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Cerrena [4.2K]
3 years ago
13

Help please, I don't know how to answer....

Mathematics
1 answer:
Alchen [17]3 years ago
6 0

Step-by-step explanation:

the last one

x^2+2x+1 R(-5)

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This is not math but plssss help here are some points
Rufina [12.5K]

Answer:

I say the answer is ball 4

Step-by-step explanation:

The reason why I chose ball 4 was because ball 4 has less mass and the mass for ball 4 is only 300 and I'm pretty sure if you rolled ball 4 it would've went the farthest because it's mass is lesser than the others.

8 0
3 years ago
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Help please will mark Brainlyest
Juliette [100K]

Answer:

answer is .

aldult = 3

children = 2.5

7 0
2 years ago
He gets paid £6.80 per hour<br> how many hours for 9 and half hours
Akimi4 [234]

Answer: 64.60

Step-by-step explanation:

lets do 6.80x9

= 61.20

for the half an hour, divide 6.80 by 2

it would be 3.40

61.20+3.40= 64.60

5 0
3 years ago
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6 = 14 - x <br> One step equations review
Ymorist [56]

Answer:

x = 8

Step-by-step explanation:

6 = 14 - x

chance the equation around so it is solvable

14 - x = 6

14 - 6 = x

now solve

14 - 6 = 8

that means x equals 8 so

6 = 14 - 8

4 0
2 years ago
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A random sample of 40 binomial trials resulted in 14 successes. test the claim that the population proportion of successes does
mylen [45]

Using the z-distribution, since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

<h3>What are the hypotheses tested?</h3>

At the null hypotheses, we test if the proportion of successes equals 0.5, hence:

H_0: p = 0.5

At the alternative hypotheses, we test if it does not equal, hence:

H_1: p \neq 0.5

<h3>What is the test statistic?</h3>

The test statistic is given by:

z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}

In which:

  • \overline{p} is the sample proportion.
  • p is the proportion tested at the null hypothesis.
  • n is the sample size.

For this problem, the parameters are given by:

n = 40, \overline{p} = \frac{14}{40} = 0.35, p = 0.5

Hence the test statistic is given by:

z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}

z = (0.35 - 0.5)/(0.5/sqrt(40))

z = -1.9.

<h3>What is the decision?</h3>

Using a z-distribution calculator, considering a two-tailed test, as we are testing if the proportion is different of a value, with z = -1.9, we get that the p-value of the test is of 0.057.

Since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

More can be learned about the z-distribution at brainly.com/question/16313918

#SPJ4

5 0
1 year ago
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