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Q1) Sample of size 26 was taken from normal population with standard deviation 1.697. Approximate the probability that standard deviation of sample is greater than 1.23.
Q2) McDonald's manager knows that cars arrive at drive-through at rate of 2 cars per minute between hours of 12 noon and 1:00 p.m. Determine probability that fewer than 6 cars arrive between 12 noon and 12:05 p.m.?
Q3) There are 30 identical items in delivery box. For box to pass inspection, at least 20 of those items must be in good condition. If inexperienced quality inspector finds out randomly whether or not item is in good condition, determine the probability that box will pass inspection?
Create a 95% confidence interval for mean cost of repairs. Interpret this interval.
Compute the mean of the sampling distribution? Compute the standard deviation of sampling distribution?
The American Automobile Association checks the prices of gasoline before many holiday weekends.
Make a graph to visualize the problem and state, without doing the calculations, whether the p-value of the test
Explain how much should the airport authority be willing to pay for perfect information about the success of a brand new airport.
A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst.
The lengths of pins produced by a machine follow a normal distribution with mean 2.54 cm and standard derivation 0.04 cm.
MATH1550H: Assignment: Question: Experience shows that X, the number of customers entering a post office during any period of time t, is a random variable the probability mass function of which is of the form
Prepare tables of descriptive statistics (mean, median, Quartiles, IQR, and Standard Deviation) by firm for net profit margin (PROFITS). Discuss.
Test the hypothesis that the dogs did significantly better than what would be expected with random guessing.
The times needed to fall asleep are assumed to follow a normal distribution. The results for the two nights for the ten volunteers are shown below:
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
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