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Particular hair treatment program has caused hair growth in 70% of its users. A random sample of 20 users is obtained. Using the Binomial Probability Distribution, determine the following probabilities:
a) That exactly 15 experienced hair growth.b) That less than 9 experienced hair growth.c) That more than 12 experience hair growth.d) That 15 or more experience hair growth.e) That 7 or less experienced hair growth.
Finds that their mean travel time is = 22.5 minutes. What are the null and alternative hypotheses for testing whether the true mean is different from 20 minutes?
A frequency distribution was developed. The lower endpoint of the first class is 9.30, and the midpoint is 9.35. what is the upper endpoint of this class?
If is the proportion of the next 100 shoppers that buy a packet of the crackers after tasting a free sample, then the probability that fewer than 30% buy a packet after tasting a free sample is approximately.
A building contractor pays $500 to bid on a contract. If he gets the contract, the probability of which he estimates to be 0.70, he will make a profit of $50,000.
Show that someone will think that the claim has more than a fifty percent chance of being true if p > q / (1 + q). Explain.
Discuss the concept of statistical significance, including your understanding of what it means, why it is important, and how it can be used.
I am not understanding how to do this question as I am still trying to grasp an understanding of the material. I came across this question at the end of the chapter:
The company will replace any printer that fails within 1 year after purchase. What percent of printers can be excpected to fail during the warranty period.
Inspect table produced in question 2 above. Comment on relative sensitivity of minimum sample size to actual proportion and to desired half width.
What is the probability that a randomly chosen package is improperly sealed?
In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is:
What is the probability the circuit will last more than 3000 hrs. What is the probability the circuit will last between 2500 and 2750 hours and what is the probability the circuit will fail within the first 2000 hrs.
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