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3 years ago

Y=-1/4x+2 slope on a graph

Mathematics

2 answers:

Alex17521 [72]3 years ago

3 0

In this form, slope is simply the coefficient in front of <em>x.</em> Therefore, the slope of this graph is -1/4

irina1246 [14]3 years ago

3 0

Simply go up 2 on the y intercept , then once you've marked that on the graph, go down 1 over 4 since it's a negative slope and your set .

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HELP PLEASE!!! MARKING BRAINLIEST

Dimas [21]

Answer:

what you need to know is all lines equal up to 180

so basically it's 180 - 115

which is 65

comment down below if you need more explanation

Step-by-step explanation:

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2 years ago

In a class of 25 students, 24 of them took an exam in class and 1 student took a make-up exam the following day. The professor g

gavmur [86]

Answer:

The value is $\mu_n = 73.6$

Step-by-step explanation:

From the question we are told that

The total number of students is $N = 25$

The number of student that took exam in class is n = 24

The number that took make up exam is k = 1

The average score of the first 24 students is $\mu = 74$

The standard deviation is $\sigma = 8.9$

The average score of the student who took make up test is $\= x = 64$

Generally the new average is mathematically represented as

$\mu_n = \frac{( n * \mu ) + \= x }{N}$

$\mu_n = \frac{( 24 * 74 ) + 64 }{25}$

$\mu_n = 73.6$

7 0

3 years ago

Scores on the SAT are approximately normally distributed. One year, the average score on the Math SAT was 500 and the standard d

Nookie1986 [14]

Answer:

The score of a person who did better than 85% of all the test-takers was of 624.44.

Step-by-step explanation:

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.

One year, the average score on the Math SAT was 500 and the standard deviation was 120.

This means that $\mu = 500, \sigma = 120$