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PIT_PIT [208]
3 years ago
7

Pick the correct description of the line 4x-2y=10

Mathematics
1 answer:
schepotkina [342]3 years ago
8 0

ANSWER

Tilted right upwards

EXPLANATION

The given line is 4x-2y=10.

This is an equation of a straight line given in standard form:

We rewrite the equation in slope-intercept form to obtain:

- 2y =  - 4x + 10

Divide through by -2,

y = 2x - 5

This line is now in the slope-intercept form, y=mx+c, where m=2 is the slope.

Since the slope is positive, moving from left to right , the line tilts upwards.

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Answer:

A

Step-by-step explanation:

9 - (-3) = 12/3= 4

3-0

3 0
3 years ago
A group of researchers wants to know whether men are more likely than women to contract a novel coronavirus. They surveyed two r
olasank [31]

Answer:

Test statistic Z= 0.13008 < 1.96 at 0.10 level of significance

null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

Step-by-step explanation:

<em>Step(I)</em>:-

Given surveyed two random samples of 390 men and 360 women who were tested

first sample proportion

                    p_{1} = \frac{360}{390} = 0.9230

second sample proportion

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Step(ii):-

Null hypothesis : H₀ : There is no difference  proportion of positive tests among men is different from the proportion of positive tests among women

Alternative Hypothesis:-

There is difference between proportion of positive tests among men is different from the proportion of positive tests among women

 

Z = \frac{p_{1}- p_{2} }{\sqrt{PQ(\frac{1}{n_{1} }+\frac{1}{n_{2} }  } }

where

          P = \frac{n_{1}p_{1} +n_{2}  p_{2} }{n_{1}+n_{2}  }

         P =  0.920

Z= \frac{0.9230-0.9038}{\sqrt{0.920 X0.08(\frac{1}{390}+\frac{1}{52}  } )}

Test statistic Z =  0.13008

Level of significance = 0.10

The critical value Z₀.₁₀ = 1.645

Test statistic Z=0.13008 < 1.645 at 0.1 level of significance

Null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women







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