A variable having a normal distribution can by summarised by the value of the parameters: the mean, μ, and the standard deviation, σ. Explain what effect you would see in a histogram if the value of the standard deviation was increased: a. The histogram would become more spread out and flatter. b. The graph would shift to the left. c. The histogram would become less spread out and higher. d. The graph would shift to the right.
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.
Explain what effect you would see in a histogram if the value of the standard deviation was increased:
| a. |
The histogram would become more spread out and flatter.
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|
| b. |
The graph would shift to the left.
|
|
| c. |
The histogram would become less spread out and higher.
|
|
| d. |
The graph would shift to the right.
|
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