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1. Using the data collected from the Student Data Survey at the beginning of the course, construct a probability distribution of the levels of confidence regarding the course (1-4). Examples of probability distribution tables are found in 5.2.
2. Find the mean and standard deviation of the probability distribution for #3.
1= not confident
2= confident
1= 71, 19.45%
2=135, 36.99%
3= 129, 35.34%
4= 30, 8.22%
Another day, it took Eric only 12 minutes to get to work. Using the same formula, determine the z value. Is it positive or negative? Explain why it should be positive or negative.
below are five questions that might be found on questionnaires. comment on each as to whether it is a good question
A certain firm specializing in the manufacture and sale of free time clothing has 80 retail stores in Florida and 140 in California. With each state as a stratum, the firm wishes to estimate average sick-leave time per employee for the past year
determined from the test in Part (b) and test the homogeneity of the six response curves. State the conclusion of the test and give the model you have adopted at this stage.
Compare and contrast the similarities and differences between the two scores and explain when and why you would use each.
Now assume that θ2 > 0 (with probability 1), and let δ1 hat be the Bayes estimator of 1/θ2 under the setup above. Show that δ1δ2 hat is the bayes estimator of θ1/θ2 , given x = (X1, X2).
If each professor has an equal chance of being selected, what is the probability that both professors are chemistry professors?
The sample mean X will be used to estimate. Determine the probability that the estimate will be off by less than .2 oz. Assume that the SD of the fills is .8 oz.
A state meat inspector in Iowa has been given the assignment of estimating the mean net weight of packages of ground chuck labeled “3 pounds.” Of course, he realizes that the weights cannot be precisely 3 pounds. A sample of 36 packages reveals the m..
A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination.
Standard deviation of $1.2 million in 2009. Suppose a sample of 100 major league players was taken. What was the standard error for the sample mean salary?
How many ounces should they advertise on the box if they want to be sure that no more than 0.5% of the boxes are filled less than that advertised amount?
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