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One year ago, a survey of persons 18 and over showed that 45% answered YES, 40% answered NO, and 15% answered UNDECIDED. When asked the question "Do you think there should be harsher penalties for under age lawbreakers?" Recently a random sample of 1000 persons 18 and over was asked the same question. The response as follows..YES-500 NO--400 UNDECIDED 100.
At the 1% significance level, can it be concluded that the current distribution of responses differs from that of a year ago ?? Formulate and test the appropriate hypotheses. Use the critical value approach.
For the following scores, find the: A. Mean. B Median. C. Sum of squared deviation. D. Variance. E. Standard deviation.
He would like to estimate with .05 of the true proportion with a confidence level of 90%. What is the sample size needed?
Construct a 99% confidence interval estimate of the population mean amount of paint in a 1-gallon can.
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
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.
There're several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control.
In the 1992 U.S. presidential election, Bill Clinton received 43% of the vote compared to 38% for George H. W. Bush and 19% for Ross Perot. Suppose we had taken a random sample of 100 voters in an exit poll and asked them for whom they had voted.
At 95% confidence using the p- value approach, test the hypotheses. Let α = 0.1.
The mean amount of a purchase at the Smith Hardware store is $23.50 with standard deviation of $5.00. The amounts purchased follow normal distribution.
A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance.
A survey taken in a restaurant shows the following number of cups of coffee consumed with each meal. Construct an ungrouped frequency distribution.
Two tools that are often used in this process are the contingency table and the decision tree. What are these tools and how to they help us to make decisions under uncertainty when we are dealing with probabilities?
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