SAT Scores in Illinois According to the 2017 SAT Suite of Assessments Annual Report, the average SAT math score for students in Illinois was 556. Assume the scores are Normally distributed with a standard deviation of 100. Answer the following including an appropriately labeled and shaded Normal curve for each question. a. What percentage of Illinois Math SAT takers scored 600 or more? b. What percentage of Illinois Math SAT takers scored between 600 and 650? c. Suppose students who scored in the top 5% of test takers in the state were eligible for a special scholarship program. What SAT math score would qualify students for this scholarship program?
SAT Scores in Illinois According to the 2017 SAT Suite of Assessments Annual Report, the average SAT math score for students in Illinois was 556. Assume the scores are Normally distributed with a standard deviation of 100. Answer the following including an appropriately labeled and shaded Normal curve for each question. a. What percentage of Illinois Math SAT takers scored 600 or more? b. What percentage of Illinois Math SAT takers scored between 600 and 650? c. Suppose students who scored in the top 5% of test takers in the state were eligible for a special scholarship program. What SAT math score would qualify students for this scholarship program?
SAT Scores in Illinois According to the 2017 SAT Suite of Assessments Annual Report, the average SAT math score for students in Illinois was 556. Assume the scores are Normally distributed with a standard deviation of 100. Answer the following including an appropriately labeled and shaded Normal curve for each question.
a. What percentage of Illinois Math SAT takers scored 600 or more?
b. What percentage of Illinois Math SAT takers scored between 600 and 650?
c. Suppose students who scored in the top 5% of test takers in the state were eligible for a special scholarship program. What SAT math score would qualify students for this scholarship program?
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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