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makkiz [27]
3 years ago
10

The points (-1, 5) and (7, r) lie on a line with slope 5/4 Find the missing coordinate r.

Mathematics
1 answer:
Zanzabum3 years ago
5 0

Answer:

15

Step-by-step explanation:

7-(-1) is 8

8 divided by 4 (x or “run” of slope) is two

Two times five (y/rise of slope) is ten

5 (from original point -1,5) plus 10 is 15

(7,15)

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Help please, Topic: Arrangments
Pavlova-9 [17]

Answer:

360

Step-by-step explanation:

Given

Digits: 0 to 5

Required

Number of 4 digit passcode that can be generated.

First, we need to get the number of usable digits.

Digits 0 to 5 = 0,1,2,3,4,5

Number of digits = 6

To make a 4 digit passcode;

The first digit can be taken from any of 6 digits

The second digit, any of the remaining 5 digits

The third digit, any of the remaining 4 digits

The fourth digit, any of the remaining 3 digits

Number of passcode = 6 * 5 * 4 * 3

Number of passcode = 360

6 0
3 years ago
Solve the equation for x. x + 3 /6 = x - 6/ 3 A) 9 B) 12 C) 15 D) 18
Strike441 [17]

Answer:

a

Step-by-step explanation:

7 0
4 years ago
6/100 equals what as a decimal?
Dahasolnce [82]

Answer:

0.06  

Step-by-step explanation:

hope this helps

6 divide by 100= 0.06

3 0
3 years ago
Read 2 more answers
PLZ HELP ASAP!!!!!!!!!!!!!!!!!
eimsori [14]
B and C because both bases are squares
8 0
3 years ago
The Office of Student Services at a large western state university maintains information on the study habits of its full-time st
Vera_Pavlovna [14]

Answer:

0.8254 = 82.54% probability that the mean of this sample is between 19.25 hours and 21.0 hours

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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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.

Mean of 20 hours, standard deviation of 6:

This means that \mu = 20, \sigma = 6

Sample of 150:

This means that n = 150, s = \frac{6}{\sqrt{150}}

What is the probability that the mean of this sample is between 19.25 hours and 21.0 hours?

This is the p-value of Z when X = 21 subtracted by the p-value of Z when X = 19.5. So

X = 21

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

By the Central Limit Theorem

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

Z = \frac{21 - 20}{\frac{6}{\sqrt{150}}}

Z = 2.04

Z = 2.04 has a p-value of 0.9793

X = 19.5

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

Z = \frac{19.5 - 20}{\frac{6}{\sqrt{150}}}

Z = -1.02

Z = -1.02 has a p-value of 0.1539

0.9793 - 0.1539 = 0.8254

0.8254 = 82.54% probability that the mean of this sample is between 19.25 hours and 21.0 hours

3 0
3 years ago
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