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Orlov [11]
3 years ago
13

What is the slope of the line shown on the graph?

Mathematics
2 answers:
rewona [7]3 years ago
8 0
The answer is B because it goes up 1 and over 3
ale4655 [162]3 years ago
3 0
Hi do u want me to give you the answer or give u the formula?

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Help please <br><br><br> 10 points btw
Rashid [163]
0.591 is the answer my dood
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3 years ago
A computer randomly picks a number from the group 75, 76, 77, 78, 79.
Scilla [17]
2/5 or 0.4 Because only two of the five numbers are even or greater than 78
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Why do certificates of deposit tend to offer better interest rates than money market accounts?
Marta_Voda [28]

Answer:

A

Step-by-step explanation:


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4 years ago
X+X+14=90 what are the steps to sloving this equations
SVETLANKA909090 [29]
Subtract 14 from 90 then find out what adds up to get to 76 then put down what you want that is how I was told how to do
6 0
4 years ago
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A university interested in tracking its honors program believes that the proportion of graduates with a GPA of 3.00 or below is
insens350 [35]

Answer:

The value of the test statistic and its associated p-value at the 5% significance level are -1.54 and 0.9382, respectively.

Step-by-step explanation:

A university interested in tracking its honors program believes that the proportion of graduates with a GPA of 3.00 or below is less than 0.16.

This means that the null hypothesis is:

H_{0}: p \geq 0.16

Testing this hypothesis, means that the alternate hypothesis is:

H_{a}: p > 0.16

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

0.16 is tested at the null hypothesis:

This means that \mu = 0.16, \sigma = \sqrt{0.16*0.84}

In a sample of 200 graduates, 24 students have a GPA of 3.00 or below.

This means that n = 200, X = \frac{24}{200} = 0.12

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{0.12 - 0.16}{\frac{\sqrt{0.16*0.84}}{\sqrt{200}}}

z = -1.54

Pvalue:

The pvalue is the probability of finding a sample mean above 0.12, which is 1 subtracted by the pvalue of z = -1.54.

Looking at the z-table, z = -1.54 has a pvalue of 0.0618

1 - 0.0618 = 0.9382

The value of the test statistic and its associated p-value at the 5% significance level are -1.54 and 0.9382, respectively.

6 0
3 years ago
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