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amm1812
3 years ago
10

How do you do all these problems? Don’t do 20 and 21.

Mathematics
1 answer:
sergiy2304 [10]3 years ago
3 0
17. He needs 2cupsof flour to make 20 biscuits so he needs x cups if flour to make 30 biscuits
\frac{2}{20}  =  \frac{x}{30}
x = \frac{2 \times 30 }{20}  =  \frac{60}{20}  = 3
So he needs 3 cups of flour to make 30 biscuits.
So the answer is B

18. She charges 30$ for 2 hours so she charges x$ for 5hours.
\frac{30}{2}  =  \frac{x}{5}
x =  \frac{30 \times 5}{2}  =  \frac{150}{2}  = 75
so she charges 75$ for 5 hours.
So the answer is I

19. (an hour is 60 minutes)
She walks 2 blocks in 15 minutes so she walks x blocks in 60 minutes.
\frac{2}{15}  =  \frac{x}{60}
x =  \frac{2 \times 60}{15}  = \frac{120}{15}  = 8
So she walks 8 blocks in 60 minutes.
So; the answer is: 8

please mark as brainliest.
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What is the slope of y = -4?
I am Lyosha [343]

Answer:

slope is 0 and the y-intercept is -4!

Step-by-step explanation:

4 0
3 years ago
According to data released by FiveThirty Eight (data drawn on Monday, August 17th, 2020), Donald Trump wins an Electoral College
sineoko [7]

Answer:

a) P = 0.274925

b) required confidence interval = (0.2705589, 0.2793344)

c) FALSE

d) FALSE

e) TRUE

f) There is still probability that he would win. And it would be highly unusual if he wins assuming that the true population proportion is 0.274925.

Step-by-step explanation:

a)

PROBABILITY

since total number of simulations is 40,000 and and number of times Donald Trump wins an Electoral College majority in the 2020 US Presidential Election is  10,997

so the required Probability will be 10,997 divided by 40,000

P = 10997 / 40000 = 0.274925

b)

To get 95% confidence interval for the parameter in question a

(using R)

>prop.test(10997,40000)

OUTPUT

1 - Sample proportion test with continuity correction

data: 10997 out of 40000, null probability 0.5

x-squared = 8104.5, df = 1, p-value < 2.23-16

alternative hypothesis : true p ≠ 0.5

0.2705589  0.2793344

sample estimate

p

0.274925

∴ required confidence interval = (0.2705589, 0.2793344)

c)

FALSE

This is a wrong interpretation of a confidence interval. It indicates that there is 95% chance that the confidence interval you calculated contains the true proportion. This is because when you perform several times, 95% of those intervals would contain the true proportion but as the confidence intervals will vary so you can't say that the true proportion is in any interval with 95% probability.

d)

FALSE

Once again, this is a wrong interpretation of a confidence interval. The confidence interval tells us about the population parameter and not the sample statistic.

e)

TRUE

This is a correct interpretation of a confidence interval. It indicates that if we perform sampling with same sample size (40000) several times and calculate the 95% confidence interval of population proportion for each of them, then 95% of these confidence interval should contain the population parameter.

f)

The simulation results obtained doesn't always comply with the true population. Also, result of one simulation can't be taken for granted. We need several simulations to come to a conclusion. So, we can never ever guarantee based on a simulation result to say that Donald Trump 'Won't' or 'Shouldn't' win.

There is still probability that he would win. And it would be highly unusual if he wins assuming that the true population proportion is 0.274925.

5 0
3 years ago
Estimate the length. Then use cubes to measure
NemiM [27]

Answer:

10 cubes

Step-by-step explanation:

7 0
3 years ago
Steps to solve: 28x - 12 + 2x - 4 - x
Musya8 [376]

Let's simplify by step

28x-12+2x-4-x

28x+-12+2x+-4+-x

Combine like terms

28x+-12+2x+-4+-x

(28x+2x+-x)+(-12+-4)

29x+-16

= 29x-16


I hope that's help !

8 0
3 years ago
Add [ -6 -2 2] + [-3 2 1]
Troyanec [42]
-6 (negative six) is the answer
8 0
3 years ago
Read 2 more answers
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