Lesson 1.3 Checkpoint

How good was the 2012 U.S. women’s soccer team? With players like Abby Wambach, Megan Rapinoe, and Carli Lloyd, the team put on an impressive showing en route to winning the gold medal at the 2012 Summer Olympics in London. Here are data on the number of goals scored by the team in games played in the 12 months prior to the 2012 Olympics.

1 3 1 14 13 4 3 4 2 5 2 0

4 1 3 4 3 4 2 4 3 1 2 4 2

Make a dotplot of these data.

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Tags

CCSS.HSS.ID.A.1

CCSS.6.SP.B.4

How good was the 2012 U.S. women’s soccer team? With players like Abby Wambach, Megan Rapinoe, and Carli Lloyd, the team put on an impressive showing en route to winning the gold medal at the 2012 Summer Olympics in London. The dotplot shows the difference in the number of goals scored in each game (U.S. women’s team – Opponent).

Explain what the dot above -1 represents.

• One of the U.S. women's 2012 soccer games in which the U.S. team scored 1 fewer goal than the other team.

• One of the U.S. women's 2012 soccer games in which the U.S. team scored 1 more goal than the other team.

• One of the U.S. women's 2012 soccer games in which the U.S. team lost 1 fewer game than the other team.

• One of the U.S. women's 2012 soccer games in which the U.S. team won 1 more game than the other team.

Tags

CCSS.6.NS.C.5

How good was the 2012 U.S. women’s soccer team? With players like Abby Wambach, Megan Rapinoe, and Carli Lloyd, the team put on an impressive showing en route to winning the gold medal at the 2012 Summer Olympics in London. The dotplot shows the difference in the number of goals scored in each game (U.S. women’s team – Opponent).

What percent of its games did the 2012 U.S. women's team win?

• 21/25 = 0.84 or about 84% of the games

• 4/25 = 0.16 or about 16% of the games

• 25/21 = 1.19 or 1.19% of the games

• 25/4 = 6.25 or 6.25% of the games

Tags

CCSS.6.RP.A.3C

The dotplot shows the results of rolling a pair of 6-sided dice and finding the sum of the up faces 100 times. Determine if the dotplot is roughly symmetric or skewed.

• Roughly symmetric

• Left-skewed

• Right-skewed

• None of the above

The dotplot shows the results of rolling a pair of 6-sided dice and finding the sum of the up faces 100 times. Describe the peak(s) of the graph.

• Clear peak at 7

• Clear peak at 2

• There are multiple peaks at 6 and 7

• There are no peaks

Tags

CCSS.HSS.ID.A.3

CCSS.6.SP.B.5C

The dotplot shows the results of rolling a pair of 6-sided dice and finding the sum of the up faces 100 times. Describe the clusters or gaps of the graph

• There is a cluster from 6 to 8.

• There is a gap from 13 to 14

• There are no gaps or clusters to describe

• I don't know what a gap or cluster is.

The dotplot displays the last digit of 100 phone numbers chosen at random from a phone book. Describe the shape of the distribution. Determine if the dotplot is roughly symmetric or skewed.

• Roughly symmetric

• Left-skewed

• Right-skewed

• None of the above

The dotplot displays the last digit of 100 phone numbers chosen at random from a phone book. Describe the shape of the distribution. Describe the peak(s).

• There are peaks at 4 and 7.

• There is a peak at 7.

• There is a peak at 4.

• There are no peaks.

The dotplot displays the last digit of 100 phone numbers chosen at random from a phone book. Describe the shape of the distribution. Describe any clusters or gaps.

• There is a cluster from 0 to 2

• There are no clusters.

• There is a gap from 2 to 4.

• There are no clusters or gaps.

Tags

CCSS.HSS.ID.A.3

CCSS.6.SP.B.5C

The following parallel dotplots show the total family income of randomly chosen individuals from Indiana (38 individuals) and New Jersey (44 individuals). Which of the following correctly compares the shape of the distribution?

• The Indiana distribution is roughly symmetric, while the New Jersey distribution is right-skewed.

• The distribution for Indiana has a similar center to the distribution for New Jersey, around $45,000.

• The variability for Indiana is less than the variability for New Jersey.

• $160,000 appears to be an outlier for the Indiana distribution and there isn't any obvious outliers for the New Jersey distribution.

Tags

CCSS.HSS.ID.A.3

CCSS.HSS.ID.A.1

CCSS.HSS.ID.A.2