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# Data Display Choices

## Associate data displays with appropriate conclusions.

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Data Display Choices

Did you know that women race in the Iditarod too?

Kelly wants to learn about the famous women who have raced in the Iditarod.

“There is a lot of talk about the men, but there must have been some famous women,” she said in class one day.

“Actually, that is a good point Kelly,” Mr. Hawkins said. “There is one famous woman in particular. Would you be willing to do some research and present some information on her?”

“I would,” Kelly said smiling.

“I’ll help,” Tabitha said from across the room.

“Alright, good and the rest of you can continue on your projects.”

Kelly and Tabitha got right to work. After looking up some information on the computer and in a few books on the Iditarod, they discovered that this famous woman was Susan Butcher. She was an amazing woman who won the Iditarod in four out of five years.

“Look, she even broke her own record,” Tabitha said.

“Yes, but she died in 2006 from leukemia. That is pretty sad.”

“It is,” Kelly said with a pause. “But she was very committed to her dogs and her racing. She even started a training facility. Her winning times seem slow compared with today, but they were very impressive then.”

“We can include that in our report. Let’s write down her finish times and make a graph to show them,” Tabitha suggested.

“That’s a great idea,” Kelly said smiling.

On a piece of paper the girls wrote down the following statistics.

1986 – 11 days 15 hours

1987 – 11 days 2 hours

1988 – 11 days 11 hours

1990 – 11 days 1 hour

“How are we going to display this? Which graph makes the most sense?” Kelly asked looking at Tabitha.

The girls are a bit stumped as to which visual display to create. To answer this question, you will have to think back over all of the types of data displays that you have learned about in the past few Concepts.

Pay attention and by the end of the Concept you will know how to choose one that will work.

### Guidance

When we look at different graphs, we can make conclusions based on the data that we see. Sometimes, you will be given a graph and a set of conclusions and you will need to analyze the data to choose the correct conclusion. This can be a bit tricky.

Keep the following points in mind:

1. What information does the data represent?
2. Is the graph misleading or is the information accurate?
3. What is being recorded or compared?

Let’s look at selecting the correct conclusion based on different data displays.

Use the information on the graph to answer the questions below.

The graph shows that between 1950 and 2000, the population increased approximately:

a. 5 billion

b. 3 billion

c. 3.5 billion

d. 4 billion

The answer is “c.” In the year 2000, the population was approximately 6.1 billion. In the year 1950, the population was approximately 2.5 billion. The difference between 6.1 and 2.5 billion is 3.6 billion.

The smallest increase in population was between the years:

a. 1750 – 1800

b. 1800 – 1850

c. 1850 – 1900

d. 1900 – 1050

The answer is “c.” During 1850 and 1900 the population only increased from 1.5 billion to 1.6 billion.

Let's look at another one.

The box-and-whisker plot depicts the number of minutes ten people exercise daily. Use the information on the box-and-whisker plot to answer the questions below.

The median amount of time spent exercising is:

a. 10 minutes

b. 30 minutes

c. 70 minutes

d. 74 minutes

The answer is “b.” 30 is the median of the set of data. 10 is the median of the lower quartile and 70 is the mean of the upper quartile.

What conclusion can be made about the number of minutes exercised each day?

a. The majority of people exercise between ten and thirty minutes each day.

b. About of the group exercise between ten and thirty minutes each day.

c. The majority of the group exercise between thirty and seventy minutes each day.

d. The greatest amount of time spent exercising is seventy minutes.

The answer is “c.” You can see that the majority of the data values fall in the upper quartile. Therefore, the majority of the group exercises between thirty and seventy minutes.

Think back through all of the different data displays that you have learned about. Different data displays are used for different reasons. Let’s take a look at some of those reasons.

• Bar graphs best depict unconnected values, where as a line graph depicts a continuous trend among the data.
• A stem-and-leaf plot organizes the data by showing the data values in order. A stem-and-leaf plot is useful in determining the mean, median, mode, and range for a set of data.
• The distribution of data items is depicted on a box-and-whisker plot in which the data is divided into four quartiles.
• A histogram shows the frequency of data on a graph.

The data table below depicts the amount of money Mary had in her savings account each month over the course of one year. Choose the most appropriate display for the data.

Month Deposit
January $40.00 February$75.00
March $145.00 April$175.00
May $178.00 June$237.00
July $240.00 August$250.00
September $260.00 October$270.00
November $275.00 December$280.00

Since the data table depicts data values over time, a line graph would most appropriately display the data.

The table below depicts the mean temperature (measured in Kelvin) of each planet in our solar system. Use what you have learned in the past Concepts to display the data from the table on a bar and line graph, a stem-and-leaf plot, a box-and-whisker plot, and a histogram.

Planet Mean Temperature (Kelvin)
Mercury 452
Venus 726
Earth 305
Mars 285
Jupiter 120
Saturn 59
Uranus 48
Neptune 37

Looking at the decreasing bars and lines on the graphs, you can conclude that a planet’s location affects its temperature. Planets closest to the sun have a higher temperature. Planets furthest from the sun have the lowest temperatures. It is evident that Venus has the highest surface temperature. Neptune has the coolest surface temperature.

Stem-and-Leaf Plot

37, 48, 59, 120, 285, 305, 452, 726

Planet Temperatures (Kelvin)
Stem Leaf
3 7
4 8
5 5
12 0
28 5
30 5
45 2
72 6

Looking at the stem-and-leaf plot, it can be determined that none of the data share a stem. Therefore, there is no mode for this set of data.

You can see that the coolest temperature is 37 K and the warmest temperature is 726 K. The difference between the two extremes or the range is 689 K.

The data values in the middle are 120 and 285. Therefore, the median planet temperature is 202.5 K.

The mean planet temperature is 254 K.

We can create a histogram of the data too. Look at the frequency table and the histogram created below.

Histogram
Temperature Tally Frequency
0 – 200 K I I I I 4
201 – 400 K I I I 3
401 – 600 K 0
601 – 800 K I 1

Now it’s time to draw some conclusions based on our data displays.

Looking at the histogram, it is apparent that most temperatures fall between zero and two hundred Kelvin. Three planets have surface temperatures that fall between two hundred one Kelvin and four hundred Kelvin. None of the planets have a surface temperature between four hundred one and six hundred Kelvin. One planet has a temperature between six hundred one and eight hundred Kelvin.

By looking at the same data in different ways, we become very familiar with the data. One visual way may make more sense to you than another. No matter which ones you create, you can use visual displays of data to answer questions and draw conclusions.Here is the original problem once again. Reread the problem and underline any important information.

Kelly wants to learn about the famous women who have raced in the Iditarod.

“There is a lot of talk about the men, but there must have been some famous women,” she said in class one day.

“Actually, that is a good point Kelly,” Mr. Hawkins said. “There is one famous woman in particular. Would you be willing to do some research and present some information on her?”

“I would,” Kelly said smiling.

“I’ll help,” Tabitha said from across the room.

“Alright, good and the rest of you can continue on your projects.”

Kelly and Tabitha got right to work. After looking up some information on the computer and in a few books on the Iditarod, they discovered that this famous woman was Susan Butcher. She was an amazing woman who won the Iditarod in four out of five years.

“Look, she even broke her own record,” Tabitha said.

“Yes, but she died in 2006 from leukemia. That is pretty sad.”

“It is,” Kelly said with a pause. “But she was very committed to her dogs and her racing. She even started a training facility. Her winning times seem slow compared with today, but they were very impressive then.”

“We can include that in our report. Let’s write down her finish times and make a graph to show them,” Tabitha suggested.

“That’s a great idea,” Kelly said smiling.

On a piece of paper the girls wrote down the following statistics.

1986 – 11 days 15 hours

1987 – 11 days 2 hours

1988 – 11 days 11 hours

1990 – 11 days 1 hour

“How are we going to display this? Which graph makes the most sense?” Kelly asked looking at Tabitha.

“Let’s create a line graph. That way we can show how her times changed over the course of the four races that she won.” Tabitha suggested.

“Great. The axis can be the years that she won.”

“Yes, and the axis can be the times. We can create 15 lines-each one has 11 days as a starter and then we add the number of hours from 1 – 15 with the days.”

Here is the graph that the girls created.

If you look at the graph, you will see that the first time and the last time that Susan Butcher raced and won the Iditarod were her best times!! She is definitely a hero who never stopped believing or backed down from a challenge!!

### Vocabulary

Statistics
A numerical record of data taken from an event or multiple events.

### Guided Practice

Here is one for you to try on your own.

The bar graph below depicts the average price of a gallon of gasoline for five states over a three week period. Use the information from the graph to answer the questions below.

Which state had the greatest decrease in price per gallon of gasoline?

a. Missouri

b. Washington

c. Florida

d. California

The answer is “d.” There was a $0.70 decrease in price per gallon over the three week period in California. In which state did the price per gallon decrease by$0.45 during the first two weeks?

a. Missouri

b. Hawaii

c. Washington

d. Florida

The answer is “a.” The price decreased from $3.00 to$2.55 in Missouri.

What conclusion can be drawn about the price of gasoline in all five states?

a. Hawaii will continue to have highest cost of gasoline.

b. The prices of a gallon of gasoline will start to level off in week four.

c. The price of a gallon of gasoline will continue to decline.

d. Both “a” and “c” are correct.

The answer is “d.” Looking at the trends on the graph, Hawaii has had the highest price of gasoline all three weeks. Therefore, it is likely that Hawaii will have the highest price of gasoline in week four. The price of a gallon of gasoline has decreased all three weeks in every state. Therefore it is likely that the price will continue to decrease in week four.

### Practice

Directions: The graph below depicts the quarterly sales for two competing computer companies. Use the information on the graph to answer the question below.

1. True or false. Each company has increased its computer sales each quarter.

2. True or false. One company has had a more significant increase in sales than the other.

3. If number two is true, which company has had a more significant increase in sales?

4. What were the average sales for Computer Company 1 in quarter 3?

5. What were the average sales for Computer Company 2 in quarter 4?

6. Which company did not show much of a change in profits from quarter 3 to quarter 4?

7. What were those average earnings?

The data table below depicts the final score for ten football games played this past season.

8. What is the most appropriate display for the data?

9. Create a display of that data.

The data below depicts the number of hours students in seventh grade spent working on a science project.

10. Create a bar graph of the data.

11. Create a line graph of the data.

The data table below depicts the amount of weekly allowance received by fifteen teenagers.

12. Create a frequency table of the data.

13. Create a histogram of the data.

14. Create a box-and-whisker plot of the data.

The data table below depicts the magnitude of the last ten earthquakes that occurred in Sacramento, California.

15. Create a stem-and-leaf plot of the data.

16. Create a histogram of the data.

### Vocabulary Language: English

binning

binning

Binning involves separating your data separated into separate classes or categories.
continuous variables

continuous variables

A continuous variable is a variable that takes on any value within the limits of the variable.
discrete random variables

discrete random variables

Discrete random variables represent the number of distinct values that can be counted of an event.
relative frequency table

relative frequency table

A relative frequency table is specifically designed to display the ratio of each individual frequency to the total frequency of the data.