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coldgirl [10]
3 years ago
13

Plz help me

Mathematics
1 answer:
pochemuha3 years ago
4 0

Step-by-step explanation:

1-a ,2-c,3_d

i thibk is you're answer

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Plz help ASAP! Please! I will award Brainliest!!
dybincka [34]
  • IG is a straight line therefore m(<JHG)=180-156=24
  • since HJ is parallel to EF
  • therefore m(<JHF)=m(<HFE)
  • 24+x=2x
  • X=24

3 0
3 years ago
Suppose a subdivision on the southwest side of Denver, Colorado, contains 1,500 houses. The subdivision was built in 1983. A sam
mihalych1998 [28]

Answer:

0.0268 = 2.68% probability that the sample average is greater than $229,500

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

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.

Single house:

The mean appraised value of a house in this subdivision for all houses is $228,000, with a standard deviation of $8,500, which means that \mu = 228, \sigma = 8.5

Sample:

Sample of 120, so, by the central limit theorem, n = 120, s = \frac{8.5}{\sqrt{120}} = 0.7759

What is the probability that the sample average is greater than $229,500?

This is 1 subtracted by the pvalue of Z when X = 229.5. So

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

By the Central Limit Theorem

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

Z = \frac{229.5 - 228}{0.7759}

Z = 1.93

Z = 1.93 has a pvalue of 0.9732

1 - 0.9732 = 0.0268

0.0268 = 2.68% probability that the sample average is greater than $229,500

7 0
3 years ago
Analyze the graph of the function f(x) to complete the statement.
ozzi

f(x) is the same as y, so we can say y = f(x)

Writing f(x) < 0 means we want to find when y < 0.

Visually, we are looking at the graph when the curve is below the horizontal x axis.

This is the portion in red that I have marked in the diagram (see attached image below). I apologize for the numbers being blurry.

The left red portion is from negative infinity to -3. In terms of a compound inequality we write -\infty < x < -3 which in interval notation is (-\infty, -3). The curved parenthesis tells the reader to exclude both endpoints.

The right red portion is from x = -1.1 to x = 0.9, excluding both endpoints. So we say -1.1 < x < 0.9 which becomes the interval notation (-1.1, 0.9). This is not ordered pair notation even though it looks identical to it.

-------------

<h3>Answer in interval notation:  (-\infty, -3) \cup (-1.1, 0.9)</h3>

The "U" means "set union" which glues together the two separate intervals. Basically it's saying "x is either in the interval (-infinity, -3) or it is in the interval (-1.1, 0.9)"

5 0
3 years ago
Select the correct answer.
pantera1 [17]

Answer:

B.

Step-by-step explanation:

???

4 0
4 years ago
Read 2 more answers
I need help ;^; pleeeeease​
GREYUIT [131]

Answer:

- 9 \sqrt{48}  - 8 \sqrt{12}  \\  =  - 9 \times 4 \sqrt{3}  - 8 \times 2 \sqrt{3}  \\ =   - 36 \sqrt{3}  - 16 \sqrt{3}  \\ =   \sqrt{3} ( - 36 - 16) \\ =   \sqrt{3}  \times  - 52 \\  =  - 52  \sqrt{3}  \\ thank \: you

7 0
3 years ago
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