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coldgirl [10]
3 years ago
6

What is the volume of the solid?

Mathematics
1 answer:
Hitman42 [59]3 years ago
5 0
3*3*3 = 27 and that is your answer
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1 2 3 4 5 6 7 8 9 10 TIME REMAINING 01:47:21 Which best describes the relationship between the successive terms in the sequence
ehidna [41]

Answer: ARITHMETIC PROGRESSION

Step-by-step explanation:

An arithmetic progression where the indices are defines as

FIRST TERM ; 1

COMMON DIFFERENCE ; 1

NUMBER OF TERMS ;1

LAST TERM ; 10

SUM OF TERMS ; 55

3 0
3 years ago
Tammy did a survey to answer the following question: what is the average reading score of grade 6 students?
Minchanka [31]

Answer:

A

Step-by-step explanation:

The mean/average is the sum of all the numbers divided by the number of numbers.

It is given that mean is 4.5 points. <em>At this point, it means that there might be students scoring less than 4.5 and students scoring greater than 4.5 BUT the average comes to be 4.5</em>.

BUT SINCE IT IS GIVEN THAT EACH STUDENT SCORED THE SAME, the only way that this can be true is when EVERY STUDENT SCORES 4.5. This way, the AVERAGE/MEAN will be 4.5

Hence, the correct answer is A.

5 0
3 years ago
Read 2 more answers
??????????????????????
11Alexandr11 [23.1K]
The answer is a  
hope this helps

7 0
3 years ago
2.Assume that x is a binomial random variable with n=1000 and p=0.50. Use a normal approximation to find each of the following p
natima [27]

Answer:

a) 0.4761

b) 0.2118

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 1000, p = 0.5

So

\mu = E(X) = np = 1000*0.5 = 5000

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{1000*0.5*0.5} = 15.81

a)P(x>500)

This is 1 subtracted by the pvalue of Z when X = 501. So

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

Z = \frac{501 - 500}{15.81}

Z = 0.06

Z = 0.06 has a pvalue of 0.5239

1 - 0.5239 = 0.4761

b)P(490≤x<500)

This is the pvalue of Z when X = 499 subtracted by the pvalue of Z when X = 490. So

X = 499

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

Z = \frac{499 - 500}{15.81}

Z = -0.06

Z = -0.06 has a pvalue of 0.4761

X = 490

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

Z = \frac{490 - 500}{15.81}

Z = -0.63

Z = -0.63 has a pvalue of 0.2643

0.4761 - 0.2643 = 0.2118

6 0
3 years ago
Which value for x makes the sentence true?
marshall27 [118]

43/76

This is the answer

3 0
3 years ago
Read 2 more answers
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