Statistics Quiz

A value that is much higher or much lower than the other values in a set of data.

• Outlier
• Box Plot
• Range
• Histogram

the first quartile subtracted from the third quartile

• Standard Deviation

• Outlier

• Interquartile Range

Tags

CCSS.6.SP.B.5C

The table below lists the top ten most populated cities in 2014.

What value would you predict to be an outlier?

Find the Upper Quartile (Q3) of the following numbers:

84, 88, 72, 74, 98, 16, 94

• 72

• 88

• 94

• There is no Upper Quartile.

Tags

CCSS.6.SP.B.5C

Find the Lower Quartile (Q1) of the following numbers:

84, 88, 72, 74, 98, 16, 94

• 72

• 88

• 94

• There is no Lower Quartile.

Tags

CCSS.6.SP.B.5C

Use the 1.5 IQR rule to determine if there are any outliers for the following numbers:
84, 88, 72, 74, 98, 16, 94 

• Yes, 16 is an outlier.
• Yes, 33 is an outlier.
• Yes, 98 is an outlier.
• There are no numbers less than 39 or greater than 124, therefore there are no outliers.

When using IQR to find outliers, which formula will identify the lower limit?

• Q3 - 1.5(IQR)

• Q1 + 1.5(IQR)

• Q1 - 1.5(IQR)

• Q3 + 1.5(IQR)

Using the information below, identify which of the following is NOT an outlier:
Q1 = 53
Q2 = 55
Q3=61

• 73
• 40
• 80
• 73.5

Using the information below, identify which of the following is an outlier:
Q1 = 3
Q2 = 7
Q3 = 12

• 22
• 25.5
• -8.5
• 26

How do you find the range?

• order least to greatest, then slash from each side until you reach the middle
• add the numbers in your data set, then divide by the amount you added
• look for the number that repeats the most
• highest number minus the lowest number

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1