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Anni [7]
3 years ago
5

-0.8 written as a fraction is _____.

Mathematics
2 answers:
Degger [83]3 years ago
6 0
-0.8 = -0.8/10
-0.8 x 10 = -8
<span>1 × 10 = 10</span>
<span>-8/10
Simplified = -4/5 
</span>

zheka24 [161]3 years ago
4 0
It would -80% as a percentage and than as a fraction it would be -80/100
than you have to simplify it so using common factors, you know that 20 goes into each number...so divide 20 from the top and bottom which will give you...
-4/5
So your answer is -4/-5
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What is the slope-intercept form of the equation of the line that passes through the point (–6, 1) and is perpendicular to the g
Morgarella [4.7K]

Answer:

Step-by-step explanation:

3y = -2x - 5

y = -2/3x - 5/3

perp: 3/2

y - 1 = 3/2(x + 6)

y - 1 = 3/2x + 9

y = 3/2x + 10

7 0
3 years ago
50 pts!!!! Luciana's laptop has 3,000 pictures. The size of the pictures is skewed to the right, with a mean of 3.7MB and a stan
skelet666 [1.2K]

Answer:

<u></u>

  • <u>Part A: No, you cannot.</u>

<u></u>

  • <u>Part B: 0.4491</u>

Explanation:

<u>Part A:</u>

The mean of samples of symmetrical (bell shaped) distributions follow a normal distribution pattern.

Thus, for symmetrical distributions you can use the z-score tables to make calculations that permit calculate probabilities for particular values.

For <em>skewed </em>distributions, in general, the samples do not follow a normal distribution pattern, except that the samples are large.

Since <em>a sample of 20 pictures</em> is not large enough, the answer to this question is negative: <em>you cannot accurately calculate the probability that the mean picture size is more than 3.8MB for an SRS (skewed right sample) of 20 pictures.</em>

<u>Part B.</u>

For large samples, the<em> Central Limit Theorem</em> will let you work with samples from skewed distributions.

Although the distribution of a population is skewed, the <em>Central Limit Theorem</em> states that  large samples follow a normal distribution shape.

It is accepted that samples of 30 data is large enough to use the <em>Central Limit Theorem.</em>

Hence, you can use the z-core tables for standard normal distributions to calculate the probabilities for a <em>random sample of 60 pictures</em> instead of 20.

The z-score is calculated with the formula:

  • z-score = (value - mean/ (standard deviation).
  • z=(x-\mu )/\sigma

Here, mean = 3.7MB, value = 3.8MB, and standard deviation = 0.78MB.

Thus:

         z=(3.7M-3.8MB)/(0.78MB)=-0.128

Then, you must use the z-score table to find the probability that the z-score is greater than - 0.128.

There are tables that show the cumulative probability in the right end and tables that show the cumulative probability in the left end of a normal standard distribution .

The probability that a z-score is greater than -0.128 is taken directly from a table with the cumulative probability in the left end. It is 0.4491.

4 0
3 years ago
Robert drives 45 miles in 3 hours from New York City to New Jersey. How far will he drive in 5 hours?
fenix001 [56]
Ok so the awnser is 75 because 45 ÷ 3 is 15 and so 2 more hours so I added 30 to the 45 and I got 75 I think that's right please correct me
3 0
3 years ago
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lakkis [162]

Answer:

Step-by-step explanation:

By the Pythagorean Theorem

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Yes, y=-9x is proportional
3 0
3 years ago
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