.867 Std. Deviation 44.55184 Minimum 9.99 Maximum 249.00 Range 239.01 Interquartile Range 47.29 Frequency 25 50 75 175 200 225 250 100 125 150 price 7. Consider the variable Price. A. Complete the table below. Mean Median Standard deviation Sample size B....
Please help me solve 43-45
43. Use the regression equation below to predict the profits for the restaurant when the population size is 14.8 thousand people. (Plug in 14.8 for X in the equation and calculate Y) Regression Line: Y--30.3091+6.0211 X 44. (True or False?) This correlation study proves that more people in a city will cause the restaurant profits to increase (True or False?) It will be fine to use the regression equation to predict the profits for the...
4 The data below shows the number of manufacturing plants in the UK arranged according to employment Number of Number of firms, f Cumulative frequency employees l0x 20 20(x<=50 50-x( 100 1 00<x< 200 200x 500 500x 1000 95409 15961 16688 7229 4504 2950 796 334 143871 95409 111370 128058 135287 139791 142741 143537 143871 Total a) From simply scanning the information, would you say the dataset was skewed a little'a lor? skewed to the left or skewed to the...
i provided the formulas
1. Relevant formulas for this test are listed below. 1. Mean - (EX) N 2. Range - max-min 3. Variance = $$ (for a population) or (for a sample) 4. Standard deviation - Vo? (for a population) or 2 (for a sample) SS or DF SS N-1 Use this data set to answer questions 1 through 5 (N = 11). X F 13 2. 15 1 17 4 18 2 19 2 Question 1 What is...
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