scores on a statistics final in a large c lass were normally distributed with a mean of 73 and a strandard deviation of 8.use the TI-84 PLUS calculator to answer the following. Ruund the answer to at least four decimal places. a..... What porportion of the scores were above 88? The proportion of scores above 88 is b..... What iproportion of the scores were below 62? The proportion of score below 62 is c What is the probablity that a randomly chosen score is between 65 and 80? The probability that a randomly chosen score is between 65 and 80 is

scores on a statistics final in a large c lass were normally distributed with a mean of 73 and a strandard deviation of 8.use the TI-84 PLUS calculator to answer the following. Ruund the answer to at least four decimal places. a..... What porportion of the scores were above 88? The proportion of scores above 88 is b..... What iproportion of the scores were below 62? The proportion of score below 62 is c What is the probablity that a randomly chosen score is between 65 and 80? The probability that a randomly chosen score is between 65 and 80 is

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

a..... What porportion of the scores were above 88?

The proportion of scores above 88 is

b..... What iproportion of the scores were below 62?

The proportion of score below 62 is

c What is the probablity that a randomly chosen score is between 65 and 80?

The probability that a randomly chosen score is between 65 and 80 is

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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