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```Jeopardy
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
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Final Jeopardy
1 - \$100
•Name the W’s
•Who, What, When, Where, Why, How
1 - \$200

What are the 2 types of variables discussed in
chapter 1?

Categorical and quantitative
1 - \$300

What is the difference between categorical and
quantitative data?

Categorical – categories.. Quantitative – can be
measured in units
1 - \$400

The class is given a survey asking for: gender,
number of siblings, and number of states visited.
What are the variables and what type of variable
are they?

Gender – Categorical….. Siblings – Quantitative
…. States - Quantitative
1 - \$500

Dr. Engle distributed a survey (on paper) to all
High School to find out how students got to &
from school (car, walk, bike, bus). What ‘w’ is
missing?

When
2 - \$100

What graphs best display categorical data?

Pie graph, bar graph, segmented bar graph
2 - \$200

What is the difference between a frequency
table and a relative frequency table?

Relative frequency shows percent compared to
the group, frequency shows count number
2 - \$300

Find the marginal distribution of survival rate
Alive – 711/2201 = 32.2%
 Dead – 1490/2201 = 67.7%

2 - \$400

Find the conditional distribution of classes that
survived.
1st – 203/711 = 28.55% 2nd – 118/711 = 16.6%
 3rd – 178/711 = 25.03%
 Crew– 212/711 = 29.82%

2 - \$500

What percent of the crew were survivors?

212/885 = 23.95%
3 - \$100

What graphs best display quantitative data?

Histogram, stem and leaf, dot plot, box and
whisker
3 - \$200

What 5 numbers are used in the box plot?

5 number summary – Min, Q1, Median, Q3, Max
3 - \$300
 What is the benefit of using stem and leaf
over a histogram?

Stem and leaf preserve the individual data
values, histograms show ranges
3 - \$400

What 4 things do we discuss when describing a
distribution?

3 - \$500

What would be the appropriate measure of
center and spread for the following graph? Why?

Median and IQR ; outliers present
4 - \$100

What measure of center and spread will be
effected by outliers?

Mean and Standard deviation
4 - \$200

Which boxplot has
the higher median?
What is it?

Set A, 11
4 - \$300

Which boxplot has a
larger IQR? What is it?

Set B, 6
4 - \$400

How can we use calculations to see if there are
any outliers?
Q1 – 1.5(IQR) = Lower fence
 Q3 + 1.5(IQR) = Upper fence
 Anything outside of these fences = outlier

4 - \$500

Does this set of data have any outliers?

Min: 0 Q1: 9 Med: 13

No, all values fall between the fences
Q3: 17
Max:28
5 - \$100

What two things do we look for when deciding if
we can use a normal model?

Symmetric, unimodal, outliers
5 - \$200

What % make up the rule for the normal model,
and how many standard deviations away from
the mean do you need to go for each?
68% – 1 st dev both directions
 95% - 2 st dev away both directions
 99.7% - 3 st dev away both directions

5 - \$300

When given a normal model, find P ( z < 0.8 )

0.788 or 78.8%
5 - \$400

What is the z score of the 43rd percentile under
the normal curve?

Z = -.176
5 - \$500
Test 1: mean = 87.5 s = 3
 Test 2: mean = 91.0 s = 2.5
 Joe made a 90 on test 1 and a 92 on test 2.
Which test did he do “better” on? Give both z
scores for proof.

Test 1: z = .8
Test 2: z = .4
 Joe was more successful than the class average
by .8 standard deviations on test 1, so he did
“better” on test 1.

Final Jeopardy

Given the normal model below, what z scores
hold the middle 50% of the data? Hint: think
IQR

-0.67 < z < 0.67
```
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