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A special industrial battery must have a life of at least 500 hours. A hypothesis test is to be conducted with a 0.04 level of significance. If the batteries from a particular production run have an actual mean use life of 485 hours, the production manager wants a sampling procedure that only 10% of the time would show erroneously that the batch is acceptable. What sample size is recommended for the hypothesis test? Use 20 hours as an estimate of the population standard deviation.
Using a critical value, test hypothesis at the 1% level of significance.
Find the probabilities that in 1 hour (a) there are between 23 and 26 calls inclusive, (b) more than 30 calls, using the normal approximation to the poisson distribution.
What is the best method for collecting data to answer your research question? Why is this method best? How would you describe the research design?
Find a partially ordered set (X, ≤), with as few elements as possible, for which the hypothesis of Zorn's lemma holds (every chain has an upper bound) but which does not have a maximum.
Determine the upper and lower control limits for ?- (This Symbol Is Supposed to be an x not an a) and R-charts for the width of a chair seat when sample grand mean
1. one characteristic of nonparametric tests is that they make few if any assumptions about the populations being
Write the hypothesis statement. What distribution are you using?
They find that these 100 people lost an average of 38 hours with a standard deviation of 9.5 hours. What is the P-value for this significance test?
The student body of a large university consists of 70% female students. A random sample of 6 students is selected. What is the probability that among the students in the sample exactly three are female?
Pretests, posttests and threats to internal validity and please discuss all threats to internal validity.
at the downtown office of first national bank there are five tellers. last week the tellers made the following number
What is the procedure involved in performing hypothesis tests and discuss the business uses of time series forecasting.
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