I'll just show you how to make a frequency table using the above data.
We will group the data into class intervals and determine the frequency of the group.
<span>8 12 25 32 45 50 62 73 80 99 4 18 9 39 36 67 33
</span>
smallest data value = 4
highest data value = 99
difference = 99 - 4 = 95
number of data = 17
Let us assign a class interval of 20.
Class Interval Tally Frequency
0-20 8, 12, 4, 18, 9, 5
21-40 25, 32, 39, 36, 33 5
41-60 45, 50, 67 3
61-80 62, 73, 80 3
81-100 99 1
That is how a frequency table look like. Usually, under the Tally column, tick marks are written instead of the numbers but for easier monitoring, I used the numbers in the data set.
Step-by-step explanation:
1 pound = 16 ounces
5 pound = 16 x 5 = 80
Cost per ounce = 15
Cost of 80 ounces = 15 x 80 = 1200
Option D is the correct answer
Missing step : -3x > 24 <== to get that, 10 was added to both sides
Step-by-step explanation:
$1.80 per pound
The amount she's supposed to buy it is
1.80 × 12.5 = $22.5
She paid $21.25 for the 12.5 pounds, that means she saved
$22.5 - $21.25 = $1.25
the amount she saved per pound is
1.25/12.5 = $0.1 per pound
Let's call Tacos t and Enchiladas e.
Lily paid $9 for 2t and 3e
Alex paid $12.50 for 3t and 4e.
Thus the equations would be.
