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A researcher aims to investigate if hospital A has a higher survival rates than hospital B when it comes to heart transplants? Test at the .02 significance level. Hospital A: 820 survived; sample size = 1000 Hospital B: 420 survived; sample size = 600
a) What are the null and alternative hypotheses?
b) Draw the picture of the distribution of the test statistic. Include region (s) of rejection and non- rejection.
c) What is the critical value of the test statistic?
d) What is the calculated (computed) value of the test statistic?
e) State the decision rule and what is your conclusion?
What is the average size of a city in the country? (This is the arithmetic mean of the populations of the cities, and is also the expected value)
The receiver is correct only 85% of the time. What is P(W), the probability of a wrong decision if the probabilities of receiving 0s and 1s are equally likely? What can you conclude from your result?
Based on the answer from question 9, calculate 90% confidence limit around your best estimate of the average savings.
Is Artificial Intelligence (AI) real intelligence? Can a computer learn and replace human thinking? AI can be grouped into three areas.
Describe how you would simulate the number of seatbelt-wearing drivers among the five cars.- Run at least 30 trials.
Find the probability that the number who say oatmeal is their favorite cookie is (a) exactly four, (b) at least four, and (c) less than four.
Is there evidence to suggest a difference in the mean waiting times at the four body shops? Use the .05 significance level.
out of the 3,200 respondents, 640 answered yes and the remainder no. find 95% confidence intervals for the proportion of the population who would say yes (Z value for 95% is 1.96)
An electro hydraulic actuator is used to actuate large loads for a robot manipulator, as shown in Figure DP9.5 [17]. The system is subjected to a step input, and we desire the steady-state error to be minimized. However, we wish to keep the overs..
For this sample, you found that the average return was 13.5% and the standard deviation was 1%. Test Pollard's claim at α = 0.05. What assumptions are you making in this problem?
Two independent random samples of 25 waiting times in each of the counters gives s1 = 2.5 minutes and s2 = 3.1 minutes. Carry out the test of equality of variances, using α = 0.02.
Assuming that the standard deviation and the normal shape are unchanged, to what level must the mean reduce so that 20 gallons per week is the third quartile rather than the mean?
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