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Harrizon [31]
3 years ago
7

Line L passes through points S and R. Determine the slope of line L.

Mathematics
2 answers:
Luba_88 [7]3 years ago
6 0

Answer:

slope = \frac{5}{3}

Step-by-step explanation:

Calculate the slope m using the slope formula

m = (y₂ - y₁ ) / (x₂ - x₁ )

with (x₁, y₁ ) = (- 1, - 2) and (x₂, y₂ ) = (2, 3)

m = \frac{3+2}{2+1} = \frac{5}{3}

siniylev [52]3 years ago
4 0

Answer:  5 /3

Step-by-step explanation: 5 /3  is correct. Point S has coordinates (-1, -2) and point R has coordinates (2, 3). Use the slope formula.

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The two tables give the number of pints of red and blue paint that are used to make different amounts of two shades of purple pa
ValentinkaMS [17]

The two highlighted rows show that for the same amount of blue, Purple #1 uses <u>more</u> red than Purple #2.

This means that Purple #1 is <u>a redder</u> shade of purple than Purple #2.

Purple #2 is <u>a bluer</u> shade of purple than Purple #1.

Step-by-step explanation:

The two highlighted rows show that for the same amount of blue, Purple #1 uses <u>more</u> red than Purple #2.

Making blue's quantity as 3 parts for purple #1 implies red part becomes 1.5 to maintain the ratio 1:2

Purple #1 has 1/3 parts red and 2/3 parts blue. Purple #2 has 1/4th part red and 3/4th part blue.

Hence, Purple #1 is <u>a redder</u> shade of purple than Purple #2.

From the above explanation, <u>Purple #2</u> is a bluer shade of purple than Purple #1.

<em>Sure hopes this helps you :)</em>

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<h3><em>//❀ ❀//</em></h3>
4 0
2 years ago
6.3.6. Among the early attempts to revisit the death postponement theory introduced in Case Study 6.3.2 was an examination of th
kakasveta [241]

Answer:

So the Null hypothesis is rejected in this case

Step-by-step explanation:

  The number of celebrities is  n = 348

   

So to solve this we would assume that p is the percentage of people that died on the month preceding their birth month  

     

  Generally if there is no death postponement then p will be mathematically evaluated as

            p = \frac{1}{12}  

This implies the probability of date in one month out of the 12 months

Now from the question we can deduce that the hypothesis we are going to be testing is  

  Null Hypothesis  \  \  H_0 : p = 0.083

This is a hypothesis is stating that a celebrity  dies in the month preceding their birth

  Alternative \ Hypothesis  H_1 : p < 0.083

   This is a hypothesis is stating that a celebrity does not die in the month preceding their birth

       is c is the represent probability for each celebrity which either c = 0 or c = 1

Where c = 0 is that the probability  that the celebrity does not die on the month preceding his/ her birth month

     and  c =  1  is that the probability  that the  celebrity dies on the month preceding his/ her birth month

  Then it implies that

   for  

       n= 1 + 2 + 3 + .... + 348  celebrities

Then the sum of c for each celebrity would be  c_s = 16

i.e The number of celebrities that died in the month preceding their birth month

We are told that the significance level is  \alpha  = 0.05, the the z value of \alpha is

              z_{\alpha } =  1.65

This is obtained from the z-table

Since this test is carried out on the left side of the area under the normal curve then the critical value will be

                 z_{\alpha } = - 1.65

So what this implies is that  H_o will be rejected if

                z \le -1.65

Here z is the test statistics

Now z is mathematically evaluated as follows

                  z = \frac{c - np}{\sqrt{np_o(1- p_o)} }

                z = \frac{16 - (348 *0.083)}{\sqrt{348*0.083 (1- 0.083)} }

                z =-2.50

From our calculation we see that the value of z is less than -1.65 so the Null hypothesis will be rejected

   Hence this tell us that the  evidence provided is not enough to conclude  that 16 celebrities died a month to their birth month

8 0
3 years ago
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kiruha [24]
There are 4 isosceles triangles in a rectangle:)
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3 years ago
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Airida [17]
A Least Square Regression Line is the best thing to use for this because there is inconsistencies and no direct equation to be able to fill all of these points. They may be outliers and therefore we should use a calculator for a Regression Line to be calculated to find the residual.
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3 years ago
What is BC ? Enter your answer in the box.
omeli [17]

Answer:

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Step-by-step explanation:

This is a historical term which is the opposite of AD(Anno Domini)

I do not know if I have spelt Anno Domini correctly but it does not matter


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