The table below shows the frequency distribution of the rainfall on 52 consecutive Wednesdays in a certain city. Use the frequency distribution to construct a histogram. Do the data appear to have a distribution that is approximately normal? Choose the correct histogram below. OA. 30- Class Frequency 20- 0-0.19 26 10- 0.20 - 0.39 10 0.40 - 0.59 4 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0.60 - 0.79 3 0.80 - 0.99 OB. 30- 4. 1.00 - 1.19 1 1.20 - 1,39 4 20- 10- 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Oc. 30- 20- 10- 0- 0.0 0.2 0.4 0.6 0.8 1.0 1.2 14 Do the data appear to have a distribution that is approximately normal? O A. Yes, it is approximately normal. O B. No, it has no obvious maximum. OC. No, it is approximately uniform. O D. No, it is not symmetric.
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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