Quiz – Math 1, Unit 5, Section C

Quiz: Unit 5, Section C – Measures of Central Tendency and Dispersion

1. What is the formula for calculating the mean of a dataset?
   1. Mean = (Maximum Value + Minimum Value) / 2
   2. Mean = (Sum of all data values) / (Number of data points)
   3. Mean = (First Quartile – Third Quartile) / 2
   4. Mean = (Sum of the two middle values) / 2
2. Which measure of central tendency is most affected by outliers?
   1. Mean
   2. Median
   3. Mode
   4. Range
3. What is the interquartile range (IQR) of a dataset?
   1. The difference between the maximum and minimum values
   2. The sum of the first and third quartiles
   3. The difference between the third quartile and the first quartile
   4. The average of all data points
4. How do you calculate the median of a dataset with an even number of values?
   1. Find the middle value directly
   2. Average the two middle values
   3. Select the most frequent value
   4. Divide the total by the number of values
5. Which of the following is NOT a type of data distribution?
   1. Normal Distribution
   2. Uniform Distribution
   3. Skewed Distribution
   4. Non-linear Distribution
6. In a bimodal distribution, what is observed?
   1. A single peak
   2. Two distinct peaks
   3. A flat distribution
   4. A skewed tail
7. Which tool is typically used to calculate measures of central tendency quickly?
   1. Graphing software
   2. Statistical calculators
   3. Text editors
   4. Image processors
8. What is the main advantage of using the median over the mean?
   1. The median is easier to calculate
   2. The median is unaffected by outliers
   3. The median represents the most frequent value
   4. The median provides the range of data
9. Which measure of central tendency is used to find the most common value in a dataset?
   1. Mean
   2. Median
   3. Mode
   4. Range
10. What does the range of a dataset represent?
    1. The difference between the first and third quartiles
    2. The difference between the maximum and minimum values
    3. The average of all data points
    4. The sum of all data points