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As an aid in the establishment of personnel requirements, the director of a hospital wishes to estimate the mean number of people who are admitted to the emergency room during a 24-hour period. The director randomly selects 49 different 24-hour periods and determines the number of admissions for each. For this sample, x = 18.4 and we know that the population variance is 16. Estimate the mean number of admissions per 24-hour period with a 95% confidence interval.
What are the assumptions of a correlated-groups t-test? What measure of effect size is used for a correlated groups t-test?
Determine pearsons correlation coefficient and comment on the value obtained. Obtain a regression equation representing the above data. Estimate the production batch size for a direct labour cost of R350-00.
Let random variable X represent number of heads on first toss and y total number of heads from three tosses. Sketch tree view with X as first level and Y/X as second level and determine conditional probability p(Y=2/X=1).
The population variances are 4.6 and 5.0 respectively. Using a level of significance of .05, is there evidence that the dual degree students are receiving lower grades? Fully explain your answer.
Parameter of interest is mean score in this population. Sample is an SRS of size n = 4 drawn from population. Determine the mean of 10 scores in the population.
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p- value.
Customers arrive to purchase tickets each hour. Determine the average time a ticket buyer must wait and the portion of time the ticket seller is busy.
A certain airplane has two independent alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that (a) both will fail? (b) Neither will fail? (c) One or the oth..
What is the point estimate of the population standard deviation?
From past experience, an automobile insurance company knows that a given automobile will suffer a total loss with probability .02, a 50% loss with probability .08, or a 25% loss with probability .15 during a year.
The lives of many people are affected by a fear that prevents them from flying. The Marist Institute for Public Opinion conducted a poll of 1014 adults
How would you interpret the findings of a correlation study that reported a linear correlation coefficient of -1.34? a) strong linear correlation b) weak linear correlation c) impossible, d) calculation error no linear correlation
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