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Question:
A patient is seen at a clinic. A recent epidemic in town shows that the probability that the patient suffers from the flu is 0.75. The probability that the patient suffers from walking pneumonia is 0.55. The probability that he/she suffers from both is 0.50. Denote by F the event suffers from the flu and by M that he/she suffers from pneumonia.
(a) Interpret and compute P(F|M)
(b) Interpret and compute P(M|F)
(c) Are F and M independent? Explain.
Attended a religious service at least once a month, 20 stopped to help a person with car trouble. At the 0.05 significance level, test the claim that the two proportions are equal.
A pizza restaurant manager claims that the average home delivery time for their pizza is no more than 20 minutes.
What decision would an optimist make? Why?
Do you reject or fail to reject the null hypothesis? What is the effect size? assuming a=0.05, state your hypothesis for a one tailed test, the critical test statistic, your conclusion?
How can we be certain that surveys and statistics that we hear about in the media are accurate samples and unbiased? Is there a way to dissect the information and determine if a probability sample was used?
Can you explain to me how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same. Please provide a numerical example:
The data given below are taken from two independent samples collected randomly. What is the value of test statistics?
Can we conclude that, as the size of the home (reported below in thousands of square feet) increases, the selling price (reported in $ thousands) also increases?
Explain whether the authors used a population or a sample. Explain how this could have affected the results. If a sample was used, was it representative of the entire population? Why or why not?
Is this sample sufficient to conclude that the eye spots have a significant influence on the birds behavior? Use a two tail test with alpha =.05. Compute the estimated Cohen's d to measure the size of the treatment.
How to determine the sample size for comparing mulltiple parameters like Height , weight, Blood pressure ,Blood parameters like blood glucose, total cholesterol, etc in two different populations?
An automobile manufacturer has a new model that they claim gets 27 miles per gallon. A consumer testing agency chooses 50 of these cars and finds that the sample mean is 25 miles per gallon and the sample standard deviation (s) is 3 miles per gall..
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