Statistics

2. When a sample does not accurately represent the population it is a:

• A. Unbiased sample
• B. Biased sample

Tags

CCSS.7.SP.A.1

Change .009 to a percent.

• 0.9%
• 0.09%
• 9%
• 9.00%

Tags

CCSS.7.RP.A.3

CCSS.7.RP.A.2

What would be the population in this example?
Surveyors in a mall choose shoppers to ask about products they prefer.

• the surveyors
• all shoppers in the mall
• the shoppers who were asked their preferences

Tags

CCSS.7.SP.A.1

CCSS.7.SP.A.2

What would be the sample in this example?
Surveyors in a mall choose shoppers to ask about products they prefer.

• the surveyors
• all shoppers in the mall
• the shoppers who were asked their preferences

Tags

CCSS.7.SP.A.1

CCSS.7.SP.A.2

The entire group studied.

• sample
• population

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

A bag contains:

• 5 red marbles

• 6 blue marbles

• 3 green marbles

• 4 black marbles

• 2 yellow marbles

A marble will be drawn from the bag and replaced 200 times. What is a reasonable prediction for the number of times a yellow or green marble will be drawn?

• 20

• 30

• 50

• 40

Tags

CCSS.6.RP.A.3B

Drake made 14 out of 20 free throw shots.  About how many out of the next 30 free throw shots would you expect him to make?

• 20
• 21
• 22
• 25

Tags

CCSS.7.RP.A.3

A poll was taken of Hobby Middle School, 25 out of 30 students said they would prefer pizza on Friday’s. Out of 1200 students, what is a reasonable prediction of how many students would prefer pizza on Fridays?

• 100

• 1000

• 10

• 1

Tags

CCSS.7.RP.A.2C

Change 4% to a decimal.

• .04
• .004
• .4
• 4

Tags

CCSS.5.NBT.A.3

As a part of a survey, 50 students were asked about their favorite lunch item. The results are shown below.

• Pizza 10
• Tacos 5
• Hot dogs 15
• Hamburgers 20
• 
  

The cafeteria manager knows that about 300 students buy lunch from the cafeteria each day. Based on the table, she predicts that 60 students will buy pizza each day. Which statement about her prediction is true.

• Her prediction is invalid because ⅕ of 50 is 10.

• Her prediction is invalid because ¼ of 300 is 75.

• Her predictions is invalid because 120% of 50 is 60.

• Her predictions is valid 20% of 300 is 60.

Tags

CCSS.6.RP.A.3C