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uranmaximum [27]
3 years ago
12

Avni designs a game in which a player either wins or loses 4 points during each turn. Which equation represents all numbers of p

oints, p, a player may have after his or her first turn of the game?
Mathematics
2 answers:
alisha [4.7K]3 years ago
8 0
4w-4L=p
w=wins
L=losses
kupik [55]3 years ago
4 0

Answer is C !!! on ed

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Answer:

0.73

Step-by-step explanation:

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what machine can make 138,800 small paper clip in one day and another machine can make 84,250 large paper clips in one day how m
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There 54,550 more smaller paper clips than larger paper clips.
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PLEASE SHOW HOW YOU HOW OYUR ANSWER!!!!<br><br>18≥5K+4K
Amiraneli [1.4K]

Answer:

k≤2

Step-by-step explanation:

18≥5k+4k

Step 1: Simplify both sides of the inequality.

18≥9k

Step 2: Flip the equation.

9k≤18

Step 3: Divide both sides by 9.

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What is 1 standard deviation on a
PilotLPTM [1.2K]

Answer:

  D. The distance from the mean to an inflection point

Step-by-step explanation:

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  p(x)=\dfrac{1}{\sqrt{2\pi}}e^{-\dfrac{x^2}{2}}

In fact, the inflection points are at x = ±1, where the curve changes from being concave downward to concave upward.

So, one standard deviation is the distance from the mean to an inflection point.

3 0
3 years ago
A charity receives 2025 contributions. Contributions are assumed to be mutually independent and identically distributed with mea
uysha [10]

Answer:

The 90th percentile for the distribution of the total contributions is $6,342,525.

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 normally distributed samples are 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.

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.

For sums of size n, the mean is \mu*n and the standard deviation is s = \sqrt{n}*\sigma

In this question:

n = 2025, \mu = 3125*2025 = 6328125, \sigma = \sqrt{2025}*250 = 11250

The 90th percentile for the distribution of the total contributions

This is X when Z has a pvalue of 0.9. So it is X when Z = 1.28. Then

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

By the Central Limit Theorem

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

1.28 = \frac{X - 6328125}{11250}

X - 6328125 = 1.28*11250

X = 6342525

The 90th percentile for the distribution of the total contributions is $6,342,525.

3 0
3 years ago
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