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1) Yesterday the proportion of all stocks that had gains was 0.74. You own 10 stocks. What is the probability that more than 7 of your stocks had gains?
2) Clyde hits 70% of his free throws in basketball. Determine the probability that Clyde makes 8 out of 14 free throws.
3) The random number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a Uniform Probability Distribution. What is the probability of generating a number between 0 and 0.2?
A random sample of 25 injections resulted in a variance of 0.135 test if the apparatus has a greater variance than the desired one.
She figures that each box costs $ 2.59 plus $ 0.21 shipping and handling, which totals $ 2.80, then she adds $ 0.70 profit to each box and sells it for $ 3.50. Do you think this is a good pricing strategy? How would it compare to marking up by a p..
Compute mean x and standard deviation s of data above. Calculate Ho by using traditional/classical method.
Use a 1% level of significance to test the claim that there are more calls during the night than in the day.
If an original set of measurements is made in inches and has mean of 36 and variance of 144, what will be the mean, variance, and standard deviation if:
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
In 1990, the population of Austin, Texas, was 494,290. During the next 10 years, the population increased by about 3% each year.
State the null and the alternative hypotheses. Using the p-value approach, test to determine whether or not the mean age of all employees is significantly more than 40 years.
The regression line yˆ2 = 3 + 2x has been fitted to the data points (4,8), (2,5), and (1,2). The residual sum of squares will be:
Let x = number of the ball obtained on any selection. Then the probability distribution for x is given by:
Pretest-posttest design and internal validity threats - please discuss all threats to internal validity.
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
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