Stats 1900

1. How do food trucks affect local production possibilities curves for the restaurant meal industry? Explain your answer and provide a correctly drawn and labelled production possibilities diagram to illustrate your explanation.

This assignment is designed to be individual. Identical assignments will not be graded and automatically assigned a grade of zero.

Statistics Coursework Introduction = == == == ==

Blackheath Manufacturing Company, is a company that manufactures a single product named ¡§Great Heath.¡¨ The company recently hired a new cost accountant, Lee High, who intends to conduct a new cost analysis over a period of three production weeks. Lee wanted to better identify the fixed, variable, and semi-variable costs associated with production of ¡¥Great Heath.¡¦ Once these costs were categorized Lee could determine how this would effect the cost of goods sold. Lee could then develop what the break- even volume that could be generated from a changing volume of sales. The case shows the assumptions that Lee High made with respect to variable as versus fixed costs in determining the cost of goods sold per unit . Lee High

The VP of Operations of Cadman Foods faces the decision of having to allocate three million pounds of tomatoes to the production of canned whole tomatoes, tomato juice or tomato paste. Subsequent to that decision, the VP needs to determine whether to acquire 80,000 pounds of additional “A” quality tomatoes at $0.425 per pound. Bill Cooper, the Controller at Cadman Foods has recommended that Cadman produce the maximum quantity of canned whole tomatoes based on Dan Tuckers assessment of the tomato crop. By logical extrapolation, this would result in the remainder of the crop being allocated to the production

Have you ever thought about how retail stores determine when to hire and get rid of holiday help? One way to determine how much help is needed to support a peak in sales is the use of a scatter plot diagram. Scatter plot diagrams are typically several sets of data plotted on a graph to represent correlation; they are very helpful for statistical measuring. Companies

At 0%, there was an increase of 12.32% in the potato cylinders mass but at 2%, the potato cylinders mass decreased to -31.02%. At 5%, the potato cylinders mass decreased -26.65%. There is a negative correlation in the graph.

Try to imagine a line that connects the dots in your scatterplot. Is this an easy or difficult task? This task can help you determine the strength of the relationship between your two variables. If your variables have a strong relationship, it will be easy for your to imagine a line connecting all of the dots. For example, in our example scatterplots, the dots seem to go together to form a straight line. However, some scatterplots do not look like this. With some scatterplots, the dots are scattered about so

Information： Amount of incoming tomatoes: 3,000,000 pounds Grade A：20%×3,000,000 = 600,000 pounds Grade B：80%×3,000,000 = 2,400,000 pounds Product Selling Price Per Case Demand Forecast (Cases)(1) Pounds Per Case(2) Total weight in pounds(1)*(2)

The scatter plot of Credit balance ($) versus Size show that the slope of the 'best fit' line is upward (positive); this indicates that Credit balance varies directly with Size. As Size increases, Credit Balance also increases vice versa.

Losses in perishable foods product could considerably impact the company’s results of operation, the company’s stores

1. There is a fruit seller who 30 kilo of apples has sold, and he wants to fix a price so that all apples are sold. There are three customers in the market and their individual demand functions are listed below:

Product Direct material ($) Direct labour ($) Volume (units) Number of production runs Number of machine hours X 800 150 10 2 30 Y 2,000 500 100 8 100 Total overhead ($) Machine-run costs ($) (cost driver is number of machine hours) 3,900 Set-up costs ($) (cost driver is number of production runs) 11,500

5. Error bars provide a) a measure of what within samples around a mean or medial value, why are they useful? c) What are two factors that can influence variability in the samples? d) Also in the two plots (below) identify where there are likely to be real statistical differences between samples. (4 points)

The data collected has been analysed and presented in form of tables and graphs under Results in Chapter 4 on page #. Statistical tools such as correlation, standard deviation etc. were also employed.