Answer: B. (-2, 3)
Step-by-step explanation: The two lines have the same solution where both lines intersect. So, if you look at the point on the graph where the two lines intersect, and count the tick marks on the number lines, the point is clearly located at (-2, 3).
Hi There!
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Problem #1:
At the dealership where she works, Sade fulfilled 3/10 of her quarterly sales goal in January and another 1/10 of her sales goal in February. What fraction of her quarterly sales goal had Sade reached by the end of February?
3/10 + 1/10 = 4/10
4/10 of her goal.
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Problem #2:
Shane has been monitoring his mileage. According to last week's driving log, he drove 1/10 of a mile in his car and 9/10 of a mile in his truck. How far did Shane drive last week in all?
1/10 + 9/10 = 10/10 = 1
Shane drove 1 mile.
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Problem #3:
For a class experiment, Vina's class weighed a log before and after subjecting it to termites. Before subjecting it to termites, the log weighed 7/10 of a pound. After the termites, the log weighed 3/10 of a pound. How much weight did the termites take from the log?
7/10 - 3/10 = 4/10
The termites took 4/10 pound away from the log.
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Hope This Helps :)
No it is an irrational number i think
Answer:
First one.
Step-by-step explanation:
M is in both angles.
Answer:
(b) The distribution of the last digits of ID numbers in a sample of 100 college students
Step-by-step explanation:
<u>Uniform Distribution Explanation</u>
In statistics, uniform distribution refers to a type of probability distribution in which all outcomes are equally likely.
The only possibility here is the distribution of the last digits since the last digit can be 0 thru 9 and each is equally likely to appear in a random sample of 100 students
The others can be eliminated
Heights can vary depending on gender, ethnic background etc. In fact heights will follow a normal distribution
Scores can vary, most students will be scoring around the mean follows a normal distribution
GPAs like scores can vary, most students will have GPAs close to the mean GPA so follows a normal distribution
