Say, for a different dataset consisting of 15 observations, the corresponding normal probability plot roughly follows a linear trend with slope 7.21 and y-intercept (0, 0.58). What can we say about the distribution of our dataset ? Explain your answer.
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.
Say, for a different dataset consisting of 15 observations, the
corresponding normal probability plot roughly follows a linear trend with slope
7.21 and y-intercept (0, 0.58). What can we say about the distribution of our
dataset ? Explain your answer.
Here,
There are 15 observations given and the slope for the data is equal to 7.21 and y_intercept is equal to (0, 0.58).
Intercept: The intercept can be stated as the point where the function crosses the axis.
Slope: The slope of a plot is the change in one variable over the change in another variable.
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