IM Alg1.1.7 Practice: Spreadsheet Computations

Write a formula you could type into a spreadsheet to compute the value of each expression.
[math](19.2)\cdot73[/math]
[math]1.1^5[/math]
[math]2.34\div5[/math]
[math]\frac{91}{7}[/math]
A long-distance runner jogs at a constant speed of 7 miles per hour for 45 minutes.
Which spreadsheet formula would give the distance she traveled?
In a right triangle, the lengths of the sides that make a right angle are 3.4 meters and 5.6 meters.
Select [b]all [/b]the spreadsheet formulas that would give the area of this triangle.
This spreadsheet should compute the total ounces of sparkling grape juice based on the number of batches, ounces of grape juice in a single batch, and ounces of sparkling water in a single batch.
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[/img][br]Write a formula for cell B4 that uses the values in cells B1, B2, and B3, to compute the total ounces of sparkling grape juice.
How would the output of the formula change if the value in cell B1 was changed to 10?[br]
What would change about the sparkling grape juice if the value in B3 was changed to 10?[br]
The dot plot and the box plot represent the same distribution of data.
[img]data:image/png;base64,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[/img][br]How does the median change when the highest value, 5.2, is removed?[br]
How does the IQR change when the highest value, 5.2, is removed?[br]
Describe the shape of the distribution shown in the histogram which displays the light output, in lumens, of various light sources.
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[/img]
The dot plot represents the distribution of the number of goals scored by a soccer team in 10 games.
[img]data:image/png;base64,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[/img][br]If possible, find the mean. If not possible, explain why not.[br]
If possible, find the median. If not possible, explain why not.[br]
Did the soccer team ever score exactly 3 goals in one of the games?[br]
Close

Information: IM Alg1.1.7 Practice: Spreadsheet Computations