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1) If a null hypothesis is rejected with a significance level of 0.05, is it also rejected with a significance level of 0.01? Why or why not?
2) You are the quality control manager at Mars, Inc and you want to prove the company's claim that 10% of all M & M candies are blue. Is it possible to prove that claim using methods of hypothesis testing? Why or Why not?
Estimate the area under the Normal Distribution from the mean to a z-score of -2.07. Estimate the z-score that corresponds to an area of 0.5557 under the Normal Distribution.
An airline owns an aging fleet of Boeing 737 jet airplanes. It is considering a major purchase of up to 17 new Boeing model 757 and 767 jets.
Research reports an F=ratio with df=3.36 from independent-measures research study. How many treatment conditions were reported in the study what was the total number of participants?
There are four conditions/requirements that must be met in order to perform simple linear regression. For each of the conditions below, choose the technique that should be used to determine whether or not that the condition is met.
Based on these results, is there significant difference between attitudes for males and for females? Use two tailed test with alpha = .05.
We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the alternate hypothesis?
A chemical process converts lead to gold. However, the production varies due to the powers of the alchemist. It is known that the process is normally distributed, with a standard deviation of 2.5 g. How many samples must be taken to be 90% certain..
The weight of the oranges, in pounds (1 pound = 16 ounces) is a random variable with standard deviation
Compute the suitable Test Statistic to test hypothesis that the proportion of condominiums that sold within 30 days decreased from 2006 to 2007.
Use a 0.01 significance level to test the claim that flights scheduled one day in advance cost more than flights scheduled 30 days in advance.
At times we can generate a regression equation to explain outcomes. For example, an employee's salary can often be explained by their pay grade, appraisal rating, education level, etc.
What is the probability that he will answer all questions correctly?
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