SAT Scores in Florida According to the 2017 SAT Suite of Assessments Annual Report, the average ERW (English, Reading, Writing) SAT score in Florida was 520. 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 is the probability that an ERW SAT taker in Florida scored 500 or less? b. What percentage of ERW SAT takers in Florida scored between 500 and 650? c. What ERW SAT score would correspond with the 40th percentile in Florida?
SAT Scores in Florida According to the 2017 SAT Suite of Assessments Annual Report, the average ERW (English, Reading, Writing) SAT score in Florida was 520. 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 is the probability that an ERW SAT taker in Florida scored 500 or less? b. What percentage of ERW SAT takers in Florida scored between 500 and 650? c. What ERW SAT score would correspond with the 40th percentile in Florida?
Solution Summary: The author determines the percentage probability of Florida ERW SAT takers who scored 500 or less.
SAT Scores in Florida According to the 2017 SAT Suite of Assessments Annual Report, the average ERW (English, Reading, Writing) SAT score in Florida was 520. 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 is the probability that an ERW SAT taker in Florida scored 500 or less?
b. What percentage of ERW SAT takers in Florida scored between 500 and 650?
c. What ERW SAT score would correspond with the 40th percentile in Florida?
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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