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Neko [114]
3 years ago
6

Helpppp!! Timed !!!!!

Mathematics
2 answers:
Hitman42 [59]3 years ago
5 0

Answer:

the last one

Step-by-step explanation:

Lapatulllka [165]3 years ago
4 0

Answer:

hi

Step-by-step explanation:

i think so,it is D

hope it helps

have a nice day

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1 n +5 - 1<br> n2 + n n2 +n<br> n-6<br> n +1
chubhunter [2.5K]
1). 1n+5-1
N=26
2). n2+n n2+n
n3+n2+n
6 0
3 years ago
&lt; Prev
tangare [24]

Answer:

The answer is C

Step-by-step explanation:

3(6)^{2}+4(6)

3(36)+24

108+24

the answer is 132

4 0
3 years ago
The coach bought a hamburger and a $1.75 drink for the 10 members of the team. He spent a total of $36.00. Write and nu solve an
Angelina_Jolie [31]

Answer:

1.85

Step-by-step explanation:

equation will be 10(h+1.75)=36

hamburger price is $1.85

7 0
3 years ago
A statistician calculates that 8% of Americans own a Rolls Royce. If the statistician is right, what is the probability that the
hichkok12 [17]

Answer:

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A statistician calculates that 8% of Americans own a Rolls Royce.

This means that p = 0.08

Sample of 595:

This means that n = 595

Mean and standard deviation:

\mu = p = 0.08

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.08*0.92}{595}} = 0.0111

What is the probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%?

Proportion above 8% + 3% = 11% or below 8% - 3% = 5%. Since the normal distribution is symmetric, these probabilities are equal, and so we find one of them and multiply by 2.

Probability the proportion is less than 5%:

P-value of Z when X = 0.05. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.05 - 0.08}{0.0111}

Z = -2.7

Z = -2.7 has a p-value of 0.0035

2*0.0035 = 0.0070

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

8 0
3 years ago
the sum of two different numbers x and y is 70 and the differences when the smaller number is subtracted from the larger number
Bad White [126]

Answer:

1000

Step-by-step explanation:

Lets just say x is the bigger number. We can create two equations.

x + y = 70

x - y = 30

If we add these equations together, we get that:

2x = 100

and that

x=50

Plugging x back into any of the equations gets us that y = 20, so xy = 20*50 = 1000

5 0
4 years ago
Read 2 more answers
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