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charle [14.2K]
3 years ago
8

PLEASE HELP !! it’s for math ...

Mathematics
2 answers:
Vikentia [17]3 years ago
4 0

Answer:

34 degrees, 68 degrees, 78 degrees

Step-by-step explanation:

All angles in a triangle must add up to 180 degrees.

so

x + 2x + 2x + 10 = 180

(group together all the xs)

5x + 10 = 180

(subtract 10 from both sides)

5x = 170

(divide both sides by 5)

x = 170/5 = 34

Angle 1 = x

x = 34

Angle 1 = 34 degrees

Angle 2 = 2x

x = 34

(multiply both sides by 2)

2x = 68

Angle 2 = 68 degrees

Angle 3 = 2x + 10

x = 34

(multiply both sides by 2)

2x = 68

(add 10 to both sides)

2x + 10 = 68 + 10 = 78

Angle 3 = 78 degrees

CHECK YOUR ANSWERS:

All angles in a triangle must add up to be 180 degrees.

so

34 + 68 + 78 should equal 180

34 + 68 + 78 = 180 degrees

Hope this helps :)

vaieri [72.5K]3 years ago
3 0

Answer:

Step-by-step explanation:

sum of angles of a triangle= 180°

x+2x+2x+10=180

5x+10=180

5x=170

x=170/5

x=34

.:

x=34°

2x=34×2=68°

2x+10=2×34+10=68+10=78°

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aleksandrvk [35]

Answer:

Step-by-step explanation:

Hello!

The objective is to test if the two machines are filling the bottles with a net volume of 16.0 ounces or if at least one of them is different.

The parameter of interest is μ₁ - μ₂, if both machines are filling the same net volume this difference will be zero, if not it will be different.

You have one sample of ten bottles filled by each machine and the net volume of the bottles are measured, determining two variables of interest:

Sample 1 - Machine 1

X₁: Net volume of a plastic bottle filled by the machine 1.

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S₁= 0.03

Sample 2 - Machine 2

X₂: Net volume of a plastic bottle filled by the machine 2

n₂= 10

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With p-values 0.4209 (for X₁) and 0.6174 (for X₂) for the normality test and using α: 0.05, we can say that both variables of interest have a normal distribution:

X₁~N(μ₁;δ₁²)

X₂~N(μ₂;δ₂²)

Both population variances are unknown you have to conduct a homogeneity of variances test to see if they are equal (if they are you can conduct a pooled t-test) or different (if the variances are different you have to use the Welche's t-test)

H₀: δ₁²/δ₂²=1

H₁: δ₁²/δ₂²≠1

α: 0.05

F= \frac{S^2_1}{S^2_2} * \frac{Sigma^2_1}{Sigma^2_2} ~~F_{n_1-1;n_2-1}

Using a statistic software I've calculated the test

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To study the difference between the population means you can use

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I hope this helps!

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