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Q1) Assume duration of human pregnancies follow mound-shaped distribution with mean of 266 days and the standard deviation of 16 days.
i) Approximately what percentage of human pregnancies last between 250 and 282 days?
ii) Between what two values will durations of 95% of all human pregnancy fall? Change these values to months (with decimals), suppose typical month has 30 day.
iii) Assume also that durations of horse pregnancies follow mound-shaped distribution with a mean of 336 days and standard deviation of 3 days. Is horse or a human more likely to have pregnancy that lasts within +- 6 days of its mean? Describe briefly."
At 95% confidence, test to determine if more than 21% of the population will like the new soft drink.
The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
Determine the point estimate? Give the symbol and value.
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 bookcase contains 3 statistics books and 4 biology books. If 2 books are chosen at random, find the chance that both are statistics books.
Explain why random samples are preferred to nonrandom samples.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. Check the normality assumption.
Answer the following three questions based on what you know about statistics now.
Explain in words general pattern of correlation is statistically important.
Gas consumption of 3 cars (labeled car A, car B, and car C) using 4 different kinds of gasoline. Is there difference among kinds of gasoline?
Solution throughout graphical method. Produced by a company linear programming model is used to describe the production schedule.
The population of IQ scores forms a normal distribution with mean of μ = 100 and a standard deviation of σ = 15. What is the probability of obtaining a sample mean greater than M = 105,
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