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4 years ago

What is the rational number equivalent to 3.12

Mathematics

2 answers:

nexus9112 [7]4 years ago

4 0

You don't have to search very far. 3.12 IS a rational number.

inessss [21]4 years ago

4 0

I think it's 3.12121212...

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Find (3 × 10^4) − (5 × 10^2). A) 2.905 × 10^2 B) 2.905 × 10^4 C) 2.95 × 10^2 D) 2.95 × 10^4

Eva8 [605]

3*10^4=30000
5*10²=500
30000-500=29500
2.95*10^4=29500
so D

7 0

3 years ago

Need help ASAP can you help me solved the problem ?

aliina [53]

Answer:

A. 25

B. -25

Step-by-step explanation:

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3 years ago

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oksano4ka [1.4K]

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3 years ago

What is 0.69696969 expressed as the quotient of two integers in simplest form?

timofeeve [1]

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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:

Step(I):-

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