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MAXImum [283]
3 years ago
11

Plz help, I don't get it

Mathematics
1 answer:
amm18123 years ago
8 0


Step-by-step explanation:

(a+b)^{2} =a^{2} +2ab+b^{2}

e.g.

(x+9)^{2} =x^2+2(x)(9)+81

(x+9)^{2} =x^2+18x+81                            


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Find the mean and the median of this data: 9, 6, 5, 3, 28, 6, 4, 7.
Marrrta [24]

Answer: 9 is mean and median is 6

Step-by-step explanation:

7 0
2 years ago
Is y=6, y=3x+4 consistent or inconsistent
Dominik [7]
It’s actually independent
3 0
3 years ago
Daniel has 6 teaspoons of salt. The ratio of teaspoons to tablespoons is 3 :1. How many tablespoons of salt does Daniel have
ddd [48]

Answer:

2

Step-by-step explanation:

because for every 3 teaspoons of salt he will have 1 tablespoon of salt and 6 divided by 3 is 2

8 0
3 years ago
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean
Dovator [93]

Answer:

B) 0.0069

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 normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

In this question, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

Find the probability that their mean rebuild time exceeds 9.1 hours.

This is 1 subtracted by the pvalue of Z when X = 9.1. So

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

By the Central Limit Theorem

Z = \frac{9.1 - 8.4}{0.2846}

Z = 2.46

Z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069

So the answer is B.

6 0
3 years ago
Find the value of x and y in the diagram below.
allochka39001 [22]

Answer:

It's D

Step-by-step explanation:

I can't see the option D

But, A,B, and C are absolutely incorrect.

4 0
3 years ago
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