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3 years ago

PLZZZZ HELPP NOWWWWWWW ASAPPPP REWARD BRAINLIESTT

Mathematics

2 answers:

Airida [17]3 years ago

8 0

Answer:

15: A

16: C

Step-by-step explanation:

I have no idea but hopefully I helped you

andriy [413]3 years ago

3 0

Answer:

15) (x−3)(x−4)

16) (x+7)(x−9)

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The daily wages paid to five workers are $25, $40, $65, $55, and $50. What is the mean absolute deviation of this data set? Roun

Drupady [299]

Answer:

IDK

Step-by-step explanation:

I don't have my glasses and way to many words

3 0

4 years ago

Having to do with the $1200 per month & $35 for every phone you sell

docker41 [41]

Since her base amount is 1200, we have 1200+<number>=<number>. Since she gets 35 dollars for every phone, if the number of phones she sells is x, we have 1200+35*x=the total amount of money in a month =4000 . Subtracting 1200 from both sides, we get 2800=35*x and by dividing both sides by 35 we get x=80

7 0

4 years ago

An article written for a magazine claims that 78% of the magazine's subscribers report eating healthily the previous day. Suppos

Schach [20]

Answer:

89.44% probability that less than 80% of the sample would report eating healthily the previous day

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

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:

$p = 0.78, n = 675$

$\mu = E(X) = np = 675*0.78 = 526.5$

$\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{675*0.78*0.22} = 10.76$

What is the approximate probability that less than 80% of the sample would report eating healthily the previous day?

This is the pvalue of Z when $X = 0.8*675 = 540$ . So

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

$Z = \frac{540 - 526.5}{10.76}$

$Z = 1.25$

$Z = 1.25$ has a pvalue of 0.8944

89.44% probability that less than 80% of the sample would report eating healthily the previous day

8 0

4 years ago

A regular octagon has eight sides of equal length.A stop sign is in the shape of a regular octagon.Find the perimeter of a stop

Sladkaya [172]

Recall that the perimeter of a polygon is the sum of the lengths of each side of the polygon.

Since a regular octagon has 8 sides of equal length, and the stop sign is a regular octagon with a side length of 12 in, then its perimeter is:

$\text{Perimeter}=8\times12in\text{.}$

Simplifying the above result we get:

$\text{Perimeter}=96in\text{.}$

Answer:

$96in\text{.}$

7 0

1 year ago

A starter motor used in a space vehicle has a high rate of reliability and was reputed to start on any given occasion with proba

GuDViN [60]

Answer:

0.095163

Step-by-step explanation:

given that a starter motor used in a space vehicle has a high rate of reliability and was reputed to start on any given occasion with probability .99999

Here we find that for any start, there are exactly two outcomes either success or failure.

Also each start is independent of the other since p = 0.99999 for succss is given constant.

Thus X no of successes is binomial with p = 0.99999 and n =10000

If Y is taken as failure then Y is binomial with p' = 0.00001 and n =10000

Required probability

= the probability of at least one failure in the next 10,000 starts

= 1-P(no failure in 10000 starts)

= $1-(0.99999)^{10000} \\=0.095163$

4 0

4 years ago