Ask question

Ask question

All categories

2 years ago

15

HELP PLEASE

2 answers:

julsineya [31]2 years ago

7 0

Answer:

B) Negative

Step-by-step explanation:

The question states that as the number of people increases, the price of each seat decreases. Therefore this is a negative trend, because the increase in one variable leads to the decrease in the other variable.

Hope this helped!

Jet001 [13]2 years ago

6 0

Answer: B) Negative

Step-by-step explanation:

You might be interested in

8 + 6x - 10x = 16 - 8x

Svetllana [295]

The answer is x=2

Remember, first add/substract the like terms, in this case 6x-10x to get -4x. Then, add 8x to negative 8x to cancel it out and do the same thing to -4x. Do this with all your terms and you should get 4x=8. Then divide both sides by 4 to get x=2.

4 0

2 years ago

Please help me!!!!!!

antiseptic1488 [7]

My best guess is c= 4.20h
Sorry if I’m wrong

5 0

2 years ago

Read 2 more answers

Write an equation of the line in slope-intercept form. (Pls answer fast)<br><br> Y=

nydimaria [60]

Answer:

$y = - \frac{1}{4} x + 3$

6 0

2 years ago

Use the distance formula to find the distance if point a is 3,4 and point b is 1,2

Fed [463]

Answer:

square root of 8

Step-by-step explanation:

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

$p_{2} = \frac{47}{52} = 0.9038$

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

7 0

3 years ago