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icang [17]
3 years ago
9

If you earn 15.50 per hour at market basket, how much do you earn in 5 1/2​

Mathematics
1 answer:
Black_prince [1.1K]3 years ago
3 0

Answer:

15.50/hr

1hr=15.50

51/2=?

15.50×51/2=

82.50$

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Use two numbers below to make a subtraction problem with regrouping.28,33,45,57,39,36
poizon [28]

Answer:

45 - 36 = 9

Step-by-step explanation:

Write 45 down first, move a ten from 40 to 5, subtract 15 - 6 then 30 - 30

4 0
3 years ago
Alana can complete 100 math facts in 5 minutes. How long does it take her to complete 1 math fact?
Inga [223]

Answer:

3 seconds

Step-by-step explanation:

Convert minutes to seconds: 5*60=300 seconds. 100 math facts in 300 seconds. 100/300=3. She solves a math question every 3 seconds (holy cr.ap that's fast)

3 0
3 years ago
Need help immediately
marin [14]

Answer:

Step-by-step explanation:

If A, B, and C are in the ratio of 2:3:5 and they are each getting some amount of money in that ratio, then to find the total amount of money they split is found in Ax + Bx + Cx and we need to solve for x. What we are told is that the smallest share = 210 and obviously A is the smallest share. Therefore,

2x = 210 and x = 105.

The total sum = 210 + 3(105) + 5(105) so

Total sum = 210 + 315 + 525

Total sum = 1050 and

C's share is 525 and

B's share is 315

6 0
3 years ago
Professor wonders whether a student's homework average (X) could be used to predict their final grade in the course (Y) . She ca
Anna11 [10]

Answer:

The dependent variable is the final grade in the course and is the vriable of interest on this case.

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

Step-by-step explanation:

On this case w ehave the following linear model:

Y= 21.839 +0.724 X

Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by \beta_1 = 0.724 and the intercept is \beta_0 = 21.839

Which is the dependent variable, and why?

The dependent variable is the final grade in the course and is the vriable of interest on this case.

Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?

Since we conduct a regression the hypothesis of interest are:

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

3 0
3 years ago
Please help!!! will mark brainliest
faust18 [17]

Your answer is 7.

I subtracted 5 from 12 to find the missing number for KL that is 7.

Therefore, your answer is 7

6 0
2 years ago
Read 2 more answers
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