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jonny [76]
3 years ago
15

Find the slope of the line that passes through (-34, 81) and (32, 12).

Mathematics
1 answer:
Sauron [17]3 years ago
7 0

Answer:-23/22 or -1.045

Step-by-step explanation:

slope = rise/run

Slope =y2−y1x/2−x1 (The 2's and 1's here should be subscripts sorry)

slope= 12-81 (the y's) divided by 32-(-34)( the x's)

12-81/32-(-34) (Parentehsis just to emphisis the minus a negative number  the second coordinate is -32)

slope= -69/66

simplfy to -23/22 or to decimal

slope = -1.045

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The amount of time all students in a very large undergraduate statistics course take to complete an examination is distributed c
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a) The mean is \mu = 60

b) The standard deviation is \sigma = 9

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 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.

The probability a student selected at random takes at least 55.50 minutes to complete the examination equals 0.6915.

This means that when X = 55.5, Z has a pvalue of 1 - 0.6915 = 0.3085. This means that when X = 55.5, Z = -0.5

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The probability a student selected at random takes no more than 71.52 minutes to complete the examination equals 0.8997.

This means that when X = 71.52, Z has a pvalue of 0.8997. This means that when X = 71.52, Z = 1.28

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1.28\sigma = 71.52 - \mu

\mu = 71.52 - 1.28\sigma

Since we also have that \mu = 55.5 + 0.5\sigma

55.5 + 0.5\sigma = 71.52 - 1.28\sigma

1.78\sigma = 71.52 - 55.5

\sigma = \frac{(71.52 - 55.5)}{1.78}

\sigma = 9

\mu = 55.5 + 0.5\sigma = 55.5 + 0.5*9 = 55.5 + 4.5 = 60

Question

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