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ad-work [718]
3 years ago
10

Write an equation in Slope intercept form (y=mx+b) for the line with the given slope (m) and y-intercept (b) m=4,b=-3

Mathematics
1 answer:
dusya [7]3 years ago
5 0

Answer:

y=4x-3

Step-by-step explanation:

y=mx+b

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PLEASE HELP ASAP!!
Anon25 [30]

Answer:

16 inches, and 10 inches tall, aka Answer D.

So because, they are asking the largest image for the photograph,

so 8 * 2 = 16

and 10 * 2 = 20 but 20 can't go into 12.

Step-by-step explanation:

I think this is right sry if its not

3 0
3 years ago
Read 2 more answers
Find the rate of change for each set of ordered pairs. What is
weqwewe [10]
(0,-1), (3,8) is the answer
8 0
3 years ago
The diagram shows a tile in the shape of a trapezium.
Ann [662]

Answer:

286cm²

Step-by-step explanation:

Let the parallel sides be 12cm and 10cm

Height h = 26cm

Area of a trapezium = 1/2(a+b) * h

Area of a trapezium = 1/2(12+10)* 26

Area of a trapezium = 1/2(22)*26

Area of a trapezium = 11 * 26

Area of a trapezium = 286cm²

Hence the area of the tiles is 286cm²

5 0
3 years ago
Heather is a cashier and she can ring up 36 customers in 24 minutes. At this rate how many minutes does it take to ring up 6 cos
Jet001 [13]

Answer: 4

Step-by-step explanation:

Let's make a table.

So we know that for 24 minutes, Heather can ring up 36 customers. Now, to get 6 customers, you need to divide 36 by 6.

So

36 = 24

/ 6    /6

_______

6 = <u>4</u>

3 0
3 years ago
Read 2 more answers
A recent poll of 1500 new home buyers found that 60% hired a moving company to help them move to their new home. Find the margin
Mrac [35]

Answer:

The margin of error M.O.E = 2.5%

Step-by-step explanation:

Given that;

The sample size = 1500

The sample proportion \hat p = 0.60

Confidencce interval = 0.95

The level of significance ∝ = 1 - C.I

= 1 - 0.95

= 0.05

The critical value:

Z_{\alpha/2} = Z_{0.05/2} \\ \\  Z_{0.025} = 1.96 (From the z tables)

The margin of error is calculated by using the formula:

M.O.E = Z_{\alpha/2} \times \sqrt{\dfrac{\hat p(1 -\hat p)}{n}}

M.O.E = 1.96 \times \sqrt{\dfrac{\hat 0.60(1 -0.60)}{1500}}

M.O.E = 1.96 \times \sqrt{\dfrac{0.24}{1500}}

M.O.E = 1.96 \times \sqrt{1.6 \times 10^{-4}}

M.O.E = 0.02479

M.O.E ≅ 0.025

The margin of error M.O.E = 2.5%

8 0
3 years ago
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