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A series of exercises on finding probabilities related to the normal distribution. Topics include calculating the percentage of the area under the curve that lies to the right of the mean, the probability of a randomly chosen score lying to the right or left of the mean, and finding probabilities using standard normal distribution tables. The document also includes exercises on finding probabilities for a normal random variable.
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Section 11.
What percent of the area under the curve lies to the right of the mean?
Suppose a score is chosen at random. What is the probability that it lies to the right of the mean?
What percent of the area under the curve lies between μ - σ and μ + σ?
Suppose a score is chosen at random. What is the probability that it lies within one standard deviation of the mean?
This example will help you do exercises 9-14, 19-22 on p. Z denotes the standard normal random variable. Find: a) P(0 ≤ Z ≤ 1.95) b) P( -2 ≤ Z ≤ 0) c) P( Z ≤ .79) d) P( Z ≥ 1.3) e) P( 1.11 ≤ Z ≤ 2.49) f) P( -.03 ≤ Z ≤ 1.98) g) P( Z ≥ 5.9)
This example will help you do exercises 23-26 on p. Let X be a normal random variable with μ = 0.51 and σ = 0.23. Find: a) P ( X ≤ .65) b) P ( -.65 ≤ X ≤ -.15)
This example will help you do exercises 27-32, 34 on p. Suppose the annual rainfall in Statville is known to be normally distributed with a mean of 35. inches and a standard deviation of 2.5 inches. In a randomly selected year, what is the probability that the rainfall exceeds 41 inches?
Without using the table, find: P( Z < -3) + P(-3 ≤ Z ≤ -1) + P( -1< Z ≤ 2) + P( Z > 2)
Section 11.
A fair coin is tossed 100 times. What is the probability that we get: a) between 40 and 60 heads, inclusive? b) exactly 50 heads?
The admissions office at Slippery Rock University knows from past experience that 60% of all high school applicants will enroll as freshmen. If 1200 high school students apply for admissions for next year, what is the probability that no more than 750 will enroll?