1. (24 points)
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Doug Moodie is the president of Garden Products Limited. Over the last 5 years, his vice president of marketing has been providing the sales forecast using his special “focus” forecasting technique. The actual sales for the past ten years and the forecasts from the vice president of marketing are given below.
|Year |Sales |VP/Marketing Forecast |
|1 |170,300 |-- |
|2
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What must the productivity be to achieve this production output?
650/20 = 32.50 boxes per hour
e) If the company believes that to be competitive if it is to produce 650 wooden boxes, the company must reach a productivity measure of 40 boxes per hour. What are the maximum hours a day the company can work?
650/x = 40
X = 16.25 hours
3. (19 points)
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Students in a science class have just received their grades on the first test. The instructor has provided information about the first test grades in some previous classes as well as the final average for the same students. Some of these grades have been sampled and are as follows:
Student |1 |2 |3 |4 |5 |6 |7 |8 |9 | |1st Test Grade |98 |77 |88 |80 |96 |61 |66 |95 |69 | |Final Average |93 |78 |84 |73 |84 |64 |64 |95 |76 | |You are also provided the results from several different linear regression relationships for the above data. These provide different regression relationships looking at different combination of independent and dependent variables.
[pic]a) Develop a linear regression model that can be used to predict the final course average based on the first test grade.
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b) Predict the final average of a student who made an 83 on the first test.
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c) Would you recommend using this relationship for forecasting the final averages? Why? Also, explain how strong the relationship is between these two
3. The distribution of undergraduate grade point averages at a large university is approximately normal with a mean of 2.8 and a standard deviation of 0.4.
Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:
(1) A study of the number of cars sold looked at the number of cars sold at 500
Short Answer Writing Assignment – Both the calculated binomial probabilities and the descriptive statistics from the class database will be used to answer the following questions.
The data have information from two courses taught during the 2014/15 academic years with a combined enrollment of 76 students. These courses have a similar structure in that they met on Monday, Wednesday and Friday for 10 weeks and they both require students to complete online quizzes prior to each class. In addition, the final grade of both courses is composed of operating grades, midterms, and final exams. That is, there will be more than one factor to affect the final grade in these courses. In order to protect students, all students are shown in the database as ID number instead of their real names.
Proportion of all business students at Rocky University who were not involved in some type of cheating, are as follows: p1 = 0.1 (9/90).
1. For the following scores, find the mean, median, and the mode. Which would be the most appropriate measure for this data set?
It sounds like using the stratified random sampling would be a good choice for using a particular group of people. In stratified random sampling the individuals conducting the research know some things about the community that is providing date such as age, gender, ethnicity, and medical diagnosis. This is also a good option when there is a time restraint to obtain the information that is being gathered. The survey would also have to be ensured it is written in a way that the average person can clearly understand the question to get a proper answer.
The student data file was used as the data source. The sample size included one hundred men and one hundred women. Thirty-five out of one hundred men had not declared for a degree. Fifteen out of one hundred women had not declared for a degree. The level of
A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Using = .05, what is the value the test statistic?
The correlation between the report results and the final exam results in not over whelming storage. The trend line in the graph can be seen as slopping upward from left to right showing that. It can be seen that the majority of students that achieved well on the report also achieved well on the exam
d) If Tyler is estimating a gross profit margin, or contribution margin, of 40 percent, how much of the receivables balance must actually
Why does the sampling distribution of the mean follow a normal distribution for a large enough sample size, even though the population may not be normally distributed?
Regression analysis involves finding a relationship between a response variable and a number of explanatory variables. For a sample number t, with p explanatory
(ii) AP = CQ 24. The following table gives the distribution of students of two sections according to the mark obtained by them: Section A Marks 0 − 10 10 − 20 20 − 30 30 − 40 40 − 50 Frequency 3 9 17 12 9 Section B Marks 0 − 10 10 − 20 20 − 30 30 − 40 40 − 50 Frequency 5 19 15 10 1