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You work for the BC Lottery Corp. Your boss asks you for an estimate of the percent of British Columbians who have gambled in a BC casino at least once. You decide to take a sample large enough so that the margin of error is no larger than 6% with 95% confidence. Before you take the sample you have no idea what percent have gambled in a BC casino. The results of your sample indicate that 80% have gambled in a BC casino at least once. Your boss tells you the margin of error is too large and wants it reduced to 3%. How many additional adults would you need in your sample to reduce the error to 3%?
5 of which are built to metric standards and 7 of which are built to english standards. What is the probability that out of 3 taken, at least one is english standard engine?
The Big Triple at the local racetrack consists of picking the correct order of finish of the first three horses in the ninth race. If there are 12 horses entered in today's ninth race, how many Big Triple outcomes are possible?
The average value observed was 1.2 mg. If the sample variance is 0.04 mg, compute a 99% confidence interval for the mean nicotine content.
Regression equation to predict the dependent variable using multiple regression analysis:
A medical school claims that more than 28% of its students plan to go into general practice. It is found that among a random smaple of 130 of the school's students, 32% of them plan to go into general practice. Find the P-value for a test of the s..
When using SPSS to perform a 2 independent sample t-test, the P-Value was .136...with alpha set to .05. I have to decide to accept or reject the null hypothesis.
The selection is made at random so that the selection of any component is equally likely. What is the probability of drawing any faulty component if 3 different components are drawn?
Normal adult Mean Temperature is 98.2 and standard deviant is 0.62 with normal distribution. If 16 people are randomly selected determine the probability that their mean body temp is below 98.5 degrees.
Now consider the real numbers. In fact, lets narrow our focus way down to just the part of the real line between 0 and 1. Circle that part of the real line. How many real numbers are there in between 0 and 1? What can you conclude from all this?
Find the probability of a Type II error if in fact the mean waiting time is actually 9.8 minutes.
Calculate the test statistic, and interpret the result, calculate the p-value, and interpret the result and determine the rejection and non-rejection regions.
Given the following number of hours between breakdowns for 4 machines, are the machines significantly different? If so, how are they different? Which machine is the best?
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