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1. A multiple regression analysis includes 25 data points and 4 independent variables results in SST = 200 and SSR = 150. the multiple standard error of estimate will be?
2. A professor claimed that the proportions of grades in his classes are the same. A sample of 100 students showed the following frequencies:
grade A B C D Ffrequency 18 20 28 23 11
Compute the chi-square test statistic for this problem.
Employ the table of standard normal probabilities (z table) to answer the following questions.
Explain why the t distribution is used as a part of the confidence interval.
Similar survey of student population 10 years ago found that coffee shop was favoured by 20% of students, and pizza and hamburger were each preferred by 40% of the students. Determine the expected frequencies for chi-square test.
You are the principal of a large urban high school and wish to do a parent survey to determine how parents feel about same-sex classes.
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.
Does this sample prove a violation of the guideline that the average patient should pay no more than $250 out-of-pocket?
What is the point estimate of the proportion of the population of employees who strongly dislike their current work experience (to 2 decimals)?
At.05 significance level, can we conclude that larger proportion of the agents think the economy is expanding this month?
At 95% confidence using the critical value approach, determine if the proportion of females in the company is significantly less than 50%.
At the .05 significance level, can we conclude that the guideline is still reasonable?
Formulate a linear programming model for this problem.
Differentiate between descriptive statistics and inferential statistics. Provide an example for each. How does correlation analysis differ from regression analysis? What does a correlation coefficient reveal? Is correlation the same as causation?
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