Lesson ProgressPhase 3 of 6
Phase 3Guided Practice
Guided Practice: Descriptive Statistics: What Does Normal Look Like?

Extended practice with varied data and reduced scaffolding

📈 Guided Practice: Making Statistical Choices

Now you have the tools. Let's practice making decisions about which measure to use and what the results actually mean for the café's business.

Complication: When Outliers Change Everything

In the real world, data is rarely clean. Let's see what happens when we add one outlier to a typical dataset.

Compare these two scenarios

Weekends 1-7 (no outlier):

$480, $495, $510, $505, $490, $500, $515

Mean = $499.29

Median = $500

Difference: Only $0.71—nearly identical!

Weekends 1-8 (with outlier):

$480, $495, $510, $505, $490, $500, $515, $2,100

Mean = $636.88

Median = $502.50

Difference: $134.38—huge gap!

What does this mean for the café?

If Sarah uses the mean ($636.88) to plan inventory, she'll expect to sell $637 worth of goods every weekend—except NO weekend actually hit that number except the one special event. If she uses the median ($502.50), she gets a number that actually represents what most weekends are like.

🔱 Complication: Precision and Rounding

Real business data often involves decimals and rounding. How do we handle this in statistics?

Example: Daily traffic counts

125, 143, 132, 156, 128, 147, 139

Mean calculation:

Sum = 1,070

Count = 7

Mean = 1,070 Ă· 7 = 152.857...

Rounded: 153 customers/day

Median calculation:

Sorted: 125, 128, 132, 139, 143, 147, 156

Middle (4th): 139

Median = 139 customers/day

The mean (153) is slightly higher than the median (139). This slight right skew comes from the two higher values (156, 147) pulling the average up. For business planning, Sarah might use the median (139) as her "typical day" but note that most days range from 128-147.

Guided Practice: Which Measure Should You Use?

Practice deciding between mean and median based on the data characteristics.

Scenario A: Regular weekdays

Customer counts: 42, 45, 48, 51, 44, 46, 50, 43, 47, 49

Recommendation: Mean works well here—data is fairly symmetric, no extreme outliers.

Scenario B: Monthly catering orders

Orders in dollars: $2,500, $3,100, $2,800, $15,000, $2,900, $3,200

Recommendation: Median ($3,000) is better—the $15,000 outlier would skew the mean to $4,917.

Scenario C: Hourly tip amounts

Tips per hour ($): 12, 15, 18, 22, 25, 28, 32, 85

Recommendation: Median ($25) is better—the $85 tip (likely from a large party) distorts the mean.

Guided Practice: Making Statistical Decisions
Apply your understanding of when to use mean vs. median in real business scenarios.

1. You're analyzing café data for the past 8 weeks. The weekend sales are: $510, $520, $495, $505, $500, $515, $505, $3,200. The owner asks: 'What's a typical weekend?' What measure of center would you recommend and why?

2. A different café reports these daily sandwich sales for a week: $120, $125, $130, $135, $140, $145, $500. The mean is $185, median is $135. Which is more useful for ordering inventory?

3. The campus café wants to know if their weekend revenue is consistent enough to predict next month's supplies. What additional measure would help them most?

0 of 3 questions answered