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The new Twinkle bulb is being developed to last more than 1000 hours. A random sample of 100 of these new bulbs is selected from the production line. It was found that 64 lasted more than 1000 hours. Find the point estimate for the population proportion, the margin of error for a 95% confidence and then construct to the 95% confidence interval for the population proportion
If the value of y is 11 thousands, find the probability that these tires will last at most 15,227 miles. You MUST write your answers with 3 decimal places.
A bonding company want to insure a construction projects completion. If the project is cancelled due to the contractor's lack of performance
A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within 2 of the population mean?
A production line manager, J, is trying to design a manufacturing line, using the machines that her company already has. Based on the historical records
The ACT is also distributed with meanof 21 and standard deviation of 4.7. Rachel wants to be in the 98th percentile on each test. What scores must she recieve on each exam?
Whether they voted for the Democratic or for the Republican candidate in the last congressional election. Which of these variables are categorical and which are quantitative?
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a sales..
The population of lengths of aluminium-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches.
If $145,000 is to be distributed as a dividend for the current year, what total amount will be distributed to the preferred stockholders?
How is the rejection region defined and how is that related to the z-score and the p value? When do you reject or fail to reject the null hypothesis?
What statistic (mean, median or mode) would you use to describe each aspect of the "typical" home? For example, you might use the MEAN for price, the MEDIAN for square footage.
Explain why the sequence is important. What might happen if the hypothesis test is performed before the researcher has decided on the significance level?
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