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The records show that 8% of the items produced by a machine do not meet the specifications. Use the normal approximation to the binomial distribution to answer the following questions. What is the probability that a sample of 100 units contains.
a. Five or more defective units?
b. Ten or fewer defective units?
c. Eleven or less defective units?
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
How is this relationship different from the bi-variate relationships?
In a recent year, 11th grade New York public school students taking an English test produced test scores that were normally distributed with a mean of 81 and a standard deviation of 6. Let x be a random variable that represents a test score.
For given population of high school seniors, the schoolastic aptitude test (SAT) in mathemathics has mean score of 500 with the standard deviation of 100.
Make a forecast for 2004, using either the fitted trend model or a judgment forecast. Why is it best to ignore earlier years in this data set?
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)?
The mathematics SAT scores of the seven students in a mathematics seminar are 533, 553, 578, 586, 619, 626, and 633. Suppose that the student with the score of 533 drops the seminar and is replaced by a student with a score of 765.
Findout the normal model for the given proportions. The professor has every student toss a coin 50 times also calculated the proportion
Explain the relationship between sample size and the likelihood of a statistically significant difference between the measured values of two groups.
If person is selected at random and tested, determine the probability of that person having an IQ score between 85 and 115. Make use of EXCEL to help determine the probability.
A teller can process an average of 100 customers per hour, which also can be modeled by a Poisson distribution. If there is one teller on duty, determine:
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