a) Indicate whether the distribution of the data appears to be skewed to the left, skewed to the right, approximately symmetric, or none of these. Skewed to the left Skewed to the right Approximately symmetric None of these (b) Are there any outliers? If so, how many and are they high outliers or low outliers? If not, enter 0 in the appropriate answer box. Enter the exact answers. There is/are low outlier(s) and high outlier(s). (c) Give a rough approximation for the mean of the dataset. Round your answer to the nearest integer. mean=
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.
(a) Indicate whether the distribution of the data appears to be skewed to the left, skewed to the right, approximately symmetric, or none of these.
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Skewed to the left |
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Skewed to the right |
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Approximately symmetric |
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None of these
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(c) Give a rough approximation for the
Round your answer to the nearest integer.
mean=
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