Review the key concepts, formulae, and examples before starting your quiz.
đConcepts
Comparing datasets using measures of central tendency (Mean, Median, Mode) to describe the 'average' or 'typical' value.
Using the Range to describe the spread or consistency of data; a smaller range indicates more consistent results.
Identifying and discussing outliersâvalues that are significantly higher or lower than the rest of the dataâand their impact on the mean.
Interpreting trends and patterns from statistical diagrams such as bar charts, pie charts, and line graphs.
Comparing experimental probability (relative frequency) with theoretical probability, noting that results often get closer to theoretical values as the number of trials increases.
Drawing conclusions about a population based on a sample while considering potential bias.
đFormulae
(Sum of values divided by the number of values)
đĄExamples
Problem 1:
Class A has test scores: 15, 16, 17, 18, 19. Class B has test scores: 10, 15, 17, 19, 24. Both have a mean of 17. Which class is more consistent?
Solution:
Class A is more consistent.
Explanation:
To check consistency, we calculate the range. Range A = . Range B = . Since Class A has a much smaller range, the scores are closer to the mean and therefore more consistent.
Problem 2:
A set of data is: 4, 5, 5, 6, 7, 35. Which measure of central tendency (Mean or Median) best represents this data?
Solution:
The Median.
Explanation:
The value 35 is an outlier. The mean is , which is higher than 5 out of the 6 values. The median is 5.5. The median is a better representation because it is not affected by the extreme outlier.
Problem 3:
A coin is flipped 50 times and lands on Heads 30 times. What is the relative frequency of landing on Heads, and how does it compare to the theoretical probability?
Solution:
Relative Frequency = 0.6; Theoretical Probability = 0.5.
Explanation:
The relative frequency is . The theoretical probability of a fair coin is . The difference occurs due to chance in a small sample; if we flipped the coin 1000 times, we would expect the relative frequency to move closer to 0.5.