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LiRa [457]
3 years ago
12

Which is the slope of the line that passes through the points (−3,1) and (4,−2)?

Mathematics
1 answer:
dimaraw [331]3 years ago
4 0

Answer:

The slope of the line is -\frac{3}{7} ⇒ B

Step-by-step explanation:

Let us revise the rule of the slope

The rule of the slope of the line is m = \frac{y2-y1}{x2-x1} , where

  • (x1, y1) and (x2, y2) are two points lie on the line

∵ The line passes through the point (-3, 1) and point (4, -2)

→ That means one of them is (x1, y1) and the other is (x2, y2)

∴ x1 = -3 and y1 = 1

∴ x2 = 4 and y2 = -2

→ Substitute them in the rule of the slope above to find it

∵ m = \frac{-2-1}{4--3} = \frac{-3}{4+3}

∴ m = -\frac{3}{7}

∴ The slope of the line is -\frac{3}{7}

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Step-by-step explanation:

\sqrt{(5-1)^{2}  +(10-7)^{2}\\\\\sqrt{4^{2} + 3^{2}  \\\\\sqrt{16+9}    = \sqrt{25}  =  5

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The body temperatures of adults are normally distributed with a mean of 98.6degrees° F and a standard deviation of 0.60degrees°
Schach [20]

Answer:

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

Step-by-step explanation:

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

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.

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 = 98.6, \sigma = 0.6, n = 36, s = \frac{0.6}{\sqrt{36}} = 0.1

If 36 adults are randomly​ selected, find the probability that their mean body temperature is greater than 98.4degrees° F.

This is 1 subtracted by the pvalue of Z when X = 98.4. So

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

By the Central Limit Theorem

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

Z = \frac{98.4 - 98.6}{0.1}

Z = -2

Z = -2 has a pvalue of 0.0228

1 - 0.0228 = 0.9772

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

6 0
3 years ago
Really need help on solving this! Thanks!
natta225 [31]

Answer:

1. f(x)=3x^{2}-12x-7

number three is really hard for me though sorry hope this first one helps though.

Step-by-step explanation:

7 0
3 years ago
6+{9(2x7)}+10+12{7x3(5+10)}
choli [55]

Answer:

bro wat math is this

Step-by-step explanation:

6 0
3 years ago
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