Match the summary statistics with the histograms. Hint: there isnt enough detail to compute the mean, median and standard deviation, but you can answer this question by thinking about the relationship between the mean and the median when the graph is skewed, and when is symmetric, by looking at the scale in the x-axis and thinking which one has a larger standard deviation. a. mean = 4.99, median = 3.13, standard deviation = 5.49 Variable b. mean = 4.89, median = 4.83, standard deviation = 7.99 Variable c. mean = 5.01, median = 6.87, standard deviation = 5.49 Variable d. mean = 4.96, median = 4.93, standard deviation = 0.96 Variable
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.
Match the summary statistics with the histograms.
Hint: there isnt enough detail to compute the
a. mean = 4.99, median = 3.13, standard deviation = 5.49 Variable
b. mean = 4.89, median = 4.83, standard deviation = 7.99 Variable
c. mean = 5.01, median = 6.87, standard deviation = 5.49 Variable
d. mean = 4.96, median = 4.93, standard deviation = 0.96 Variable
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