Answer: the store charged $40 for the bike helmet before tax.
Step-by-step explanation:
Let x represent the amount that the store charge for the bike helmet before tax.
If the sales tax rate was 8%, it means that the amount of tax that was charge is
8/100 × x = 0.08 × x = 0.08x
Monica paid sales tax of $3.20 when she bought a new bike helmet. This means that
0.08x = 3.2
Dividing the left hand side and the right hand side of the equation by 0.08, it becomes
0.08x/0.08 = 3.2/0.08
x = 40
Answer:
180
Step-by-step explanation:
Answer:
40 + 4x
Step-by-step explanation:
formula for perimeter:
( length * 2 )+(width * 2)
you know that the length and width will be increased by the same number so you can call that X.
((length + x)*2) + ((width + x) * 2)
then substitute length and width
((15+x)*2) + ((5+x)*2))
you can simplify this a bit more
30 + 2x + 10 + 2x
40 +4x
Goodluck with your schoolwork/homework!
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Sorry for any wrong answers or bad explanations.
The answer is (4, -1)
x = 4 and y = -1
If you want the work ask me on the comment if not this is the correct answer
Answer:
C
Step-by-step explanation:
Dot plot is usually in the form of stem & leaf. The only difference is that, stem& leaf presents the actual values while dot plot usually represent the value in dots. Hence, we can easily generate dot plot from stem & leaf!
For (a) dot plot and box plot, dot plot presents all the data while box plot presents only the five-num statistics, namely:
1. minimum
2. 1st quartile (Q1)
3. median
4. 3rd quartile (Q3)
5. Maximum
And outliers, if any!
Thus, dot plot cannot directly generate box plot
For (b). Histogram and stem & leaf. Although both usually help us understand the skewness of data distribution, however, histogram deals with frequency distribution (counts of number of occurrence) and plotted on the intervals and stem&leaf list the values.
For (d). Even though dot plot shoots up and down like the histogram, the content is different. In dot plot, it is the actual value represented in dots. But in histogram, it is the frequency distribution of the class intervals.