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Sholpan [36]
3 years ago
8

How to do this helppp ! i need this for my finals

Mathematics
1 answer:
ruslelena [56]3 years ago
7 0

Answer:

9. 168

10.

3 {x}^{2}  - 14x - 24

Step-by-step explanation:

on the picture

if it's helpful ❤❤❤

THANK YOU.

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The distance between P and T on the coordinate grid is units. (Input whole numbers only.)​
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Answer:ummm do you have a picture of the question?

Step-by-step explanation:

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Write an inequality to represent the following statement.
harina [27]
X<2.5

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5 0
3 years ago
Is ∆RST ≅ ∆VUT ? Justify your answer below.
BlackZzzverrR [31]

Answer:

Yes.

Step-by-step explanation:

We know <S is congruent to <U. line segment ST is congruent to line segment UT. Also, the line going through T( line segment RV) makes 2 congruent angles. <STU and < UTV are congruent. So triangle RST is congruent to triangle VUT by ASA (angle side angle.)

8 0
3 years ago
Which two ratios form a proportion A) 1/2 and 2/7 B) 2/1 and 7/14 C) 1/2 and 7/14 D) 2/1 and 14/21
Romashka [77]

1/2 * 2/2  = 2/4  which is not 2/7

2/1 * 7/7 = 14/7  which is not 7/14

1/2 * 7/7 = 7/14 which is 7/14  yes

2/1 * 7/7 = 14/7 which is not 14/21  no


Choice C

4 0
3 years ago
4. The average annual income of 100 randomly chosen residents of Santa Cruz is $30,755 with a standard deviation of $20,450. a)
Umnica [9.8K]

Answer:

a) The standard deviation of the annual income σₓ = 2045

b)

<em>The calculated value Z = 0.608 < 1.645 at 10 % level of significance</em>

<em>Null hypothesis is accepted </em>

<em>The average annual income is greater than $32,000</em>

c)

<em>The calculated value Z = 1.0977 < 1.96 at 5 % level of significance</em>

<em>Null hypothesis is accepted </em>

<em>The average annual income is  equal to  $33,000</em>

<em>d) </em>

<em>95% of confidence intervals of the Average annual income</em>

<em>(26 ,746.8 ,34, 763.2)</em>

<u>Step-by-step explanation:</u>

Given size of the sample 'n' =100

mean of the sample x⁻ =  $30,755

The Standard deviation = $20,450

a)

The standard deviation of the annual income σₓ = \frac{S.D}{\sqrt{n} }

                                               = \frac{20,450}{\sqrt{100} }= 2045

b)

Given mean of the Population μ =  $32,000

Given size of the sample 'n' =100

mean of the sample x⁻ =  $30,755

The Standard deviation ( σ)= $20,450

<u><em>Null Hypothesis:- H₀</em></u>: μ > $32,000

<u><em>Alternative Hypothesis</em></u>:H₁: μ <  $32,000

Level of significance α = 0.10

Z = \frac{x^{-}-mean }{\frac{S.D}{\sqrt{n} } }

Z = \frac{30755-32000 }{\frac{20450}{\sqrt{100} } }

Z= |-0.608| = 0.608

<em>The calculated value Z = 0.608 < 1.645 at 10 % level of significance</em>

<em>Null hypothesis is accepted </em>

<em>The average annual income is  greater than $32,000</em>

c)

Given mean of the Population μ =  $33,000

Given size of the sample 'n' =100

mean of the sample x⁻ =  $30,755

The Standard deviation ( σ)= $20,450

<u><em>Null Hypothesis:- H₀</em></u>: μ =  $33,000

<u><em>Alternative Hypothesis</em></u>:H₁: μ ≠ $33,000

Level of significance α = 0.05

Z = \frac{x^{-}-mean }{\frac{S.D}{\sqrt{n} } }

Z = \frac{30755-33000 }{\frac{20450}{\sqrt{100} } }

Z = -1.0977

|Z|= |-1.0977| = 1.0977

The 95% of z -value = 1.96

<em>The calculated value Z = 1.0977 < 1.96 at 5 % level of significance</em>

<em>Null hypothesis is accepted </em>

<em>The average annual income is equal to  $33,000</em>

<em>d) </em>

<em>95% of confidence intervals is determined by</em>

<em></em>(x^{-} - 1.96 \frac{S.D}{\sqrt{n} } , x^{-} + 1.96 \frac{S.D}{\sqrt{n} })<em></em>

<em></em>(30755 - 1.96 \frac{20450}{\sqrt{100} } , 30755 +1.96 \frac{20450}{\sqrt{100} })<em></em>

<em>( 30 755 - 4008.2 , 30 755 +4008.2)</em>

<em>95% of confidence intervals of the Average annual income</em>

<em>(26 ,746.8 ,34, 763.2)</em>

<em></em>

<em></em>

4 0
3 years ago
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