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3 years ago

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Which expression is equal to the expression (7•2)^7 a. 9^7 b. 7^7•2^7 c. 7^7 2^7 d. 7•(7•2)

2 answers:

charle [14.2K]3 years ago

7 0

I'm pretty sure b would be Ur answer

Keith_Richards [23]3 years ago

5 0

$(7\cdot2)^7=7^7\cdot2^7\to\fbox{b.}$

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Circle O has a circumference of approximately 44 in. What is the approximate length of the diameter, d? inches

LenKa [72]

The distance around a rectangle or a square is as you might remember called the perimeter. The distance around a circle on the other hand is called the circumference. It is calculated as follows:

C = 2pi(r)

From this, we can solve for r and evetually solve for the diameter.

44 = 2pi(r)
r = 7.00
d = 2r
d = 14

Read more on Brainly - brainly.com/sf/question/2502148

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jeka57 [31]

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Step-by-step explanation:

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3 years ago

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lara31 [8.8K]

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6 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