Oreo Claims Lab

Why did you get data from 5 other (people) trials when weighing the Oreos?

• To waste time

• To make sure you get the same answer every time

• To get a more accurate average

• To see which Oreo tasted best

What is a good reason for using a scale in the Oreo lab?

• To count how many Oreos were in the package

• To measure how tall the Oreo is

• To measure the mass of the filling

• To check the expiration date

What was the main question the Oreo lab was trying to answer?

• What’s the best Oreo flavor?

• Is Double Stuf really double the stuffing?

• How fast can you eat an Oreo?

• Do Oreos float in milk?

If your data showed that Double Stuf Oreos had 1.8 times the stuffing of regular Oreos, what would your claim be?

• Double Stuf has way less stuffing than Regular

• Double Stuf has exactly twice as much

• Double Stuf has almost double the stuffing

• Double Stuf is just regular with a new name

Why did you average the mass from all six trials?

• To make the graph look better

• To improve accuracy and reduce errors

• Because your teacher said so

• So you don’t have to do more math

Which of these items were likely used in the Oreo Double Stuf Lab?

• Ruler

• Triple-beam or digital scale

• Thermometer

• Oreos (Regular and Double Stuf)

What should be included in a good science graph?

• A title

• Labels on axes

• Different colors for fun

• Units of measurement

Tags

NGSS.MS-PS3-1

What counts as "evidence" in the Oreo lab

• The measured weight of each Oreo's filling

• Your personal opinion about which tastes better

• Data from the six trials

• A picture of the Oreo

Which parts would you include in a CER (Claim, Evidence, Reasoning)

• A guess before the lab

• The data you collected

• An explanation of what the data shows

• What your friends think about Oreos

Tags

NGSS.MS-PS3-5

Why is it important to follow the same steps when measuring each Oreo?

• To keep the results fair and consistent

• So everyone in the class gets the same answer

• To make sure the data is reliable

• Because doing it differently might change the results