Year Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total Year Qtr Planes 2009 310 408 390 477 1,585 2009 Qtr1 310 2010 243 377 281 433 1,334 Qtr2 408 2011 268 289 286 480 1,323 Qtr3 390 2012 305 358 339 514 1,516 Qtr4 477 2013 329 413 353 520 1,615 2010 Qtr1 243 2014 345 380 379 527 1,631 Qtr2 377 2015 296 374 378 544 1,592 Qtr3 281 Qtr4 433 2011 Qtr1 268 Qtr2 289 Qtr3 286 Qtr4 480 2012 Qtr1 305 Qtr2 358 Qtr3 339 Qtr4 514 2013 Qtr1 329 Qtr2 413 Qtr3 353 Qtr4 520 2014 Qtr1 345 Qtr2 380 Qtr3 379 Qtr4 527 2015 Qtr1 296 Qtr2 374 Qtr3 378 Qtr4 544 (c) Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. (Round your answers to 3 decimal places.) Qtr1Index Qtr2Index Qtr3Index Qtr4Index Not attempted Not attempted Not attempted Not attempted
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.
Year | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total | Year | Qtr | Planes | ||
2009 | 310 | 408 | 390 | 477 | 1,585 | 2009 | Qtr1 | 310 | ||
2010 | 243 | 377 | 281 | 433 | 1,334 | Qtr2 | 408 | |||
2011 | 268 | 289 | 286 | 480 | 1,323 | Qtr3 | 390 | |||
2012 | 305 | 358 | 339 | 514 | 1,516 | Qtr4 | 477 | |||
2013 | 329 | 413 | 353 | 520 | 1,615 | 2010 | Qtr1 | 243 | ||
2014 | 345 | 380 | 379 | 527 | 1,631 | Qtr2 | 377 | |||
2015 | 296 | 374 | 378 | 544 | 1,592 | Qtr3 | 281 | |||
Qtr4 | 433 | |||||||||
2011 | Qtr1 | 268 | ||||||||
Qtr2 | 289 | |||||||||
Qtr3 | 286 | |||||||||
Qtr4 | 480 | |||||||||
2012 | Qtr1 | 305 | ||||||||
Qtr2 | 358 | |||||||||
Qtr3 | 339 | |||||||||
Qtr4 | 514 | |||||||||
2013 | Qtr1 | 329 | ||||||||
Qtr2 | 413 | |||||||||
Qtr3 | 353 | |||||||||
Qtr4 | 520 | |||||||||
2014 | Qtr1 | 345 | ||||||||
Qtr2 | 380 | |||||||||
Qtr3 | 379 | |||||||||
Qtr4 | 527 | |||||||||
2015 | Qtr1 | 296 | ||||||||
Qtr2 | 374 | |||||||||
Qtr3 | 378 | |||||||||
Qtr4 | 544 |
(c) Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. (Round your answers to 3 decimal places.)
Qtr1 Index |
Qtr2 Index |
Qtr3 Index |
Qtr4 Index |
|||||||||||
Not attempted | Not attempted | Not attempted | Not attempted | |||||||||||
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