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Topic: Normal Probability DistributionQuestion: Assume that blood pressure readings are normally distributed with a mean if 116 and a standard deviation of 4.8. If the 36 people are randomly selected, How do I find the probability that their blood pressure will be less than 118?
What was the probability that a student worked a part time job or made the Dean's list. Interpret the results.
The probability of accepting a lot that is 10% defective is .677. Does that mean, then, that the probability of rejecting the lot is 0.333?
If a group of 81 children is selected at random, what is the probability that the average time these children watch television is more than 3.5 hours a day?
Would it be sensible to conclude that more than 10% of applicants are now failing the test?
Find a % confidence interval for the difference in average absorption time for the two drugs. Does it appear that one drug is absorbed faster than the other at the % significance level.
The number of traffic accidents that occurs on particular stretch roas during a month follows a Poisson distribution with mean of 8.5. Find the probability of observing exactly three accidents of this stretch of road next month.
What is the hourly rate for cars entering the tunnel? Given rate is per minute therefore to get the hourly rate we need to x 60. Hourly rate -= 0.5 x 60 = 30 cars/hour.
At a board meeting of 20 businessmen, all of whom wear ties, what is the probability that:
Of 1338 people who came into a blood bank to give blood, 253 people had high blood pressure. Estimate the probability that the next person who comes in to give blood will have high blood pressure.
Basic concepts. For each of the following, answer the question and give a short explanation of your reasoning.
At 95% confidence, test to determine if more than 21% of the population will like the new soft drink.
The average age of the women was 36.97 with a standard deviation of 8.893. If a 95% confidence interval is calculated to estimate the difference between the two average ages, what is the margin of error? Assume both population standard deviations ..
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