(3) The beta parameter is the slope of the line between the predictor and outcome variables. A. TRUE B. FALSE
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(3) The beta parameter is the slope of the line between the predictor and outcome variables.
A. TRUE
B. FALSE
(4) One does not need to modify the coefficient of determination as more variables are added.
A. TRUE
B. FALSE
(5) While comparing the stunning data among six WHO regions, we need to create a dummy variable for who_regions because it is a categorical variable. We can apply the mean of 3.12 and the standard deviation of 0.56 for our
A.TRUE
B.FALSE
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- An analyst is conducting a hypothesis test to determine if the mean time spent on investment research is different from 3 hours per day. The test is performed at the 1% level of significance and uses a random sample of 64 portfolio managers, where the mean time spent on research is found to be 2.5 hours. The population standard deviation is 1.5 hours. What is the value of the test statistic in this case?A study conducted by the research department of a pharmaceutical company claims that the annual spending (per person) for prescription drugs for allergy relief, μ1 , is greater than or equal to the annual spending (per person) for non-prescription allergy relief medicine, μ2 . A health insurance company conducted an independent study and collected data from a random sample of 285 individuals for prescription allergy relief medicine. The sample mean is found to be 17.5 dollars/year, with a sample standard deviation of 4.8 dollars/year. They have also collected data for non-prescription allergy relief medicine. An independent random sample of 275 individuals yielded a sample mean of 18.5 dollars/year, and a sample standard deviation of 3.8 dollars/year. Since the sample size is quite large, it is assumed that the population standard deviation of the sales (per person) for prescription and non-prescription allergy relief medicine can be estimated by using the…A company claims that, the mean battery life of their cell phone is at least 5 hours and standard deviation of 0.5 hour. You inspect this claim and find that a random sample of 25 cell phone has a mean battery life of 4.8 hours.Is there enough evidence to reject the claim ate the level of significance a = 0.04?
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