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An electrical firm that manufactures a certain type of lightbulb wants to estimate its mean life. Assuming that the life of the lightbulb is normally distributed and the standard deviation is known to be 40 hours, how many bulbs should be tested so that we can be 90% confident that the estimate of the mean will not differ from the true mean life by more than 10 hours?
Of the adults in Jefferson County, 10% have had CPR training
Simulate the arrival of cars at the service station for 20 arrivals and compute the average time between stations and Simulate the arrival of the cars at the service station for 1 hour
Create a scatter plot for those data. Based on scatter plot, how would you explain relationship between the two variable.
Results are comparable to what could be expected in human serum. Are true binding percentages for five antibiotics tested all equal? Let α = 0.05.
Random sample of 150 viewers last night revealed 53 watched news on WNAE, 64 watched on WRRN, and 33 on WSPD. At .05 significance level, is there a difference in proportion of viewers watching three channels?
Supposing a linear relationship, use the least squares method to find the regression coefficients b 0 and b 1 .
Provided an example of a research problem at any organization that would benefit from the employ of either descriptive statistics or probability distribution statistics.
When performing a 2-way ANOVA with replication you must first: A) Perform an interaction hypothesis test B) Take out the error because you ran replicates and error makes no sense with replicates
The 99% confidence interval estimating the proportion of all students at the university who prefer outdoor exercise is given by which of the following?
Use simple exponential smoothing with α = 0.33 to forecast battery sales for February through May. Assume that the forecast for January was for 22 set of tires.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
Indicate your hypotheses, decision rule, statistical decision and management conclusion using the critical value and then find the p-value and state your decision rule, statistical decision and management conclusion using this method.
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