Average Wage Index Employment Cost Index X Y 41,673.83 129,799.00 42,979.61 &n
| Average Wage Index | Employment Cost Index |
| X | Y |
| 41,673.83 | 129,799.00 |
| 42,979.61 | 130,878.00 |
| 44,321.67 | 133,272.00 |
| 40,711.61 | 134,055.00 |
| 44,888.16 | 135,282.00 |
| 40,405.48 | 137,497.00 |
| 46,481.52 | 137,550.00 |
| 41,334.97 | 138,419.00 |
| 48,098.63 | 140,592.00 |
| 48,642.15 | 143,196.00 |
Find the-
A. Variance
B. Standard Deviation
C. Find the Frequency and percentage Distribution between 3 and 5 classes for each set of data
D. Construct a 95% confidence interval (for each set of data) using the sample mean, sample size, and the proper standard error (do not use the standard error given in excel data analysis)
E. Conduct a regression hypothesis to see if there is a relationship between two or more data sets. Showing all 5 steps of the hypothesis test.
Homework Answers
Add Answer to:
Average Wage Index
Employment Cost Index
X
Y
41,673.83
129,799.00
42,979.61
&n
Consider the following Excel outout for a regression model where Y = GDP, X, employment and...
Consider the following Excel outout for a regression model where Y = GDP, X, employment and Xx = fixed capital Sample size = 20 observations Intercept Standard Error 34370.0541 5.8749 0.0962 Coefficients 59450 2848 12.3387 0.4346 Pour 0.1064 Star 17049 2.1003 Lower 95% -133019.7674 -0.0562 Upper 95% 14118.9979 2 4.7336 00003 Model 1: Y = Bo+B.X1+B2X:+8 Based on the value of statistic, determine whether you should reject or not to reject the null hypothesis of two failed test). Make decision...
3. The following table containsthewagesand genderfor6ermployees at cormpany X. wage female name Claire Matt Bruce Susan...
3. The following table containsthewagesand genderfor6ermployees at cormpany X. wage female name Claire Matt Bruce Susan Tom Jennifer 14 10 18 18 a) b) Compute the sample mean, variance and standard deviation of wages. Express the following statements as a null hypothesis: i. The mean wage at company X equals $9 ii. The mean wage at company X is greater than $13 iii. Mean wages for men and women are the same at company X c) i. ii. ii. Test...
Question 1 Question Type 1 The following data sets each contain 3 random observations of two variables. For each data set, answer the following questions: Question (a) The data below is a random samp...
Question 1
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2. Using data from 2013 on 64 black females, the estimated linear regression between WAGE (earnings...
2. Using data from 2013 on 64 black females, the estimated linear regression between WAGE (earnings per hour, in S) and years of education, EDUC is WAGE8.451.99EDUC The standard error of the estimated slope coefficient is 0.52. Construct and interpret a 95% interval estimate for the effect of an additional year of education on a black female's expected hourly wage rate a. b. The standard error of the estimated intercept is 7.39. Test the null hypothesis that the intercept A-0...
Missed Classes Final Grade 4 75 6 80 1 91 4 71 0 95 2 83...
Missed Classes Final Grade
4 75
6 80
1 91
4 71
0 95
2 83
0 91
5 86
2 96
Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table...
simple random sampling question : Employment of Small Establishments In the 1958 Greek census of non-agricultural establishments 493 small establishments were listed in a section of Athens. A simple r...
simple random sampling question : Employment of Small Establishments In the 1958 Greek census of non-agricultural establishments 493 small establishments were listed in a section of Athens. A simple random sample of 30 establishments gives the following data on employment y . 2, 2,2 ,2 ,3, 5, 2,3 ,4, 5, 2, 4, 2, 6, 6, 7,5, 4, 5, 3, 2, 2, 2, 2, 5, 2, 2, 2, 2, 2. 1. Estimate the average number of employees per establishment. 2. Estimate...
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Consider the relationship between hourly wage rate and education attainment. A random sample of 21 male...
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Consider the following Excel outout for a regression model where Y = GDP, X, employment and Xx = fixed capital Sample size = 20 observations Intercept Standard Error 34370.0541 5.8749 0.0962 Coefficients 59450 2848 12.3387 0.4346 Pour 0.1064 Star 17049 2.1003 Lower 95% -133019.7674 -0.0562 Upper 95% 14118.9979 2 4.7336 00003 Model 1: Y = Bo+B.X1+B2X:+8 Based on the value of statistic, determine whether you should reject or not to reject the null hypothesis of two failed test). Make decision...
3. The following table containsthewagesand genderfor6ermployees at cormpany X. wage female name Claire Matt Bruce Susan Tom Jennifer 14 10 18 18 a) b) Compute the sample mean, variance and standard deviation of wages. Express the following statements as a null hypothesis: i. The mean wage at company X equals $9 ii. The mean wage at company X is greater than $13 iii. Mean wages for men and women are the same at company X c) i. ii. ii. Test...
Question 1
Question Type 1 The following data sets each contain 3 random observations of two variables. For each data set, answer the following questions: Question (a) The data below is a random sample of 3 observations drawn from the United States population. Use the data to answer the following questions i. Find 95% confidence intervals of the population mean of experience and wage ii. Estimate pe,w, the correlation between the variables experience and wage. iii. Find Bı and Po,...
2. Using data from 2013 on 64 black females, the estimated linear regression between WAGE (earnings per hour, in S) and years of education, EDUC is WAGE8.451.99EDUC The standard error of the estimated slope coefficient is 0.52. Construct and interpret a 95% interval estimate for the effect of an additional year of education on a black female's expected hourly wage rate a. b. The standard error of the estimated intercept is 7.39. Test the null hypothesis that the intercept A-0...
Missed Classes Final Grade
4 75
6 80
1 91
4 71
0 95
2 83
0 91
5 86
2 96
Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table...
2. Exercises: 5.2, part (a), (b), (c), (d) and (e) 5.2 Suppose a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the OLS regression www Wage - 12.52 + 2.12 Male, R? = 0.06, SER = 4.2, (0.23) (0.36) www. where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is a male and if the person is a female. Define...
Consider the relationship between hourly wage rate and education attainment. A random sample of 21 male workers was collected to estimate the following model Y; = Bo + B1X; + uj, for i = 1,..., 21. Here, Y; is the logarithm of hourly wage rate, log(wage), for the i-th worker. Xi is the education level, husedu, of the i-th worker, which is measured as the years of schooling, and uị is the error term for the i-th worker. The ordinary...
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