## Calculate This Scenario

If I have two Products (Product A and Product B) and I want to ship these products to customers as follows:Product A (# of units: 4000)Product B (# of units: 4000)The products must be shipped through using Pallets.Each Pallet can hold 1000 units of Products A or 2000 units of Product B.Transportation cost for both Products (A and B) is the same. \$1 dollar per pallet.Question: How many pallets I need to ship theses products? What is the final price the customer must for shipment?

## Probability Concepts

CHAPTER 5: A SURVEY OF PROBABILITY CONCEPTSVideo #29: How to build a contingency table with Pivot table (Length: 3:40)Video #30: How to use Permut and Combin formulas (3:47)Video #31: How to apply Bayes Theorem (Length: 4:33CHAPTER 6: DISCRETE PROBABILITY DISTRIBUTIONSVideo #32: How to build and graph discrete probability distribution (Length: 3:36)Video #33: How to apply binomial distribution (Length: 4:48)Video #34: How to apply hypergeometric distribution (Length: 4:41)Video #35: How to apply Poisson.dist (Length: 3:31)

## Regression Equation

Walden Attachment – Looking at the Excel output, and the Regression Equation they wrote out, interpret the slope of their Regression Equation.  Use the Regression Equation to make a prediction and show the work for your predicted value based on your expression.   For Example, if the attachment used Year to predict Price, plug in a Year value into the regression equation and use it to predict the Price of a vehicle.  Does this predicted Price value make sense with their data? Jackson Attachment – It is important to remember that typically a two-factor regression model cannot accurately describe the entire situation. Look at the dependent variable on attachment. Name at least 2 independent factors you would use to run a Multiple Linear Regression (MLR) and explain why you feel they are related.  Then use those factors to run a Multiple Linear Regression (MLR) on the attached data and see if the variables you chose are related to the dependent variable they chose.  What is your MLR equation?  Is your MLR significant?  Are any of the Independent factors significant?  What is the R2 value?  Explain and interpret this value and how it relates to the MLR.  Make sure you include your MLR Excel output as an attachment in your response post.

## Math Problem

On Saturday, Ashley planned to make pancakes for breakfast. To make 1 ½ batch of pancakes, she needs 2 1/3   cups of flour. There are 5 ¼ cups of flour in the kitchen. How much flour was left after she made the pancakes? For more information on Math Problem read this: https://en.wikipedia.org/wiki/Mathematical_problem

## Correlation And Regression

If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI? Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable, and what was the independent variable(s)? Further, how would you use this study to highlight the difference between correlations and causation? For more information on Correlation And Regression read this: https://en.wikipedia.org/wiki/Multiple_correlation

## Math Essay

What does ‘doing mathematics ethically’ mean to you?  For more information on Math Essay read this: https://en.wikipedia.org/w/index.php?search=Math+Essay&title=Special%3ASearch&go=Go&ns0=

## Statistical Inference

Suppose that there are two candidates in the upcoming presidential election, candidate A and candidate B. Sara note that she has discussed the presidential election candidates with 15 friends, and 10 said that they are voting for candidate A. Sara is therefore convinced that candidate A will win the election because A gets more than 50 percent of votes. Answer the following questions in a Word document and submit: Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion? Why or why not? How many friend samples Sara should have in order to draw the conclusion with a 95 percent confidence interval? Why? How would you explain your conclusion to Sara without using any statistical jargon? Why? For more information on Statistical Inference read this: https://en.wikipedia.org/wiki/Statistical_inference