Create a vector with 100,000 elements of random numbers uniformly distributed between 0 and 1. Calculate its histogram with 1000 bins. Then calculate the histogram of the histogram with 20 bins. What does the histogram of the histogram look like? Do it several times. Select one: a. It is just a jagged line resembling nothing. b. It is conceptually similar to the burger square from that Simpsons episode so it looks like a burger. c. Looks like a uniform distribution d. Looks roughly like a bell curve. e. It is a perfectly straight line.
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.
Create a vector with 100,000 elements of random numbers uniformly distributed between 0 and 1. Calculate its histogram with 1000 bins. Then calculate the histogram of the histogram with 20 bins. What does the histogram of the histogram look like? Do it several times.
It is just a jagged line resembling nothing.
It is conceptually similar to the burger square from that Simpsons episode so it looks like a burger.
Looks like a uniform distribution
Looks roughly like a bell curve.
It is a perfectly straight line.
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