1. EITHER

Find a published example of a good graph or a good table. Copy it into your answers and describe why you believe it is a good graph or a good table.

OR

Find a published example of a bad graph or a bad table. Copy it into your answers and describe why you believe it is a bad graph or a bad table.

Note: You only need to find and describe 1 table or 1 graph. Do not look for this table or graph in a website or article about good and bad graphing. I want you to find such a graph or table yourself and describe why it is good or bad in your own words. Do not forget to include a correct citation for the table or graph in your answer.

Hint: Government websites or reports and newspaper or magazine articles may provide examples of both good and bad data presentation. (4 marks)

 

2. In this unit we make extensive use of a data set from the Framingham Study. This data set includes a variable for attained education (called educ) and a variable for diastolic blood pressure (called diabp). For each of these variables, identify the variable type (quantitative-continuous, quantitative-discrete, categorical-nominal, categorical-ordinal). (2 marks)

3. A study collected weight in kilograms for 50 men in a study of male obesity. The results of a summarize command and a histogram of the data are presented below.

 

• What is the probability that a man chosen at random from this sample will have a weight less than 60 kilograms – express as a percentage to 1 decimal place? (1 mark

• Is this data set left skewed, symmetric or right skewed? (1 mark)

• Give the values of an appropriate measure of location and spread (mean and standard deviation or median and interquartile range) – express in kilograms to 1 decimal place?
  (2 marks)

 

• Is this data set likely to be normally distributed?

 

• What key piece of information is missing from this graph? (1 mark)

 

4. In this unit we have considered three key strategies for selecting a sample from a population—simple random sampling, clustered sampling and stratified sampling. Read each of the following study descriptions and identify which of these is the most appropriate sampling strategy and say why.

• You wish to study safety standards in commercial fishing companies. You have a list of those fishing companies which have chosen to be members of a national association of commercial fishing companies (not all fishing companies choose to join this organisation). You suspect that large fishing companies will have stricter safety standards than small fishing companies. Your list of fishing companies includes a measure of the size of each company and the company’s address. You decide to select your sample from the list of the national association’s members. You will distribute a questionnaire to your sample by mail. (2 marks)

 

• You wish to study safety standards in commercial fishing companies as outlined in part 3(a), but you have decided that the size of the company is not related to their safety standards, so you will choose your sample irrespective of the company size. However, you wish to send an interviewer to collect data in person from each company at the company’s main address. Each fishing company has a single main address located in one of the coastal towns along the Australian coast. Each Australian coastal town contains the main address of more than one fishing company. (2 marks)

• You have selected a specific part of a fishing company for closer study. This is the part of the factory where the fish are processed prior to transport to the fish markets. You have a full list of employees who work in this part of the factory, but they are all on the same pay scale and are listed as having the same job type and the list gives you no other information about them. You will select a sample of these employees from this list. (2 marks)

5. For the survey of fishing companies described in question 4a, what is the target population and what is the sampling frame? (1 mark)

How could the use of this sampling frame and target population contribute to bias in the sample? (1 mark)

 

 

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