School

York UniversityDepartment

Health StudiesCourse Code

HLST 2300Professor

Hannah WongStudy Guide

FinalThis

**preview**shows pages 1-2. to view the full**8 pages of the document.**1. Given the below output, calculate the IQR:

2. Given the below data, fill in the table

Variable

Measure (nominal, ordinal, scale)

PT_ID

Gender

Age

Education_Level

Favourite_Colour

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3. Transform > Recode into Different Variables allows you to:

a) Combine categorical variables

b) Compute a new variable that is the difference between the values of two existing variables

c) All of the above

d) None of the above

4. Analyze > Descriptive Statistics > Crosstabs allows you to:

a) Create a pivot table

b) Introduce layers into your table

c) Rearrange the information in a table in a variety of ways

d) All of the above

5. The below table describes

a) Measures of central tendency

b) Measures of deviation

c) Measures of deviation from normality

d) All of the above

6. The percentage of observations that lie above a particular category in a data set can be

identified from a frequency table in the column identified as:

a) Frequency

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b) Percent

c) Valid percent

d) Cumulative percent

7. For the below frequency table, the valid percent for category ‘<= 2’ is:

a) 34 / 1048

b) 34 / 261

c) 34 / 787

d) 34

8. When you have two (or more) groups of participants and you want descriptive statistics for

individual groups, which of the following would you use?

a) Analyze > Descriptive Statistics > Frequencies

b) Analyze > Descriptive Statistics > Descriptives

c) Analyze > Descriptive Statistics > Explore

d) Analyze > Descriptive Statistics > Crosstabs

9. The below bar graph was generated using:

a) Clustered, Summaries for groups of cases

b) Clustered, Summaries of separate variables

c) Stacked, Summaries for groups of cases

d) Stacked, Summaries of separate variables

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