dle ag Illustrations below: a. San mber o 5. pany elop on bis items elihe to eulsv er udhteib m Toute 3 210 1 2 3 Jeadue Figure A amot Figure B ertie Figure A data: elgme2a 27, 33, 39, 45, 51, 57, 63 nigmse lenW.8r Figure B data: -3, -2, -1, 0, 1, 2, 3 ouslugoq bellso els bole pnilgmea yelto8 onilgmee mobreO pnilgmea stoup a e. 3, 6-7. What is the mean? Figure A: Figure B: eilggs 8-9. What is the standard deviation? lol.8 poilgmee 1etaub a Figure A: Figure B:
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.
Step by step
Solved in 3 steps with 4 images
