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Day 4 5# Summary Daily Grade cloned 9/15/2020

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Last updated almost 5 years ago
18 questions
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Question 1
1.

Question 2
2.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


How many cities were studied?

Question 3
3.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


What is the median value for # injuries due to distracted driving per month? (just give the two digit number)

Question 4
4.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


1. Enter the data into List 1 of your TI-84 Calculator (or app on the Chromebook). Use 'Stat' 'Edit'

2. Calculate the 5# summary for the data using 'Stat' 'Calc' '1-VarStats', make sure the correct list is being used & frequency is blank.

3. Give the min, Q1, median, Q3 and max values.

Use the format: Min:space 23 space Q1: space 25 space Med: space 27 space Q3: space 29 space Max: space 31
I will be checking and giving points if the Go-Formative counts it incorrect.
Just use the two digit numbers (leave out the 'thousand injuries due to distracted driving')

Question 5
5.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, 50% of the cities had less than how many injuries?

Question 6
6.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, 75% of the cities had less than how many injuries?

Question 7
7.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, 75% of the cities had more than how many injuries?

Question 8
8.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, what % of the cities had between 62,000 and 84,000 injuries?

Question 9
9.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, what % of the cities had between 62,000 and 99,000 injuries?

Question 10
10.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Using the 5# summary from #3, what is the IQR for the distracted driving injuries?
(Hint: IQR= Q3 - Q1)

Question 11
11.

Use the data below on some US President’s ages at inauguration.

How many US presidents are part of this group?

Question 12
12.

Use the data below on some US President’s ages at inauguration.

1. Using your TI-84 Calculator, clear list 1 (cursor over L1, clear, enter)

2. Enter the data into List 1 of your TI-84 Calculator (or app on the Chromebook).
Use 'Stat' 'Edit' make sure you have 22 entries.

3. Calculate the 5# summary for the data using 'Stat' 'Calc' '1-VarStats', make sure the correct list is being used & frequency is blank.

4. Give the min, Q1, median, Q3 and max values.

Use the format: Min:space 23 space Q1: space 25 space Med: space 27 space Q3: space 29 space Max: space 31
I will be checking and giving points if the Go-Formative counts it incorrect.
Use decimals if needed, no units

Question 13
13.

Use the data below on some US President’s ages at inauguration.

What is the IQR for this data distribution? (Hint: IQR= Q3 - Q1)

Question 14
14.

Question 15
15.

Use the data below on some US President’s ages at inauguration.

Using the 5# summary calculated for Question #12, 25% of the presidents were younger than this age at inauguration.

Question 16
16.

Use the data below on some US President’s ages at inauguration.

Using the 5# summary calculated for Question #12, 25% of the presidents were older than this age at inauguration.

Question 17
17.

Question 18
18.

Below is a stem plot of injuries due to distracted driving per month for different cities in the U.S.


Describe the data distribution, make sure you CUSS & BS about it!
Chose 4 answers.
Symmetric and uniform
Symmetric and bimodal
Symmetric and unimodal
Skewed right and unimodal
Skewed right and bimodal
Skewed left and uniform
Skewed left and bimodal
Spread of 8 to 9 thousand injuries due to distracted driving
Spread of 38 to 99 thousand injuries due to distracted driving
Spread of 38 to 91 thousand injuries due to distracted driving
Center at about 61 thousand injuries due to distracted driving
Center at about 71 thousand injuries due to distracted driving
Nothing unusual
Outier at 38 thousand injuries due to distracted driving
Use the data below on some US President’s ages at inauguration.

What does the IQR mean for this data? Remember to BS about it! (select 2 correct answers)
The top 50% of presidents' ages had a range of 12 yrs
The bottom 50% of presidents' ages had a range of 12 yrs
The middle 50% of presidents' ages had a range of 12 yrs
The middle 50% of the data has a range of 12 units
The top 50% of the data has a range of 12 units
The bottom 50% of the data has a range of 12 units
Use the data below on some US President’s ages at inauguration.

Describe the data distribution, CUSS & BS about it!
Select all that apply (4 correct answers)
Unimodal and symmetric
Unimodal and skewed left
Bimodal and symmetric
Bimodal and skewed left
Unimodal and skewed right
Bimodal and skewed right
Spread of 26 years
Spread of 27 years
Spread of 42 to 68 years
Nothing unusual
Possible outlier at 42 years
Possible outlier at 69 years
Possible outlier at 68 years
The boxplot below represents data collected on the number of pounds a group of puppies gained in their first year.


What can you tell from this boxplot?
Select all that apply, there are 6 correct answers
The middle 50% of the puppies gained from about 12 to 14 pounds.
The middle 50% of the puppies gained from 8.5 to 14 pounds.
The bottom 25% of the puppies gained from about 4.5 to 8.5 pounds.
There does not appear to be an outlier.
The bottom 25% of the puppies gained from about 8.5 to 14 pounds.
75% of the puppies gained more than 8.5 pounds.
The median appears to be at about 14 pounds.
The median appears to be at 12 pounds.
The IQR is about 5.5 pounds