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In the past month, Ryan has had five pizzas delivered. He kept a record of how long it took to get the pizzas: 35 minutes,

In the past month, Ryan has had five pizzas delivered. He kept a record of how long it took to get the pizzas: 35 minutes, 25 minutes, 50 minutes, 40 minutes, and 70 minutes.

Based on this data, what is the range of time Ryan can expect for his next pizza to arrive?

  • a.)
  • 25 minutes
  • b.)
  • 45 minutes
  • c.)
  • 70 minutes
  • d.)
  • 44 minutes

get the pizzas: 35 minutes, 25 minutes, 15 minutes, 40 minutes, and 50 minutes.

Based on this previous data, what is the range of time he can expect it would take for his next pizza to arrive?

  • a.)
  • 15 minutes
  • b.)
  • 33 minutes
  • c.)
  • 35 minutes
  • d.)
  • 50 minutes

In the past month, Ryan has had five pizzas delivered. He kept a record of how long it took to get the pizzas: 35 minutes, 25 minutes, 20 minutes, 40 minutes, and 60 minutes.

Based on this previous data, what is the range of time he can expect it would take for his next pizza to arrive?

  • a.)
  • 20 minutes
  • b.)
  • 36 minutes
  • c.)
  • 40 minutes
  • d.)
  • 60 minutes

The following values represent the average temperature (in degrees Fahrenheit) in February for a particular city over the last 7 years:

20, 14, 28, 32, 27, 21, 25.

What is the interquartile range for the given data set?

  • a.)
  • 8
  • b.)
  • 13
  • c.)
  • 5
  • d.)
  • 18

The following values represent the average snowfall (in inches) in January for a particular city over the last 15 years:

23, 19, 28, 31, 26, 21, 17, 34, 32, 23, 27, 28, 30, 22, 29.

What is the interquartile range for the given data set?

  • a.)
  • 3
  • b.)
  • 6
  • c.)
  • 8
  • d.)
  • 17

The following values represent the average rainfall (in centimeters) in April for a particular city over the last 11 years:

24, 16, 29, 34, 26, 22, 18, 34, 30, 23, 21.

What is the interquartile range for the given data set?

  • a.)
  • 11
  • b.)
  • 18
  • c.)
  • 3
  • d.)
  • 9

A police officer decided to track the average temperature and count the number of motorcycle accidents he saw in a month.He noticed that as the temperature increased, so did the number of accidents.

Which of the following is TRUE?

  • a.)
  • The number of accidents is correlated to the temperature.
  • b.)
  • The number of accidents causes a change in the temperature.
  • c.)
  • The temperature causes a change in the number of accidents.
  • d.)
  • The number of accidents is not correlated to the temperature.

Identify the FALSE statement.

  • a.)
  • If X and Y are correlated, they also may have causation.
  • b.)
  • A correlation between X and Y indicates as X changes, Y will also change.
  • c.)
  • A correlation between X and Y indicates that as X changes, Y will not change.
  • d.)
  • If X and Y are causally related, they also must be correlated.

If variable X is correlated to variable Y, which of the following statements must be TRUE?

  • a.)
  • Changes in Y cause changes in X.
  • b.)
  • As X changes, Y changes as well.
  • c.)
  • Changes in X cause changes in Y.
  • d.)
  • As X changes, Y does not change.

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