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Studies have shown that 1 in 10 adults have heart disease. Probability of a person with heart disease having a positive EKG test= 0.90 Probability of a person without heart disease having a negative EKG test= 0.95
Assume a person arrives to the emergency room with chest pains and they are given an EKG test.
1. If the test is positive, what is the probability that this person actually has heart disease?
2. If the test is negative, what is the probability that this person actually does NOT have heart disease?
3. Suppose the first EKG test is positive. In order to make sure, a second EKG test is given to the person. What is the probability that this person has heart disease if the second EKG test is also positive?
4. Suppose the first EKG test is positive. In order to make sure, a second EKG test is given to the person. What is the probability that this person has heart disease if the second EKG test is negative?
At the .05 significance level, can we conclude that there is a difference in their mean times?
One suggested environmental determinant of pediatric lung function is the level of cigarette smoking in the home. A researcher wants to do a pilot study with two groups:
Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
A survey found that 85% of women in a given city enjoy shopping online. Suppose you randomly selected 6 women from the city and ask them whether or not they enjoy shopping online. Find the probability that exactly 4 say they enjoy shopping online.
At least half the patients are under 15 years old? First, describe how this can be modelled as a binomial distribution with 8 trials, where success is visitor age is under 15 years old and the probability of success is 20 percent.
Based on the data, determine the 95 percent confidence interval evaluate for true population mean?
What is the approximate probability that the combined weight of 25 items exceeds 445 ounces? What theorem is useful in answering this question?
Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
Store used ANOVA to test if mean sales for each credit card were equal. What are the degrees of freedom for F statistic?
Determine the mode for this distribution. Describe why you can't calculate the mean number of times using data in the table.
Some of the factors affect statistical power for a one sample t test. How does statistical power change (increase or decrease) for each of the following changes?
When we say we have confidence level of 95% what do you believe our "margin of error" is?
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