TNREADY Algebra Review _Statistics

The box plot represents the number of community members that swim in the neighborhood pool each day during the summer months.

Which statement must be true?

• The maximum number of community members that swim in the pool is 50.

• The mean number of community members that swim in the pool is 25.

• The median number of community members that swim in the pool is 45.

• The minimum number of community members that swim in the pool is 10.

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S.ID.A.1

The data set lists the number of tickets purchased for a school dance each day for 𝟗 days.

𝟏𝟑,𝟔,𝟏𝟑,𝟖,𝟐,𝟏𝟗,𝟏𝟏,𝟏𝟔,𝟏𝟕

If a 𝟑𝟐 is added to the data set, which statement will be true?

• Both the mean and median will decrease.

• Both the mean and median will increase.

• The mean will decrease, and the median will remain the same.

• The mean will increase, and the median will remain the same.

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S.ID.A.3

The table shows the average percent of people, 𝒚, requiring corrective lenses 𝒙 years after theage of 𝟔.

If the equation 𝒚=𝟎.𝟐𝟕𝒙+𝟏𝟖.𝟓𝟔 approximates the data in the table, which statement is true?

• The average percent of people requiring corrective lenses at age 6 (𝑥=0) is approximately 0.27 percent.

• The average percent of people requiring corrective lenses at age 6 (𝑥=0) is approximately 18.56 percent.

• The average percent of people requiring corrective lenses decreases by approximately 0.27 percent each year.

• The average percent of people requiring corrective lenses decreases by approximately 18.56 percent each year.

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S.ID.C.5

Which scatter plot has a correlation coefficient closest to 𝟏?

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S.ID.C.6

The scatter plot represents the relationship between the average number of times a person blinks, 𝒚, per 𝒙 minute staring at a computer screen.

Which statement is true?

• There appears to be a correlation between the time spent staring at a computer screen and the average number of times a person blinks, and that proves there is causation between the variables.

• There appears to be a correlation between the time spent staring at a computer screen and the average number of times a person blinks, but that does not prove there is causation between the variables.

• There does not appear to be a correlation between the time spent staring at a computer screen and the average number of times a person blinks, and that proves there is causation between the variables.

• There does not appear to be a correlation between the time spent staring at a computer screen and the average number of times a person blinks, but that does not prove there is causation between the variables.

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S.ID.C.7

A sample of 𝟏𝟎 bags of marbles is selected, and the number of marbles in each bag is counted. The list shows the number of marbles in each bag.

𝟐𝟐,𝟐𝟒,𝟏𝟑,𝟏𝟗,𝟏𝟗,𝟐𝟑,𝟐𝟐,𝟏𝟖,𝟐𝟎,𝟐𝟑

Which box plot best represents the data?

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S.ID.A.1

Data Set R represents the ages of students at a book fair, while Data Set S represents the ages of students at a local library.

Which statement is true?

• Data Set R has a greater median and a smaller interquartile range than Data Set S.

• Data Set R has a greater median and interquartile range than Data Set S.

• Data Set R has a smaller median and a greater interquartile range than Data Set S.

• Data Set R has a smaller median and interquartile range than Data Set S.

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S.ID.A.2

A wildlife officer records the number of ravens, 𝒚, in a specific area each month, 𝒙, from when the population is initially measured. The scatter plot shows the results, where 𝒙≥𝟎.

Which function best represents a linear model for the data in the scatter plot?

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S.ID.B.4.b

• change in number of students in attendance per week

• initial number of students in attendance when 𝑥=0

• slope

• 𝑥-intercept

• y-intercept

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S.ID.C.5

The table shows the number of hits, 𝒙, and the batting average, 𝒚, for various softball players on a team.

What does the correlation coefficient for the data indicate about the association between the number of hits and the batting average of the players?

• There is a strong negative linear association.

• There is a strong positive linear association.

• There is a weak negative linear association.

• There is a weak positive linear association.

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S.ID.C.6