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For a hypothesis comparing two population means, what is the critical value for a one-tailed hypothesis test, using a 5% level of significance level, with both sample sizes equal to 13? Assume the population standard deviations are equal.
a) 1.708
b) 1.711
c) 2.060
d) 2.064
Election officials take a random sample of 100 signatures and thoroughly investigate them to find that 84% are valid. Is this statistically significant evidence that the candidate has enough valid signatures overall? Explain.
a) Test whether there is a difference between attitudes in the 2 cities. Use a 95% alpha. b) What does your result say about attitude consistency across cities?
Based on your analysis, how is the new bottling process working?
A manufacturer of executive jet aircraft is concerned with its profit picture over the short run. It produces two different models of planes, x1 and x2. Its profits are $30,000 for each x1 and $20,000 for each x2. There are two major constraints o..
If Ashley Company accounts for the investment as a minority, passive and classifies the investment as an available-for-sale investment, Ashley will recognize what amount of 2010 income from the investment?
Use the normal distribution to approximate the desired probability. Find the probability that in 200 tosses of a fair die, we will obtain at exactly 30 faces.
If the decision in the hypothesis test of population correlation is to reject the null hypothesis, what can we conclude about the population correlation.
What is the difference between expected value and mean? In other words, what would be difference between the expected value of something, as opposed to the mean of that something? And how do I know when I should be finding the expected value and n..
How does multilinear regression analysis apply to your profession? Specify the dependent value and the set of predictors. Where would you get the data?
Calculate a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49. Change the number from 49 to 16 and recalculate the confidence interval. Using results, explain the effect of an outlier or extreme ..
The time (in hours) until failure of a transistor is a random variable X which is exponentially distributed with mean = 50. It is observed that after 40 hours the transistor is still working. Find the conditional probability that X > 65.
(A) What is the probability that none of the components will fail ??? (B) What is the probability that at least one component will fail ???
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