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2 years ago

5

im a senior trying to graduate my school has me in the wrong classes i have adhd and i was supposed to be in diffrent classes bu

t anyways i need help bad its due tn at 12 and if i dont get them in i dont graduate

1 answer:

CaHeK987 [17]2 years ago

8 0

Step-by-step explanation:

hope you can send the questions again because your question is to long to answer everything. I answered 1,2,3,4

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A number is 2/3 if another number. the sum of the numbers is 50. find the numbers

slava [35]

A number is 2/3 of another number. Both added together equals 50.

One of these numbers consists of three parts, and the other consists of two of those three parts. So, there are 5 equal parts in total.

Thus we need to divide 50 by 5. 50 divided by 5 equals <u>10</u>.

The first number, which has three parts, is 30. The second number, which as two parts, is 20.

I hope this makes sense to you. :D Good luck in all your studies!

3 0

3 years ago

Simplify (7^6)^2 .....................................

marysya [2.9K]

Answer:

13,841,287,201

Step-by-step explanation:

simply the parenthesis:

7^6 or 7 times itself 6 times: 7x7x7x7x7x7

which equals 117,649 and then multiply that number by itself

117,649x117,649 and you should get 13,841,287,201

5 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

Solve the square root equation.

Neko [114]

Answer:

x = 9

Step-by-step explanation:

subtract 5 from 11 with = 6

divide by -2 which = -3

square your answer so (-3)² = 9

4 0

2 years ago

Read 2 more answers

Use technology and the given confidence level and sample data to find the confidence interval for the population mean mu . assum

attashe74 [19]

To solve for the confidence interval for the population mean mu, we can use the formula:

Confidence interval = x ± z * s / sqrt (n)

where x is the sample mean, s is the standard deviation, and n is the sample size

At 95% confidence level, the value of z is equivalent to:

z = 1.96

Therefore substituting the given values into the equation:

Confidence interval = 3 ± 1.96 * 5.8 / sqrt (51)

Confidence interval = 3 ± 1.59

Confidence interval = 1.41, 4.59

Therefore the population mean mu has an approximate range or confidence interval from 1.41 kg to 4.59 kg.

6 0

3 years ago