**Please who by hand. 6) Wages of Workers Without High School Diploma. SmartAsset reports that average weekly earnings for workers who have not received a high school diploma is $493 in 2018. Suppose you would like to determine if the average weekly earnings for workers who have received a high school diploma is significantly greater than average weekly earnings. For workers who have not received a high school diploma. Data providing the weekly pay for a sample of 50 workers who have received a high school diploma are available in the file WeeklyHSGradPay. These data are consistent with the findings reported by SmartAsset. State the hypotheses that should be used to test whether the mean weekly pay for workers who have received a high school diploma is significantly greater than the mean weekly pay for workers who have not received a high school diploma. Use the data in the file WeeklyHSGradPay to compute the sample mean, the test statistic, and the p-value. Repeat the hypothesis test using the critical value approach. Weekly Earnings 687.73 543.15 789.45 442.26 684.85 661.43 478.30 629.62 486.95 786.47 652.15 652.82 669.81 641.13 577.24 845.68 541.59 553.36 743.25 468.61 821.71 757.82 657.34 506.95 744.93 553.20 827.92 663.85 685.90 637.25 530.54 515.85 588.77 506.62 720.84 503.01 583.18 7980.24 465.55 593.12 605.33 701.56 491.86 763.40 711.19 631.73 605.89 828.37 477.81 703.06
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
**Please who by hand.
6) Wages of Workers Without High School Diploma. SmartAsset reports that average weekly earnings for workers who have not received a high school diploma is $493 in 2018. Suppose you would like to determine if the average weekly earnings for workers who have received a high school diploma is significantly greater than average weekly earnings. For workers who have not received a high school diploma. Data providing the weekly pay for a sample of 50 workers who have received a high school diploma are available in the file WeeklyHSGradPay. These data are consistent with the findings reported by SmartAsset.
- State the hypotheses that should be used to test whether the mean weekly pay for workers who have received a high school diploma is significantly greater than the mean weekly pay for workers who have not received a high school diploma.
- Use the data in the file WeeklyHSGradPay to compute the sample mean, the test statistic, and the p-value.
- Repeat the hypothesis test using the critical value approach.
| Weekly Earnings |
| 687.73 |
| 543.15 |
| 789.45 |
| 442.26 |
| 684.85 |
| 661.43 |
| 478.30 |
| 629.62 |
| 486.95 |
| 786.47 |
| 652.15 |
| 652.82 |
| 669.81 |
| 641.13 |
| 577.24 |
| 845.68 |
| 541.59 |
| 553.36 |
| 743.25 |
| 468.61 |
| 821.71 |
| 757.82 |
| 657.34 |
| 506.95 |
| 744.93 |
| 553.20 |
| 827.92 |
| 663.85 |
| 685.90 |
| 637.25 |
| 530.54 |
| 515.85 |
| 588.77 |
| 506.62 |
| 720.84 |
| 503.01 |
| 583.18 |
| 7980.24 |
| 465.55 |
| 593.12 |
| 605.33 |
| 701.56 |
| 491.86 |
| 763.40 |
| 711.19 |
| 631.73 |
| 605.89 |
| 828.37 |
| 477.81 |
| 703.06 |
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