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Q1) Hospital emergency room (ER) is presently organized so that all patients register through initial check-in process. At his or her turn, each patient is seen by doctor and then exits process, either with prescription or with admission to hospital. Presently, 50 people per hour arrive at ER, 10% of whom are admitted to hospital. On average, 30 people are waiting to be registered and 40 are registered and waiting to see doctor. Registration process takes, on average, 2 minutes per patient. Among patients who get prescriptions, average time spent with doctor is 5 minutes. Among those admitted to hospital, average time is 30 minutes. On average, how long does patient stay in ER? On average, how many patients are being examined by doctors? On average, how many patients are in ER?
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
Discuss possible study designs. Which of the designs would we use to test our research hypothesis?
Make a decision regarding the null hypothesis based on the sample information. Interpret the results of the test and state your conclusion.
From the given research, compare the major players better at batting than 20 years ago using five step hypothesis.
To test the given claim using Single Proportion Z test.
Assume a business researcherwishes to test hypothesis that greater proportion of marketing managers keep track of such obligations.
Use empirical Rule to evaluate proportion of costs within 2 standards deviations of mean. Write down these limits.
New study is to use 90% confidence level. Estimate is to be within 1 percent of population proportion. Determine the essential sample size?
Romance USA present reported that 11 percent of all books sold are of the romance genre. If a local bookstore sells 316 books on a given day
The number of standard errors that the sample estimate (p 1 - p 2 ) of (p1 - p2) falls from its null hypothesis value of zero is called
Describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is:
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