1. Draw a histogram from all the data. Starting at the bottom row, for each set of 10 flips, place an “x" in the column corresponding to the number of heads that set produced. Your histogram should look similar to the example below: 10 xxxxX 0 1 2_3 4 5 6 7 8 9 10 Flip Set Number of Heads in 10 Flips 2. Calculate the mean and standard deviation. mean = standard deviation = 3. Calculate the percent of the data that within 1, 2, and 3 standard deviations of the mean. 1. within 1 standard deviation = 2. within 2 standard deviations = 3. within 3 standard deviations = 4. Compare your results to a normal distribution. Interpret any differences. Number of Heads
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.
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