(1) why does the KC-135 have the largest value for the mean; (2) define mean; (3) define the standard deviation.
Tankers | Tankers | Transport | Bomber | Fighters | Fighters | Fighters | Fighters | Mean | Deviation | ||
Flight Name | KC-135 | KC-10 | C-17 | B-52 | F-15 | F-16 | F-22 | F-35 | |||
Sortie1 | 2.36 | 3.7 | 3.65 | 3.82 | 3.38 | 0.69 | |||||
Sortie 2 | 2.3 | 2.15 | 3.24 | 2.5 | 4.26 | 2.89 | 0.87 | ||||
Sortie 3 | 2.36 | 1.8 | 2 | 2.05 | 0.28 | ||||||
Sortie 4 | 2.45 | 2.12 | 3 | 2.52 | 0.44 | ||||||
Sortie 5 | 2.55 | 2.65 | 2.65 | 2.62 | 0.06 | ||||||
Sortie 6 | 3 | 1.75 | 2.38 | 0.88 | |||||||
Sortie 7 | 3 | 1.75 | 2.38 | 0.88 | |||||||
Sortie 8 | 3 | 2.75 | 1 | 1.1 | 1.25 | 0.98 | 0.75 | 0.65 | 1.44 | 0.91 | |
Sortie 9 | 2.95 | 3.1 | 1.1 | 0.45 | 1.26 | 0.12 | 0.13 | 0.12 | 1.15 | 1.24 | |
Sortie10 | 2.7 | 1.6 | 1.05 | 0.5 | 0.98 | 0.96 | 0.97 | 0.92 | 1.21 | 0.67 | |
Mean | 2.70 | 2.21 | 1.62 | 1.62 | 1.16 | 1.80 | 1.60 | 1.95 | |||
Deviation | 0.29 | 0.56 | 0.68 | 1.10 | 0.16 | 1.57 | 1.44 | 1.93 |
(1) why does the KC-135 have the largest value for the mean; (2) define mean; (3)...
Report the Winner Now that you have all of the data, report the Day 1 Performance Winner and the KC 135 Sortie 11 results. The winner is the aircraft type scoring 1) the highest mean and then 2) the lowest standard deviation in the event of a tiel. Report the winner and the KC 135 Sortie 11 results in a Memorandum of Understanding document. Your document should be a maximum of one page with one inch margins using 11 point...
This discussion introduces you to normal probability via the calculated z-score. A z-score converts a non-standard normal distribution into a standard normal distribution; a standard normal distribution has a mean of zero and standard deviation of one. This discussion introduces you to normal probability via the calculated z-score. A z-score converts a non- standard normal distribution into a standard normal distribution; a standard normal distribution has a mean of zero and standard deviation of one. Additional z-score properties and details...
REGRESSION 2 • reg bught cigs faminc male Source SS df MS = = Model Residual 20477.12 554134.6 3 6825.70666 1,384 400.386272 Number of obs F(3, 1384) Prob > R-squared Adj R-squared Root MSE 1,388 17.05 0.0000 0.0356 0.0335 20.01 - Total 574611.72 1,387 414.283864 bwght Coef. Std. Err. Piti (95Conf. Intervall cigs famine male _cons -.4610457 0913378 .09687980291453 3.113968 1.076396 115.2277 1.20788 -5.050.000 3.32 0.001 2.89 0.004 95.400.000 -.6402212 .0397062 1.002423 112.8582 - 2818702 .1540535 5.225513 117.5972 f) Conduct...
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Gain (V/V) R Setting Totals Averages Sample 1 Sample 2 Sample 3 4 ап 7.8 8.1 7.9 3 5.2 6.0 4.3 = 359.3 i=1 j=1 2 4.4 6.9 3.8 1 2.0 1.7 0.8 This is actual data from one of Joe Tritschler's audio engineering experiments. Use Analysis of Variance (ANOVA) to test the null hypothesis that the treatment means are equal at the a = 0.05 level of significance. Fill in the ANOVA table. Source of Variation Sum of Squares...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...
1. Calculate the mean and standard deviation for each variable using formulas or functions. 2. Calculate descriptive statistics for each variable using the Analysis Toolpak. 3. Calculate the coefficient of variation for each variable. What general interpretation can you make from these values? 4. Calculate the correlation between Revenue and Employees using a formula. Calculate the coefficient of determination. 5. Create a correlation matrix for the eight numerical variables. Note any relationship of interest Rank COMPANY NAME City State Revenue...