Min Wage Per State | Descriptive Statistics |
Mean | 8.94 |
Standard Error | 0.24 |
Median | 8.60 |
Mode | 7.25 |
Standard Deviation | 1.69 |
Sample Variance | 2.85 |
Kurtosis | -0.28 |
Skewness | 0.68 |
Range | 6.50 |
Minimum | 7.25 |
Maximum | 13.75 |
Sum | 437.95 |
Count | 49.00 |
Mininum Wage Per State |
9.89 |
11 |
9.25 |
11 |
11.1 |
10.1 |
8.75 |
13.75 |
8.46 |
7.25 |
10.1 |
7.25 |
8.25 |
7.25 |
7.25 |
7.25 |
7.25 |
7.25 |
11 |
10.1 |
12 |
9.45 |
9.86 |
9.45 |
8.6 |
8.6 |
9 |
8.25 |
7.25 |
8.85 |
7.5 |
11.1 |
7.25 |
7.25 |
8.55 |
7.25 |
10.75 |
7.25 |
10.5 |
7.25 |
9.1 |
7.25 |
7.25 |
7.25 |
10.78 |
10.5 |
12 |
9.75 |
7.25 |
7.25 |
For the other set of quantitative data, use sample mean and sample standard deviation (from Project 2 or find again), a...
Find the sample mean and sample standard deviation of your data. What is the Z score? Pick three bills from the last 12 months and change the values into z-scores. What does the z-score tell you about that particular month? Between what two values would be considered a normal bill? Remember, being within 2 Standard Deviations is considered normal. Are any of your bills in the last 12 months unusual? Very unusual? Are there times when you would accept an...
1) Find the percentage of data within 2 sample standard deviations from the mean: (12,14,67,46,35,84,67,85,93,104 2) Find the sample mean and the sample standard deviation, and determine the skew of the data set: 01112355689 1133466899 2122556788999 3133888 3) An extreme outlier is defined to be any value outside of 3 standard deviations from the mean. Does the following data have any extreme outliers? (4,33,45,75,27,66,101,151,133,279) 4) Suppose that a data set has the following 5-number summary: min 0, Qi 5, Med=5,Q3=5,max...