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n200080 [17]
3 years ago
9

PLEASE ANSWER! <3 TYSM!

Mathematics
1 answer:
Fofino [41]3 years ago
6 0

Answer:

If the probability that she wins is i/j.

Then the probability that she does not win is (1-i)/j.

For example, if the chance that she wins is 2/3, then the chance that she doesn't win is (3-2)/3, or 1/3.

Let me know if this helps!

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Which algebraic expression represents “the train traveled nine times as far on Tuesday as on Monday”?
creativ13 [48]
" 9n " represents “the train traveled nine times as far on Tuesday as on Monday.
5 0
3 years ago
Read 2 more answers
URGENT GEO PLEASE HELP?
Naddika [18.5K]
360-120=240 so x is 240
4 0
4 years ago
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Public health officials claim that people living in low income neighborhoods have different Physical Activity Levels (PAL) than
Naddika [18.5K]

Answer:

The z-score for this data is Z = -0.26.

Step-by-step explanation:

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

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.

Central Limit Theorem

The Central Limit Theorem establishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

This is based on knowledge that in the U.S., the mean PAL is 1.65 and the standard deviation is 0.55.

This means that \mu = 1.65, \sigma = 0.55

A study took a random sample of 51 people who lived in low income neighborhoods and found their mean PAL to be 1.63.

This means that n = 51, X = 1.63

Using a one-sample z test, what is the z-score for this data

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

By the Central Limit Theorem

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

Z = \frac{1.63 - 1.65}{\frac{0.55}{\sqrt{51}}}

Z = -0.26

The z-score for this data is Z = -0.26.

4 0
3 years ago
∠A and ​ ∠B ​ are vertical angles with m∠A=x and m∠B=3x−60 . What is m∠A ?
kow [346]

Answer:

m∠A=30°

Step-by-step explanation:

we know that

<u><em>Vertical Angles</em></u> are the angles opposite each other when two lines cross.

Vertical angles always are congruent

In this problem

m∠A=m∠B ----> by vertical angles

we have

m∠A=x

m∠B=3x-60

substitute

3x-60=x

Solve for x

3x-x=60

2x=60

x=30

therefore

m∠A=30°

7 0
4 years ago
1. 4/8 in simplest form
Studentka2010 [4]
1. Divide both sides by 4 = 1/2
2. Divide both sides by 4 = 1/3
3. Divide both sides by 3 = 1/3
4. Divide both sides by 2 = 1/2
5. Divide both sides by 3 = 4/5
7 0
4 years ago
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