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Critically discuss understanding the normal distribution and the factors that affect its shape important in solving business and marketing-related questions? Explain with a simple example.
Marentette and El-Masri (2011) used logistic regression to identify predictors of obtaining seasonal influenza vaccination among hospital-based nurses in Canada. Their results are shown in table 1:
State the hypotheses for a right-tailed test.
Describe the types of probability -example of classical probability, empirical probability, or subjective probability.
Finding the probability of sample and describe the sampling distribution of the sample means.
Write the linear regression equation to forecast father's education from mother's education?
Calculate the paired sample t statistic for these mood scores and How has the relation between the mean and the median changed? What does this suggest about the distribution of the transformed data?
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.
Determine a 95% confidence interval for true mean cost to repair this type of car.
In the real world, given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject null hypothesis.
Either no change to the Objective function or a raise in the value of the objective function depends on the constraint.
Use the Standing data set to develop a point estimate of the number of minutes during an NFL game that players are standing around between plays. Round your answer to two decimal places. What is the sample standard deviation? Round your answer to ..
Stats Questions Set. Which of the following statements correctly compares the t -statistic to the z -score when creating a confidence interval?
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