A man recorded the speeds of cars driving past his house, where the speed limit was 25 mph. The mean of 100 readings was 28.77 mph with a standard deviation of 3.67 mph. (He actually recorded every car for a two-month period. These are 100 representative readings.) a) How many standard deviations from the mean would a car going the speed limit be? b) Which would be more unusual, a car traveling 35 mph or one going 15 mph? a) A car traveling at the speed limit is nothing standard deviations from the mean. (Round to two decimal places as needed.) b) Choose the correct answer below and fill in the answer box(es) to complete your choice. (Round to two decimal places as needed.) A. The car traveling 35 mph is more unusual. It is nothing standard deviations from the mean, while the car traveling 15 mph is nothing standard deviations from the mean. B. The car traveling 15 mph is more unusual. It is nothing standard deviations from the mean, while the car traveling 35 mph is nothing standard deviations from the mean. C. Both cars are equally unusual. Both cars are nothing standard deviations from the 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.
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