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At a recent meeting of educational researchers comparison were made between the type of college freshmen attend and the numbers who drop out. A random sample of freshmen show the following results: (keep two decimals in calculating expected frequencies)
4Yr public 4Yr private 2Yr public 2Yr privatedrop out 10 9 15 9don't drop 26 28 18 27
Use a significance level of .05 and determine if the type of school and the drop out rate are independent.
Provide an example of three events that would be mutually exclusive. Are these events also exhaustive? Then, give an example of three events that would be exhaustive. Are these exhaustive events also mutually exclusive?
If he finds differences, then he may realize that, 1) he will need to evaluate his course ethnic sensitivity,
According to the historical data, the life expectancy in Argentina is equal to the life expectancy in Bolivia. A new study has been made to see whether this has changed.
A manufacturer claims that the mean lifetime,M , of its light bulbs is 51 months. The standard deviation of these lifetimes is 9 months. Ninety bulbs are selected at random, and their mean lifetime is found to be 53 months.
A new car is designed to run a mean of at least 50 000 kilometers before its first tune-up. Tests with 30 cars show a sample mean of 49 500 kilometers and a sample standard deviation of 1000 kilometers.
What is the probability the Time/CNN poll will provide a sample proportion within plus-or-minus 0.02 of the population proportion?
A restaurant has an ice cream counter where it sells two main products, ice cream and frozen yogurt. The restaurant makes one order for ice cream and yogurt each week, and the store has enough space for 115 gallons of both products.
What is the probability the crew member earns: a. Between $20.50 and $24.00 per hour? b. More than $24.00 per hour? c. Less than $19.00 per hour?
As a part of the editorial a random sample of 315 households showed 260 own pets. Does this data disagree with the Pet Food Dealers Association data? Use a 0.10 level of significance.
The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X 1 ) and their gender (X 2 ) (0 if male and 1 if female).
To find the 95 percent confidence interval for the true population mean. From the results below, is it true that 95% of the sample means will fall
What is the probability of this project being completed earlier than 19 days?
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