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A two-tailed test of hypothesis was conducted and 60 values were above the median. Computed z = 1.61. At the 0.05 level, what is the decision regarding the null hypothesis?
A) Reject it
B) Fail to reject it
C) Neither reject it nor fail to reject it
D) None of the above
Create a 95% confidence interval for the value of the population mean, given that their are 64 observations and a sample mean of 49, with a sample standard deviation of 3,test the hypothesis with an alpha equal to .05
The manufacturer of the X-15 steel-belted radial truck tire claims that the mean mileage the tire can be driven before the tread wears out is 60,000 miles.
Assuming sales are normally distributed, what is the probability that total sales for a 7 day period are $,7,700.00 or more.
What is the value of the population mean? What is the best estimate of this value?
Forty percent of the time, sales are more than 470,000 and 10 percent of the time, sales are more than 500,000. What is the mean and standard deviation of the distribution?
A sample of 45 students enrolled in the university indicates that X (bar) = $285.4 and s = $42.20. Using the 0.05 level of significance, is there evidence that the population mean is above $300?
Determine the mean, median and mode of those data. Make sure you show your hand computeed work. Is there any indication from this group of data that the new policy holder may lean toward younger ages?
Let Z be a standard normal random variable. Calculate the following probabilities using the calculator provided. Round your responses to at least three decimal places.
3 voters are randomly selected (with replacement) from a group of 1,500 people. The group is known to be 20% republican. What is the probability that all of them are republicans?
what are the confidence limits for the proportion that plan to vote for the Democratic incumbent?
The probability that a house in an urban area will be burglarized is 5%. If 50 houses are randomly selected, what is the probability that one of the houses will be burglarized?
People arrive at a restaurant at a rate of five per minute and wait to receive their order for an average of 5 mins. Customers eat in with a probability of 0.5 and carry out with a probability of 0.5.
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