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I have one set of questions Problem set four that contains 7 questions and one quiz that normally contains10-12 and one exam that has about 20 questions on it. You have to do these in my Math lab on my profile.
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Week 5 Assignment
By definition the CI for proportion is given as; By substituting into the above defined formula, we have the 95% confidenc ...
Week 5 Assignment
By definition the CI for proportion is given as; By substituting into the above defined formula, we have the 95% confidence interval for the
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of ho ...
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of hours you sleep, how many gallons of gas are in your car when you get into it, how many boxes of cereal are in your house, how many days between grocery shopping, etc. (just make sure it takes only integer values). Try to list all of the possible values that this discrete random variable can take. If you can, collect some frequency data – give the relative frequency table and use this as an estimate of the probability distribution. Calculate the expected value and the standard deviation for this probability distribution. Interpret these parameters, and discuss whether they make sense based on your experience.
4-1 Data Set Homework: Correlation and Regression on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company ...
4-1 Data Set Homework: Correlation and Regression on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel's Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results.
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Most Popular Content
4 pages
Week 5 Assignment
By definition the CI for proportion is given as; By substituting into the above defined formula, we have the 95% confidenc ...
Week 5 Assignment
By definition the CI for proportion is given as; By substituting into the above defined formula, we have the 95% confidence interval for the
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of ho ...
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of hours you sleep, how many gallons of gas are in your car when you get into it, how many boxes of cereal are in your house, how many days between grocery shopping, etc. (just make sure it takes only integer values). Try to list all of the possible values that this discrete random variable can take. If you can, collect some frequency data – give the relative frequency table and use this as an estimate of the probability distribution. Calculate the expected value and the standard deviation for this probability distribution. Interpret these parameters, and discuss whether they make sense based on your experience.
4-1 Data Set Homework: Correlation and Regression on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company ...
4-1 Data Set Homework: Correlation and Regression on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel's Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results.
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