NAME: ________________________

# ← Stat Lecture 1Test

### Question Limit

of 21 available terms

### 5 Matching Questions

1. Types of Data
Data Type
2. Skewness
3. Presentation of data
Type of variable - Summary measures to be presented
4. Need for Statistics
5. Graphical Presentation- Pie Chart
1. a - Skew right: positive skew
- Skewed left: negative skew
- Not too much skewed: Mean is better
- Highly skewed: Median is better
2. b - Continuous variables: mean + Std deviation
- Continuous variables: Median (interquartile range)
- Ordinal Variables: Median (range)
- Nominal Variables: Frequency (percentage)
3. c - For nominal (categorical) variables
- Each slice is proportional to the percentage of the category it represents
4. d - Nominal: Named category without order
- Ordinal: Category with order, without equal interval
- Interval: Category with equal interval without meaningful zero
- Ratio: Category with meaningful zero
5. e - To deal with the variability
in nature.
- To describe, explain, and
interpret the given
information or data.

### 5 Multiple Choice Questions

Norman & Streiner, page 26
2. - Relationship and comparisons are visual
- Not as daunting as table of numbers
- Allows some artistry and creativity
3. - Very different distributions can have the same mean value
- Range
- Interquartile range
- Variance
- Sample Variance
- Sample Standard deviation
4. Application of statistics to a wide range of topics in biology.
5. - For continuous variables
- Each bar corresponds to a particular class interva
- The height of the bar denotes the total frequency of occurrence of the values falling within those respective intervals

### 5 True/False Questions

1. Summarizing Data- Vertical axis does not start from zero in the left graph
- Vertical scale does not go up in even steps in the left graph
- No scale on the vertical axis, providing a wrong perspective

2. Graphical Presentation- Bar Graph- For discrete variables
- Each value is represented by a bar
- The height of each bar denotes the frequency of occurrence of that value

3. VariableWhat is being observed or measured.

4. StatisticsBranch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data

5. Measure of Central Tendency- Mean
- Geometric mean
- Harmonic mean
- Median
- Mode
- Quartiles