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Dahasolnce [82]
3 years ago
10

Describe what would happen if he only had $20 available on each payment method and tried to buy a hammer worth

Mathematics
1 answer:
ratelena [41]3 years ago
8 0
He could find an ATM machine and take cash out.
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There are a total of 15 bicycles and tricycles.There are 37 wheels all together if we count them up. How many tricycles and how
m_a_m_a [10]

Answer: there are eight bicycles and 7 tricycles.

Step-by-step explanation:

Let x represent the number of bicycles that are there.

Let y represent the number of tricycles that are there.

There are a total of 15 bicycles and tricycles. This means that

x + y = 15

A bicycle has 2 wheels and a tricycle has 3 wheels. There are 37 wheels all together if we count them up. This means that

2x + 3y = 37- - - - - - - - - - - - - 1

Substituting x = 15 - y into equation 1, it becomes

2(15 - y) + 3y = 37

30 - 2y + 3y = 37

- 2y + 3y = 37 - 30

y = 7

x = 15 - y = 15 - 7

x = 8

7 0
3 years ago
To cover A rectangle region of her yard penny needs atleast 170.5 square feet of sod. The length of the region is 15.5 feet. Wha
stiks02 [169]
The area needed is at least 170.5 ft².

Let w  =  the width of the rectangular area.
Because the length is 15.5 ft, therefore the calculated area should be at least 170.5 ft². That is
(15.5 ft)*(w ft) ≥ 170.5 ft²
w ≥ 170.5/15.5
w ≥ 11 ft

Answer:  w ≥ 11 ft
7 0
3 years ago
Tell me which 4 letters are right! A? B? C? D? F? E? I WILL GIVE BRAINLIEST
Helen [10]

Answer:

Everything but A and C

Step-by-step explanation:

5 0
2 years ago
14 is 56% of what number
Sedbober [7]
7.84  <span> 56% off 14 is equal to (56 x 56) / 100 </span>
8 0
3 years ago
Read 2 more answers
Based on the scatterplot and the value of the correlation coefficient, it would make sense to test the significance of this obse
Aleks [24]

Answer:

d. H0: melanoma mortality rate is not linearly related to latitude

   Ha: melanoma mortality rate is linearly related to latitude

Step-by-step explanation:

The linear regression equation is

y=α+βx where α=intercept and β=slope.

β=slope demonstrates the change in dependent variable due to unit change in independent variable.

If the slope is zero then we can say that Y and X are not linearly related.

Thus, the hypothesis for testing significance of linear relationship two variables can be written as

Null hypothesis: The two variables are not linearly related i.e. β=0

Alternative hypothesis : The two variables are linearly related i.e. β≠0.

Thus, in the given scenario the hypothesis are

H0: melanoma mortality rate is not linearly related to latitude

Ha: melanoma mortality rate is linearly related to latitude.

5 0
3 years ago
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