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The Target Corporation personnel director wants to estimate the number of employees within one year of retirement. A random sample of 120 employee records is selected, and 36 people are found to be within one year of retirement. Formulate an 84% interval estimate for the true proportion of employees within one year of retirement in the entire corporation.
At the 0.01 level of significance, can the student group conclude that there is a difference in average textbook prices for new textbooks sold on campus and over the Internet?
For following scores determine values of each expression: X: 4, 2, 1, & 5. åX, åX 2 , (åX) 2 , å(X-1).
Finding appropriate z- and t-scores is important when constructing confidence intervals. Confidence intervals allow one to estimate important population parameters such as population mean, population proportion, population standard deviation, etc.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
Normal distribution with average 500 and SD 100. A college wants their students to be in the top 12.5% for verbal aptitude. What minimum qualifying score should they set?
1) There are 500 employees in a firm, 45% are female. A sample of 60 employees is selected randomly. a) Determine the standard error of the proportion.
Detremine the mean, standard deviation, and variance for this frequency distribution.
A restaurant claims that its speed of service time is less than 18 minutes. A random selection of 36 service times was collected, and their mean was calculated to be 17.1 minutes.
The quality control manager at a lightbulb factory needs to determine whether the mean life of a large shipment of lightbulbs is equal to the specified value of 375 hours.
Briefly describe: a statistical relation, time series, cross section, least squares, See, r, R-squared, t-value, multicollinearity and serial correlation.
Four brands of light bulbs are being considered for use in the final assembly area of the Saturn plant in Spring Hill, Tennessee. The director of purchasing asked for samples of 100 from each manufacturer.
HIV found that 3 received a false positive test result. Test the researcher's claim of a 2% false positive rate at the a = 0.05 level. What can you conclude?
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