Posted: September 6th, 2015
Question 1
Product | Grey cloth | White cloth | Stuffing | Labour |
Koala | 1.5 metres | 0.5 metres | 350gms | 1.75 hours |
Kangaroo | 1.0 metres | 1.0 metres | 400gms | 1.50 hours |
The company has a contractual agreement to produce a minimum of 3,000 toys per year. There must be at least 200 of each toy produced.
The production costs for the toys are:
Material | Cost |
Labour/hour | $9.50 |
Grey material/metre | $5.50 |
White material/metre | $8.50 |
Stuffing/100gms | $0.35 |
The company can only get a maximum of 5,000 metres of each material.
You wish to minimise the number of labour hours required to meet your contractual obligation.
Give the full mathematical model for this problem.
2.You are asked to analyze the results of a group of QMB students. You decide to summarise their assignment 2 and exam marks and comment on them. The data is found in the file QMB_Results.xlsx
(bWhether an observation is an outlier is a matter of judgement. One rule commonly used for identifying outliers is the so-called 1.5 × IQR rule. An observation is suspected to be an outlier if it is more than 1.5 × IQR below the first quartile Q1 or 1.5*IQR above the third quartile Q3.
Apply this rule to both distributions and identify suspected outliers (if any) by using the calculated amounts.
(c)You need to discuss which measures of location and dispersion should be used to describe these distributions? Give (brief) reasons. For each distribution you state which measures should be used giving reasons for your choices.
(d) You then write down and interpret the values of the summary measures you have chosen
Question 3
You then decide to investigate whether there is a linear relationship between the assignment 2 mark received and exam mark using QMB_RESULTS.xlsx. You wish to predict a person’s exam mark based upon their assignment 2 mark.
a.You produce a regression plot that includes the regression equation and the coefficient of determination.
Question 4
The following contingency table contains a breakdown of the age and gender of a sample of 100 South Australian general practitioners in 2013-2014.
Age | ||||||
<35 | 35-44 | 45-54 | >55 | Total | ||
Gender | Male | 5 | 15 | 20 | 24 | 64 |
Female | 5 | 13 | 12 | 6 | 36 | |
Total | 10 | 28 | 32 | 30 | 100 |
(a) Produce a stacked percentage bar chart using the data in this contingency table
(b) What is the probability that one randomly selected general practitioner is greater than 55 years old?
(cWhat is the probability that one randomly selected general practitioner is both a woman and 35-44 years
What is the probability that one randomly selected general practitioner is a woman or >55 years old?
(eWhat is the probability that one randomly selected general practitioner is a woman given she is 45-54 years old?
(f) Are the events Male and Age > 55 dependent? Give reasons for your answer.
Question 5
Suppose the average weekly earnings of a production worker in 2014 was $824.20. A researcher randomly selects 54 production workers and obtains a representative earnings statement for one week from each worker.
(a) If the current average weekly earnings of the workers keeps the same as that of 2014, find the probability that the researcher gets a sample average of greater than $850 out of the 54 workers? Assume that the population standard deviation is $33.90. Please include a diagram to illustrate your answer
(b) Assuming the resulting sample average of the 54 randomly selected workers is $832.69, construct the 90% confidence interval of the mean weekly earnings of the production worker today. Assume that the population standard deviation is $33.90. Interpret the meaning of the confidence interval.
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