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Lesson 1: Measures of Variability
• Variability - How spread out or scattered the data is.
• Range - Difference between Highest and Lowest
• Mean - Average
• Median - Middle Value
• Mode - Most Repeated
Range = Highest - Lowest
Mean Deviation - Average of absolute differences between each value and the mean of the data.
Steps for Solving
Subtract the mean from each value
Take the absolute average
Find the average
Formula: 𝑀𝐷=∑|𝑥𝑖−𝑥̄|𝑛
Standard Deviation - How spread out the values in a data set are from the mean.
Steps for Solving
Find the mean
Subtract the mean from each value
Square each difference
Find the average
Formula: 𝜎=∑(𝑥𝑖−𝜇)2𝑁 for population data or 𝑠=∑(𝑥𝑖−𝑥̄)2𝑛−1 for sample data
Types of Graphs
Pie graph - percentages and proportions
Lesson 2: Probability
• Measure of expectation for an event to occur
P (E) = n (E)/n (S)
Types
• Theoretical - predicts the likelihood of an event based on mathematical reasoning and ideal conditions rather than actual experimentation.
TP = number of favorable outcomes/total number of possible outcomes
• Experimental - the likelihood of an event occurring based on actual data collected from experiments or trials.
EP = number of times an event occurs/total number of trials
Lesson 3: Fundamental Principles of Counting
• Multiplication Rule - The total number of possible outcomes for a series of events is calculated by multiplying the number of choices for each individual event.
Example: If you have 3 shirts, 2 pairs of pants, and 4 pairs of shoes, you can create 3×2×4=24 different outfits
• Addition Rule - It is used when you choose one option from multiple disjoint sets.
Example: A restaurant offers 5 different salads and 3 different soups. If you choose only one item (salad or soup), there are 5+3=8 total choices.