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Elan Coil [88]
3 years ago
12

Solve, showing all work: (4x − 6) + (3x + 6) Note: Drop the parenthesis and add like terms.

Mathematics
1 answer:
qwelly [4]3 years ago
4 0

Answer:

The answer is 7x

Step-by-step explanation:

To solve the problem drop the brackets and add the like terms

∵ (4x - 6) + (3x + 6)

- There is no number multiplied by each bracket so drop the

    brackets without any change in the values inside them

∴ (4x - 6) + (3x + 6) = 4x - 6 + 3x + 6

- The terms 4x and 3x are like terms, so add them

∵ 4x + 3x = 7x

- The terms -6 and 6 are like terms, so add them

∵ -6 + 6 = 0

∴ 4x - 6 + 3x + 6 = (4x + 3x) + (-6 + 6)

∵ (4x + 3x) + (-6 + 6) = 7x + 0

∴ 4x - 6 + 3x + 6 = 7x

∴ (4x - 6) + (3x + 6) = 7x

The answer is 7x

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yawa3891 [41]

Answer:

Step-by-step explanation:

a^2+b^2=c^2

7^2+12^2=c^2

=193^2

find the square root of 193

13.9ish

8 0
3 years ago
Match the verbal expression (term) with its algebraic expression (definition).
serious [3.7K]

Answer:

match

Step-by-step explanation:

4 0
3 years ago
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Answer:

Step-by-step explanation:

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7 0
3 years ago
At Western University the historical mean of scholarship examination scores for freshman applications is 900. A historical popul
dmitriy555 [2]

Answer:

The interval is [910.053; 959.946]

p-value 0.00596

Decision: Reject null hypothesis.

Step-by-step explanation:

Hello!

You need to make a 95% Confidence Interval for the population mean of scholarship examination scores for the freshman.

It is known to be μ= 900 and the assistant dean wants to test if it changed.

The study variable is:

X: -scholarship examination score of one applicant.

population variance is known as σ²= (180)²

Assuming that the variable has a normal distribution the formula for the interval is:

X[bar] ± Z_{1-\alpha /2}*\frac{S}{\sqrt{n} }

935 ± 1.96*\frac{180}{\sqrt{200} }

The interval is [910.053; 959.946]

To test if the examination scores have changed the hypothesis is:

H₀: μ = 900

H₁: μ ≠ 900

α: 0.05

To use a Confidence Interval the following conditions should be met:

1) Both the test and the interval should be made for the same parameter.

2) The hypothesis has to be two_tailed

3) Confidence level 1 - α and significance level α should be complementary.

To make the decision you have to see if the value given to the population mean in the null hypothesis is contained or not by the interval.

If the value is contained by the interval, you do not reject the null hypothesis.

If the value is not contained by the interval, then the decision is to reject the null hypothesis.

Since 900 is not contained by the 95% Confidence interval [910.05; 959.95], the decision is to reject the null hypothesis. This means that the scholarship examination scores of freshman applications have changed.

To calculate the p-value you have to know the value of the statstic under the null hypothesis:

Z= \frac{935-900}{\frac{180}{\sqrt{200} } }= 2.749 ≅ 2.75

p-value is

P(Z<2.75) + P(Z>2.75)= P(Z<2.75) + (1 - P(Z<2.75))= 0.00298+ (1 - 0.9702= 0.00596

I hope it helps!

4 0
3 years ago
Joyce baked a cake using 2 3/4 cups of brown sugar and 1 3/4 cups of powdered sugar. How many cups of sugar did she use in her c
BartSMP [9]
So she has used two kinds of sugar, brown and powdered.

She used 2 \frac{3}{4} cups of brown sugar and  1 \frac{3}{4} cups of powdered sugar: we need to add the two numbers:

2 \frac{3}{4}+1 \frac{3}{4}= 2+1+\frac{3}{4}+ \frac{3}{4}=3\frac{6}{4}=3+1+ \frac{2}{4}  =4 \frac{2}{4}=4 \frac{1}{2}=4.5

so the correct answer is 4.5
4 0
4 years ago
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