Which expression represents how much each person would get if there were [math]x[/math] people on the team?
[size=150]The flyer said, "Please bring in money to support the senior citizens center. Paper money and coins accepted!" Their goal is to raise T dollars.[/size][br][br]Match each quantity to an expression, an equation, or an inequality that describes it.
[size=150]They all used the same recipe, using [math]C[/math] cups of flour in total.[/size][br][br]Write an expression that represents the amount of flour required for one cake.
[size=150]The club sent an information flyer home to the [math]n[/math] students in the school. It says, "We welcome donations of any amount, including any change you could spare!" Their goal is to raise [math]T[/math] dollars, and to donate to a cat shelter and a dog shelter.[br][/size][br]Match each quantity to an expression, an equation, or an inequality that describes it.[br]
[size=150]They plan to order cheese pizzas that cost $6 each and four-topping pizzas that cost $10 each. They order [math]c[/math] cheese pizzas and [math]f[/math] four-topping pizzas.[/size][br]Which expression represents the total cost of all of the pizzas they order?
What is the mean of the values: 10, 20, 35, 35, 35, 40, 45, 45, 50, 60
[size=150]The distribution is skewed to the left.[/size][br][img]data:image/png;base64,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[/img][br][size=150]If the game with 3 hits is considered to be recorded in error, it might be removed from the data set.[/size][br]If that happens:[br][br]What happens to the mean of the data set?[br]
What happens to the median of the data set?[br]
What can you say about the data values?