You have been asked to analyse some data using SPSS. Your boss hands you a sheaf of sheets with data records relating to panic disorder and anxiety of 26 people. This data is in the file “Input data for portfolio”. You have three tasks to do on this data…
Task 1:
Construct an SPSS data file for the data you have been given. Design a suitable file, using labels, values, etc. and enter the data into it. Make sure the data types and measures are correct for all the data recorded.
For each respondent, calculate the BMI (Body Mass Index) by dividing the weight by the height squared (BMI=weight/height2). For this, you need to create a new variable for the BMI and automatically calculate the values (using Transform -> Compute variable option in the SPSS menu).
Task2:
Using the SPSS data file you created, do the following analysis…
Produce a summary of the frequencies of each gender and age groups in the sample.
Produce a cross-tabulation of age group and gender.
Draw a histogram of the heights of the males.
Draw an appropriate graph showing the frequency distribution of the age groups, by gender.
Draw a scatterplot of height (as the independent variable) against weight (as the dependent variable) for the whole sample.
Task 3:
Your boss has some hypotheses that she wants you to investigate. Perform the appropriate tests and summarise the conclusion to each hypothesis.
Null hypothesis: Those who have a diagnosis of panic disorder have a similar Zung Anxiety score to those who have not.
Question: Is there a correlation between BMI and Zung Anxiety score?
Null hypothesis: There is no difference in mean BMI between the men and women.
Null hypothesis: Those aged under 45 years are no more or less likely to have been diagnosed with a panic disorder as those aged 45 or over.

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