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Veronika [31]
3 years ago
9

Lines with the same slope and a different y intercept never intersect.

Mathematics
1 answer:
Mrac [35]3 years ago
3 0

Answer:

True

Step-by-step explanation:

Lines with the same slope and different y-intercepts are considered parallel. As they extend forever, the lines will never intersect.

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2 3 − 5 6 ·8<br><br> Simplify.
Helga [31]

Answer:

-1.33 and so on

Step-by-step explanation:

Take each fraction and plug it into a calculator. 2/3 is really 2 divide by 3. Same with the 5 and 6. You should get 0.67 and so on for 2/3 and 0.83 and so on for the 5/6. Subtract as shown in the problem. You should get 0.67-0.83= -0.1666 so on. Multiply by 8 to get -1.33 and so on. The "and so on" means this decimal is repeating. Hope this Helps!

5 0
3 years ago
Read 2 more answers
On an August day in Fairbanks, Alaska, the temperature changed by an average of 1.5° C per hour from its low of 5° C at 5:00 am.
zhuklara [117]

Answer:

9.5 C?

Step-by-step explanation:

im guessing since it's last change was an additional 4.5

5 0
3 years ago
Read 2 more answers
Based only on the given information, it is guaranteed that Ac = bc
qwelly [4]

Answer:

True

Step-by-step explanation:

True because if AC = BC, then the triangles are the same.

8 0
4 years ago
4a^2-20a+24+6y-9y^2​
natta225 [31]

Answer:

4a^2-20a+24+6y-9y^2

Step-by-step explanation:

The expression 4a^2-20a+24+6y-9y^2 can't be simplified further since the terms in this expression are unlike terms

Hope this helps ;) ❤❤❤

4 0
3 years ago
The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds,What perc
soldier1979 [14.2K]

Answer:

57.62% of players weigh between 180 and 220 pounds

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question, we have that:

\mu = 200, \sigma = 25

What percent of players weigh between 180 and 220 pounds

We have to find the pvalue of Z when X = 220 subtracted by the pvalue of Z when X = 180.

X = 220

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

Z = \frac{220 - 200}{25}

Z = 0.8

Z = 0.8 has a pvalue of 0.7881

X = 180

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

Z = \frac{180 - 200}{25}

Z = -0.8

Z = -0.8 has a pvalue of 0.2119

0.7881 - 0.2119 = 0.5762

57.62% of players weigh between 180 and 220 pounds

4 0
3 years ago
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