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The test statistics in a right tailed test is z= 2.50. Also use a .05 significance level and state the conclusion about the null hypothesis (reject null hypothesis or fail to reject the null hypothsis)
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
You're responsible for planning parking needed for a new 256-unit apartment complex, and you're told to base the needs on the statistic 'average number of vehicles per household is 1.9'.
CAPM and Expected return. If the risk-free rate is 6 percent and the expected rate of return on the market portfolio is 14 percent, is a security with a beta of 1.25 and an expected rate of return of 16 percent overpriced or under priced?
A cereal manufacturer seeks to test their newest product against competitor's. A group of 100 children was asked to measure each brand, and then to express a preference.
Compute the range, variance, standard deviation, and coefficient of variation. Compute the Z scores. Are there any outliers?
Determine the rejection region for the test of Ho: (mean 1 - mean 2) > 2.43 Use a = 0.04. z >
An experiment ws designed to estimate the mean difference in weight gain for pigs fed ration A as compared with those fed ration B. Eight pairs of pigs were used. The pigs within each pair were littermates.
They are thinking of introducing a new flavour, maple-marshmallow Frumpies, and want to know whether children will prefer the new flavour to the old one. Design a completely randomized experiment to investigate this question.
Sketch a histogram of these data and give the modal class.
Explain finding value of test statistic and P-value also understand the result. At the .01 significance level can we compute that the mean fare has increased.
Create an research question, and then state the experimental and null hypotheses. Then, explain why null and alternative hypotheses have to be mutually exclusive. Finally, discuss how Type I and Type II errors are related to your hypotheses.
A random sample of 400 observations produced a sample proportion of 0.32. What is the standard error to construct a 99.5% confidence interval.
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