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An oil executive has determined that the probability that this oil field contains oil is 0.6. Before starting the drilling she decides to order a seismological test to see if there is oil in the ground. Unfortunately, the test is not entirely accurate. It concludes that there is oil with probability 0.9 if there is indeed oil in the ground. If there is no oil in the ground, it concludes so with probability 0.8. Suppose the test result come back positive (i.e., the test says there is oil in the ground). What is the probability that there is indeed oil in the ground given this test result?
Do you use probability in your profession or real life? You most likely do. For example, chance of rain tomorrow is 27%. We hear similar probabilities in the media all the time.
Is this an ideal data collection method? Can the results be considered reliable? Can the gathered data be representative of the population?
If the city manager knows the average salary nationally is $38,300, which test of significance should be used? Why?
How would you communicate this information to the Vice-President of Human Resources in non-statistical language.
A jar contains 8 red marbles, 9 blue marbles, and 6 green marbles. Two marbles are chosen at random. What is the probability that one is green and the other is blue?
a salesperson contacts eight potential customers per day. from past experience we know that the probability of a
If measurements are made instead on 4 separate days and the mean result is compared with the criterion 3.5, what is the probability that Judy is diagnosed as hypokalemic?
the intensity of light re?ected by an object is measured. suppose there are two types of possible objects a and b. if
In a study, the carapace lengths (in mm) of Thenus lobster caught near Singapore measured: 78,66,65,63,60,60,58,56,52 and 50 ( the population data is approximately normal).
A salesperson obtained a systematic sample of size 20 from a list of 500 clients. To do so, he randomly selected a number from 1 of 25, obtaining the number 16. He included in the sample the 16th client on the list and every 25th client thereafter..
Construct a 95% confidence interval for the proportion and calculate the P value for the given test.
In a large population of college-educated adults, the mean IQ is 118 with a standard deviation of 20. What is the probability that a randomly selected adult from this population has an IQ that is greater than 120?
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