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nataly862011 [7]
2 years ago
9

Plz help me I’m almost done

Mathematics
2 answers:
HACTEHA [7]2 years ago
6 0

Answer:

The answer is B because x = 4 so 12x4-3=45

Semmy [17]2 years ago
6 0

Answer:

15x + 12x - 3 + 75 = 180 \\ 27x = 180 - 75 + 3 = 108 \\ x = 108 \div 27 = 4 \\ a = 12x - 3 = 12 \times 4 - 3 = 48 - 3 = 45

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Complete the square x^2-12x+
KIM [24]

Answer:

x²-12x+36

Step-by-step explanation:

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3 years ago
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So I have to compute the following but i don't know what they mean any help?
Gelneren [198K]

Answer:

Step-by-step explanation:

This is a Combination (as in permutation vs combination) question the symbol (n r) refers to "n choose r". This is sometimes written as nCr

i.e the question is asking you to find how many combinations each will yield when you chose r items from n item without repetition and order does not matter.

I will only do the first question for you and you can just follow the same steps to solve the rest of the questions.

Recall that

nCr=\frac{n!}{(r!)(n-r)!}

Consider question a) we are given (5 1) or ₅C₁

we can see that n = 5 and r = 1

If we substitute this into the formula:

₅C₁ = (5!) / [ (1!)(5- 1)!]

= (5!) / [ (5- 1)!]

= (5!) / (4!)

= (5·4·3·2·1) / (4·3·2·1)

= 5

hence ₅C₁ = 5

7 0
3 years ago
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Write each rational number as a decimal <br> 4/7= <br> 1/3= <br> 9/20=
Setler [38]

4/7=0.571

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9/20=0.45

4 0
3 years ago
Need help ASAP plz help
cupoosta [38]
The answer is the T and A
4 0
3 years ago
​a) If the null hypothesis is​ true, you'll get a high​ P-value. ​b) If the null hypothesis is​ true, a​ P-value of 0.01 will oc
maxonik [38]

Answer:

​a) If the null hypothesis is​ true, you'll get a high​ P-value. ​(it depends)

b) If the null hypothesis is​ true, a​ P-value of 0.01 will occur about​ 1% of the time. (false)

​c) A​ P-value of 0.90 means that the null hypothesis has a good chance of being true. ​(not only has a good chance it has strong evidence)

d) A​ P-value of 0.90 is strong evidence that the null hypothesis is true.(true)

Step-by-step explanation:

Before i answer this question, you need to understand that p-values give you the clues to identify when you can <u>accept the null hypothesis ( null hypothesis is true)</u> and when you can r<u>eject the null hypothesis (null hypothesis is not true).</u>

<u />

1. When you get a small p-value  (typically ≤ 0.05) values that are less or equal to 0.05, for example 0.01,  you reject the null hypothesis (null hypothesis is not true)

2. when you get a large p-value (> 0.05) values that are greater than 0.05, for example 0.94, 0.90. you can accept the null hypothesis because  indicates weak evidence against the null hypothesis (null hypothesis is true).

<u> This is the explanation:</u>

<u />

a) if the null hypothesis is true  you`ll get a high p-value<u> only if the p-value is ≥ 0.05</u>

b) if p value is less or equal to 0.05. Null hypothesis is not true.

c) A​ P-value of 0.90 means that the null hypothesis has a good chance of being true . It not only has a good chance it is strong evidence that null hypothesis is true.

d) A p-value of 0.90 is strong evidence that null hypothesis is true. p-values that are greater than 0.05  you can accept the null hypothesis (null hypothesis is true).

<u></u>

7 0
3 years ago
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