If a half cup of butter weighs 4 ounces, then how many cups are in a pound of butter?
Note: There are 16 ounces in a pound.
In an Oreo cookie factory, 15,000 cookies are made every five minutes. How many cookies are produced in one 8-hour shift? Label you answer.
Solve the proportion.
During the NBA play-offs, ticket prices often are inflated due to scalpers. Calculate the price for a Bucks ticket based on the information in the table.
The Fiserv Forum has a parking garage that charges a flat fee for parking, which is included as part of the game day costs. How much is the parking fee?
Hint: Use your answer from problem 4 to help you determine the cost of parking.
Write an equation in slope-intercept form that models the linear relationship in the table.
Hint: Use your answers from problems 4 & 5 to help you write the linear equation.
Use your equation from problem 6 to calculate the game day costs for a family of six to go to a play-off game to see the Bucks play at the Fiserv Forum.
A car had an initial value of $31,250. After 5 years, the car value dropped to $12,500. What is the average depreciation of the car over those 5 years?
Michael tracks his gas usage over a 200 mile trip. Determine the slope from the following graph and explain it meaning.
Michael tracks his gas usage over a 200 mile trip. Determine the y-intercept from the following graph and explain it meaning.
Draw a trend line. Estimate and interpret the slope of the line.
Estimate and interpret the y-intercept of the line.
Identify the independent and dependent variables in the table provided.
| Draggable item | arrow_right_alt | Corresponding Item |
|---|---|---|
Time in minutes | arrow_right_alt | independent |
Rainfall in inches | arrow_right_alt | dependent |
Number of plants | arrow_right_alt | None of the above. |
Create a scatterplot. Label the axes. Draw a trend line and write a linear model for your trend line.
Round the slope & y-intercept to the nearest hundredth.
Using your equation from #14, predict the number of plants for 20 inches of rain.
Is your prediction in #15 an example of interpolation or extrapolation?
What is the correlation coefficient for the scatterplot you made in #14? Is this a strong or weak correlation?
Determine the following using the data in the table:
Match the correct value to the correct statistic.
| Draggable item | arrow_right_alt | Corresponding Item |
|---|---|---|
2 pets | arrow_right_alt | Median |
1 pet | arrow_right_alt | Quartile 1 |
1.6 pets | arrow_right_alt | Quartile 3 |
0 pets | arrow_right_alt | Mean |
1.1 pets | arrow_right_alt | None of the above |
Data on the number of pets someone owns is an example of what kind of data?
