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A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. If you determine not to reject the null hypothesis what is your conclusion?
Drug sniffing dogs must be 95% accurate. A new dog is being tested and is right in 46 of 50 trials. Find a 95% confidence interval for the proportion of times the dog will be correct.
One measure of the overall sampling error in the entire distribution of sample means is the
Mean threshold values and standard deviations for the three groups are given below. Normal probability plots showed the three populations were well approximated by the Normal distribution.
Make your calculation supposing a two-sided two-sample t-test with a type I error (alpha) of 0.056
Determine the chance between 39% and 41% of registered voters in sample are Democrats.
Analysis of data sets assignment
Find a 90% confidence interval for the population mean weight of all such turtles.
Form the cumulative percentage distribution and plan a cumulative percentage polygon.
You sample a group of computers and use the sample statistics to calculate a 95% confidence interval of (-10.95, -1.5). This interval estimates the difference of (average boot time (HDD) - average boot time (SSD)). What can we conclude from this i..
Estimated the probability that among 75 randomly selected students, at least 20 of them score greater than 78.
Select the level of significance, and determine critical, ZCR value.
Test the given claim using the traditional method of hypothesis testing.
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