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victus00 [196]
3 years ago
8

Which expression is equivalent to 2^4 ⋅ 2^−7?

Mathematics
2 answers:
yaroslaw [1]3 years ago
8 0
Remember
(x^m)(x^n)=x^{m+n}
and
x^{-m}=\frac{1}{x^m}

so
(2^4)(2^{-7})=
2^{4-7}=
2^{-3}=
\frac{1}{2^3}=
\frac{1}{8}
ivanzaharov [21]3 years ago
5 0

Answer:

The answer is 1 over 2^3

Step-by-step explanation:

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Anuta_ua [19.1K]
21x - 19 = 3x + 17   |add 19 to both sides
21x = 3x + 36    |substract 3x from both sides
18x = 36     |divide both sides by 18
x = 2

7 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
Plzzzzzzzzzzzzzzzzzzzzzzzzzzz help me this so easy i just dumd
nikitadnepr [17]

Answer:

18.5

Step-by-step explanation:

Just add 18.5 and 55.50 and repeat with the other numbers

3 0
3 years ago
Read 2 more answers
I need number 4 pls help
Inga [223]

7181891911818828282992

3 0
3 years ago
Set Q contains 20 positive integer values. The smallest value in Set Q is a single digit value and the largest value in Set Q is
Lerok [7]

Answer: possible values of Range will be values that are >=91 or <=998

Step-by-step explanation:

Given that :

Set Q contains 20 positive integer values. The smallest value in Set Q is a single digit value and the largest value in Set Q is a three digit value.

Therefore,

given that the smallest value in set Q is a one digit number :

Then lower unit = 1, upper unit = 9( this represents the lowest and highest one digit number)

Also, the largest value in Set Q is a three digit value:

Then lower unit = 100, upper unit = 999 ( this represents the lowest and highest 3 digit numbers).

Therefore, the possible values of the range in SET Q:

The maximum possible range of the values in set Q = (Highest possible three digit value - lowest possible one digit) = (999 - 1) = 998

The least possible range of values in set Q = (lowest possible three digit value - highest possible one digit value) = (100 - 9) = 91

5 0
3 years ago
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