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vlabodo [156]
3 years ago
12

What is mean of 32 48 22

Mathematics
2 answers:
pentagon [3]3 years ago
7 0

Answer:

34

Step-by-step explanation:

32+48+22=102

102/3=34

pychu [463]3 years ago
4 0

Answer:

The answer is 38

Step-by-step explanation:

Its easy to calculate, just add up all the numbers. Then, divide on how many numbers there are.

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8. Instructions: Find the missing side of the triangle.
klasskru [66]

Answer:

x = 43

Step-by-step explanation:

x + 28 + 195 = 180

x + 223 = 180

x = 180 - 223

x = 43 (ANS)

I hope my answer is correct. If not I apologize.

7 0
2 years ago
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Please help in this!
vovikov84 [41]

Step-by-step explanation:

Correct option is C)

41−

21+

19−

9

=

41−

21+

19−3

=

41−

21+

16

=

41−

21+4

=

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25

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36

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4 0
2 years ago
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Iy
katovenus [111]

Answer:

  all real numbers

Step-by-step explanation:

The function f(x) = 3|x +4| +1 is defined for all values of x. Its domain is <em>all real numbers</em>.

7 0
3 years ago
Read 2 more answers
P(X&lt; ) 1-P(X&gt; ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
Which undefined geometric term is described as a two-dimensional set of points that has no beginning or end?
IgorC [24]
Plane, it contains tons of 2d points with no set beginning or end
7 0
3 years ago
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