Hugo averages 41 words per minute on a typing test with a standard deviation of 7.5 words per minute. Suppose Hugo's words per minute on a typing test are normally distributed. Let X = the number of words per minute on a typing test. Then, X - N(41, 7.5). Suppose Hugo types 45 words per minute in a typing test on Wednesday. The z-score when x = 45 is x = 45 is This z-score tells you that standard deviations to the (right/left) of the mean, Correctly fill in the blanks in the statement above. Select the correct answer below: Suppose Hugo types 45 words per minute in a typing test on Wednesday. The z-score when x = 45 is -0.533. This z-score tells you that x = 45 is 0.533 standard deviations to the left of the mean, 41. O Suppose Hugo types 45 words per minute in a typing test on Wednesday. The z-score when x = 45 is -0.381. This z-score tells you that x = 45 is 0.381 standard deviations to the left of the mean, 41. Suppose Hugo types 45 words per minute in a typing test on Wednesday. The z-score when x = 45 is 0.381. This z-score tells you that x = 45 is 0.381 standard deviations to the right of the mean, 41. O Suppose Hugo types 45 words per minute in a typing test on Wednesday. The z-score when x = 45 is 0.533, This z-score tells you that x = 45 is 0.533 standard deviations to the right of the mean, 41

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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.