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A baseball pitcher has only three pitches: a fast ball, a curve ball, and a knuckle ball. As the pitcher warms up before an inning, she wants to throw a fast ball 2 times, a curve ball 6 times, and a knuckle ball 4 times. How many different ways can this be done.
suppose a random sample of 100 u.s. companies taken in 2005 showed that 21 offered high-deductible health insurance
x1, x2, x3 are zero mean Gaussian random variables with STD=4. Let x1 and x2 be independent and x3= a*x1+b*x2. Find the constants “a” and “b” such that the correlation between x1 and x3 is 0.3. What is the correlation between x3 and x2?
what are called the two variables in a scatter plot?a- independent variables and dependent variablesb- relative
If the ball is red put it back into the urn. If the ball is black, replace it with a red ball. Let X be the number of picks needed to get the fourth black ball. Find E[X].
what distinguishes raw scores from difference scores besides the fact that difference scores are used in t-statistic
The number of cell phone minutes used by high school seniors follows a normal distribution with a mean of 500 and a standard deviation of 50. What is the probability that a student uses fewer than 600 minutes?
a report from the u.s. department of justice reported the percent changes in federal prison populations in 21
Standard deviation of 44.7 mg/dL. Let x signify serum total cholesterol level for U.S. females 20 years old or older. Draw the distribution of the variable x.
in a large lecture class the professor announced that the scores on a recent exam were normally distributed with a
what is the probability that the sample mean of IQ scores will not differ from the population mean by more than 2 points? (Round your answer to four decimal places.)
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall semester on the basis of past experience.
For each of the following populations, would a score of X = 50 be considered a central score (near the middle of the distribution) or an extreme score (far out in the tail of the distribution)?
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