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College students are a major target for advertisements for credit cards. At a university, 65% of students surveyed said they had opened a new credit card account within the past year. If that percentage is accurate, how many students would you expect to survey before finding one who had not opened a new account in the past year?
Assume that the standard deviation of college student IQ's is 10. A random sample of 100 students from a college showed an average IQ of 110. Compute a 95% confidence interval for the mean IQ of students attending this college.
Formulate a linear programming model for this problem.
So construct a multiple regression model for predicting the crime rate based upon various explanatory variables unemployment rate, median income, education level.
A basketball player shoots 8 free throws during a game. If we assume that each attempt has the same probability of success, the sample space for the number of baskets he/she makes during the game is ??
Determine the critical path probability that project will be completed within?
For the data shown below, prepare a x-bar chart. Note that the sample size is three. Record the values for the UCL, center line, and LCL. In addition, note any points that are out of control.
Using the appropriate statistical procedure on the SPSS, test the between group means for a significant difference.
He surveys several businesses and finds the standard deviation in monthly advertising costs is $23 for 12 hair salons, and $43 for 8 nail salons.
The null hypothesis is to be tested at the 10% level of significance. The critical value from the table is:
The mean return for the random sample of 33 mutual funds is 14.93 percent with a standard deviation of 9.57. Test the null hypothesis: H0: mu = 15% at α = 0.05.
This is called a one-time fling. About 10% of all adults deliberately do a opne-time fling and feel no guilt about it!
If many samples of size 1000 persons are chosen, determine the expected value (mean X-bar) or average of average IQ's for these samples?
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