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Q1) Once triage system is put in place, it does quite close to expectations. All data conform to planners' expectations except for one set classifications made by nurse practitioner. Suppose that triage nurse has been sending 91% of all patients to Simple Prescriptions area when in fact only 90% must have been so classified. Remaining 1% are discovered when transferred to emergency area by doctor. On average, how long does patient stay in ER? On average, how long does Potential Admit stay in ER? On average, how many patients are in the ER?
What is the probability that all 3 would iPods from best buy? Or at least one would have iPod from best buy?
What is sampling with replacement, and why it is used?
Since 38% is less than 40%, does this mean that immediate production cutbacks are needed or can this difference of 2 percentage points be attributed to sampling?
Which component of a time series is most likely to occur? Which component has a pattern that must be complete in a single year and repeat from year to year?
If statistically significant, do you think the difference is large enough to be important?
The sample data are summarized by the statistics n = 27, x = 4.6 years, s- 1.9 years.
Compute z values for each and comment on your findings.
Sketch density curves that might explain distributions with fallowing shapes: symmetric, but with two peaks( i.e., two strong clusters of observations)
Based on this survey, what conclusions can you reach about the use of the Internet at work.
The critical F value with 6 numerator and 60 denominator degrees of freedom at α = .05 is:
I survey 50 potential consumers regarding their interest in the product, 34 express an interest in purchasing it. The maximum price each would be willing to pay is shown below.
Use alpha level. 05 to compute and interpret Pearson's r and to test whether it is important (using all your steps for hypothesis test).
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