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Dominik [7]
3 years ago
6

What is one solution of 5x-13​

Mathematics
1 answer:
Oduvanchick [21]3 years ago
5 0

Answer:

5x-13= 12

Step-by-step explanation:

5x-13 = 12

    +13   +13

------------------------

5x= 25

x=5

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Match each pair of equivalent fractions. 1 4. 1. 4/16 8 1 4/10 ni - 17 MI10 10 2 3. 3 12/18 5 4 4. 2. 16/20 6 NEXT QUESTION ASK
koban [17]

Answer:

You divide each fraction by the highest multiple.

4/16 can be divided by 4 to get 1/4

12/18 can be divided by 6 to get 2/3

4/10 can be divided by 2 to get 2/5

16/20 can be divided by 4 to get 4/5

Step-by-step explanation:

hope this helps

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3 years ago
Evaluate -5x + 4<br> When x = -3
Julli [10]

Hey there!

-5x + 4

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= 15 + 4

= 19

Therefore, your answer is: 19

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4 years ago
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Describe a pattern shown in this sequence, and use the pattern to find the next two terms.
kotegsom [21]
The pattern is adding 8 to the previous number. 
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A researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOs) of major corpor
sesenic [268]

Answer:

Null Hypothesis, H_0 : \mu = 136 mm Hg  

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg

In this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Step-by-step explanation:

We are given that the mean systolic blood pressure, μ, of CEOs of major corporations is different from 136 mm Hg, which is the value reported in a possibly outdated journal article.

He measures the systolic blood pressures of a random sample of CEOs of major corporations and finds the mean of the sample to be 126 mm Hg and the standard deviation of the sample to be 18 mm Hg.

So, Null Hypothesis, H_0 : \mu = 136 mm Hg     {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg      {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Type I error states that the null hypothesis is rejected when in fact the null hypothesis was true. So, in this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Suppose the researcher decides not to reject the null hypothesis. It means the researcher is making a type I error.

7 0
4 years ago
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