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A random sample of n1 = 157 people ages 16 to 19 were taken from the island of Oahu, Hawaii, and 8 were found to be high school dropouts. Another random sample of n2 = 138 people ages 16 to 19 were taken from Sweetwater County, Wyoming, and 11 were found to be high school dropouts. Do these data indicate that the population proportion of high school dropouts on Oahu is different (either way) from that of Sweetwater County? Use a 1% level of significance.
a) What is the level of significance?
b) What is the value of the sample test statistic? (Test the difference p1 - p2. Do not use rounded values. Round your final answer to two decimal places.)
c) Find (or estimate) the P-value. (Round your answer to four decimal places.)
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the decision rule.
Use either Linear Programming module or Transportation module of Cd to minimize the shipping costs involved in move.
Create a 95% confidence interval for true mean debt for student borrowers.
Write the null and alternative hypotheses for testing if participants and non-participants differ in level of problem behavior (Y).
Use this information to construct a probability table, and then calculate each of the following probabilities:
Jim and Mike go to a coffee shop during their lunch break and toss a coin to see who will pay. The probability that Mike will pay three days in a row is 0.125.
Two events are mutually exclusive: If their intersection is 1, If they have no sample points in common.
The scores of college-bound senior men on the math part of the SAT followed a normal distribution with mean 527 and standard deviation 116.
Calculate p value? What is the critical value?
Assume that correlation coefficient between 2 variables is nearly zero. What does this say about relationship between them?
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? What is the p-value?
For thefts involving more than $1,000, there is an inverse relationship between the value of the goods stolen and the length of the prison sentence given to the thief.
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