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sleet_krkn [62]
3 years ago
8

What is the slope of y = -4x – 3

Mathematics
1 answer:
ollegr [7]3 years ago
8 0

Answer:

-4

Step-by-step explanation:

bc the equation is y=mx+b and m is y/x so -4

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PLEASE, PLEASE HELP im completely lost :'(
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The square root of 4/16 is 2/4 or 1/2 in both cases. You take the square root of the top and bottom separately and put it into a fraction. The square root of 36/49 is 6/7
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A washer and a dryer cost $757 combined. The washer costs $57 more than the dryer. What is the cost of the dryer?
leva [86]

Answer:

814 coz when you add these number you got 814

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Read 2 more answers
30-60-90 triangle..find the value of x
stealth61 [152]

Answer:

21/√3=7√3 or 12.12 simplified

Step-by-step explanation:

Here is the formulas 30-60-90 triangle: hypotenuse = 2short leg short leg = nhypotenuse/2 long leg = short leg√3 short leg = long leg/√3

4 0
3 years ago
The mean cost of a five pound bag of shrimp is 50 dollars with a variance of 64. If a sample of 43 bags of shrimp is randomly se
anyanavicka [17]

Answer:

0.4122 = 41.22% probability that the sample mean would differ from the true mean by greater than 1 dollar

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(which is the square root of the variance) \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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 50, \sigma = \sqrt{64} = 8, n = 43, s = \frac{8}{\sqrt{43}} = 1.22

What is the probability that the sample mean would differ from the true mean by greater than 1 dollar?

Either it differs by 1 dollar or less, or it differs by more than one dollar. The sum of the probabilities of these events is decimal 1.

Probability it differs by 1 dollar or less:

pvalue of Z when X = 50+1 = 51 subtracted by the pvalue of Z when X = 50 - 1 = 49.

X = 51

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

By the Central Limit Theorem

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

Z = \frac{51-50}{1.22}

Z = 0.82

Z = 0.82 has a pvalue of 0.7939

X = 49

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

Z = \frac{49-50}{1.22}

Z = -0.82

Z = -0.82 has a pvalue of 0.2061

0.7939 - 0.2061 = 0.5878

Probability it differs by more than 1 dollar:

p + 0.5878 = 1

p = 0.4122

0.4122 = 41.22% probability that the sample mean would differ from the true mean by greater than 1 dollar

4 0
4 years ago
Hunter sells some books to 4 of his friends. He earns $53.00. If each friend spent the same amount of money, how much money did
labwork [276]

Step-by-step explanation:

Divide $53.00 by 4 to represent how much each friend has paid for.

\frac{53}{4} = \$ 13.25

Each friend has paid $13.25 to Hunter.

3 0
3 years ago
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