Univariate Analysis

2. Identifying individuals, variables and categorical
variables in a data set
Millions of Americans rely on caffeine to get them up in the morning. Here’s
nutritional data on some popular drinks at Ben’s Beans Coffee Shop:
The individuals in the dataset are?
The dataset contains how many variables?
Drink Type Calories Sugars (g) Caffeine (mg)
Brewed Coffee Hot 4 0 260
Café Mocha Hot 100 14 95
Café latte Hot 170 15 75
Cappuccino Hot 60 27 75
Iced Brewed Coffee Cold 60 8 120
Chai latte Hot 120 25 60

3. The school counselor needs to meet with students who
have more than three absences. Here is some of the data
about the students.
• The individuals in this data set are ?
 Students
 School Counselor
 Homeroom Teachers
• This data set contains ?
 2 variables, 1 of which is quantitative
 2 variables, 2 of which is quantitative
 5 variables, 1 of which is quantitative
 5 variables, 3 of which is quantitative

4. Bar Graph
What was the median score for the
Final exam?
What is the midrange of the midterm
scores?
What was the average student score for
the final exam?
What was the mode for the final exam
score?
What is the range of the midterm
scores?

5. Median score for the final exam : 75 80 100 100 100
Midrange of the midterm scores: 80
90 90 60 100 80
Max. Mark = 100 Min. Mark = 60 (100+60)/2 80
Average student score for the final exam: 91
(75+80+100+100+100)/5
Mode for the final exam score: 100
75 80 100 100 100 -------- Common Score ---100
Range of the midterm scores: 40
Max. Mark = 100 Min. Mark = 60 100-60 40

6. For the past year, a travel agency has collected data
about the number of individual tickets that it sells for
signature product: a Mediterranean cruise.
The monthly data on the
ticket sales is shown below.
What are the best and worst?

7. Histogram
A histogram displays numerical data by grouping data into "bins" of equal width.
Each bin is plotted as a bar whose height corresponds to how many data points are
in that bin.
Bins are also sometimes called "intervals", "classes", or "buckets".

8. Histogram
Age: 1, 3, 27, 32, 5, 63, 26, 25, 18, 16, 4, 45, 29, 19, 22, 51, 58, 9, 42, 6
Bin No
0-9 6
10-19 3
20-29 5
30-39 1
40-49 2
50-59 2
60-69 1

9. Histogram
1, 4, 2, 1, 0, 2, 1, 0, 1, 2, 1, 0, 0, 2, 2, 3, 1, 1, 3, 6
1
1
1 2
0 1 2
0 1 2
0 1 2 3
0 1 2 3 4 5 6
------------------------------------------------------------------
4 7 5 2 1 0 1

10. Shape of the distribution

11. Clusters, Gaps, Peaks and Outliers

12. Clusters, Gaps, Peaks and Outliers

13. Select all that apply
• The distribution has an outlier
• The distribution has a cluster
from 0 to 39 guests
• None of the above
Clusters, Gaps, Peaks and Outliers