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Annette [7]
3 years ago
5

OK PLEASE HELP THIS IS DUE TONIGHT PLEASE HELPPPPP

Mathematics
2 answers:
elena-s [515]3 years ago
8 0
The answer is b. Abuse
Leviafan [203]3 years ago
4 0
The answer is A I did the math
You might be interested in
What number plus 2 less than 3 times the number equals 14
Afina-wow [57]

Obviously this will be a negative number

-2 - 14 = 5x - 3x

 

-16 = 2x

x = %28-16%29%2F2

x = -8 is the number

:

:

Check solution in the original statement: x=-8

3(-8) - 2 = 5(-8) + 14

-24 - 2 = -40 + 14

-26 = -26


7 0
3 years ago
5. What is the slope of the line ?​
guapka [62]

Answer:

it is 2/3

Step-by-step explanation:

6 0
3 years ago
10. Given Triangle GHI with G(7, 0), H (-5, 5) and I (1, 9), find the slope of HI.
Y_Kistochka [10]
H = (-5,5)
I = (1,9)

slope formula : (y2 - y1) / (x2 - x1)
slope = (9 - 5) / (1 - (-5) = 4 / (1 + 5) = 4/6 reduces to 2/3 <==
3 0
3 years ago
Can somebody explain how to do this question
evablogger [386]

Answer:

The answer is D

Step-by-step explanation:

Remember:

Contrapositive means that if you reverse the hypothesis and the conclusion the statement will mean the same thing

7 0
2 years ago
Consider the following hypothesis test: H0: μ1 - μ2 = 0 Ha: μ1 - μ2 ≠ 0 There are two independent samples taken from the two pop
nlexa [21]

Answer:

The value of the test statistic is z = 1.78

Step-by-step explanation:

Before finding the test statistic, we need to understand the central limit theorem and subtraction of normal variables.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

Sample 1:

\mu_1 = 110, s_1 = \frac{7.2}{\sqrt{81}} = 0.8

Sample 2:

\mu_2 = 108, s_2 = \frac{6.3}{\sqrt{64}} = 0.7875

The test statistic is:

z = \frac{X - \mu}{s}

In which X is the sample mean, \mu is the value tested at the null hypothesis, and s is the standard error.

0 is tested at the null hypothesis:

This means that \mu = 0

Distribution of the difference:

X = \mu_1 - \mu_2 = 110 - 108 = 2

s = \sqrt{s_1^2+s_2^2} = \sqrt{0.8^2+0.7875^2} = 1.1226

What is the value of the test statistic?

z = \frac{X - \mu}{s}

z = \frac{2 - 0}{1.1226}

z = 1.78

The value of the test statistic is z = 1.78

5 0
3 years ago
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