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ehidna [41]
3 years ago
11

What is 2^2 pls help me

Mathematics
2 answers:
Vladimir79 [104]3 years ago
6 0

Answer:

That'd be 4 :)

Step-by-step explanation:

NISA [10]3 years ago
3 0

Answer:

4

Step-by-step explanation:

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You toss two 6-sided dice one right after the other. What is the probability of rolling a 3, then rolling a different odd number
jarptica [38.1K]
1/18.
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P = p1 x p2 = 1/6 × 2/6 = 1/18
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Prob of getting 3 is 1/6, and prob of getting different odd number ie 1 or 5 is 2/6.

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3 years ago
Which is the equation for the nth term of the geometric sequence-2, 8, -32, ... ?
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54

Step-by-step explanation:

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Which ratio shown below is NOT equivalent to − 15 23
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what is the answer below

Step-by-step explanation:

4 0
3 years ago
A woman spent two thirds of her money she lost two thirds the remainder and then had $4 left how much money did she start with
Lisa [10]

Answer

Find out  how much money did she start with.

To proof

let us assume that the money she had be x.

As given

woman spent two thirds of her money

Money\ spent = \frac{2x}{3}

Money she had after spent two thirds of her money  = Total money - money spent

= x - \frac{2x}{3}

= \frac{1x}{3}

As given she lost two thirds the remainder

=\frac{2}{3}\times ( money\ she\ had\ after\ spending\ two\ thirds\ of\ her\ money)

= \frac{2}{3} \times\frac{1x}{3}

we get

=\frac{2x}{9}

Money she had after lost two thirds the remainder = Money she had after spent two thirds of her money - she lost two thirds the remainder

= \frac{1x}{3} - \frac{2x}{9}

= \frac{1x}{9}

As given

she had $4 left

thus

\frac{1x}{9} = 4

x = $36

she start with $36.

Hence proved

3 0
4 years ago
Read 2 more answers
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the la
o-na [289]

Answer:

0.6568 = 65.68% probability that she would be correct.

Step-by-step explanation:

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.

45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so.

This means that:

\mu = \frac{45000 + 45500 + 44500 + 46000 + 44000}{5} = 45000

Standard deviation of 1500 units.

This means that \sigma = 1500

What is the likelihood that she would be correct if she predicts sales between 43000 and 46000?

This is the pvalue of Z when X = 46000 subtracted by the pvalue of Z when X = 43000. So

X = 46000

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

Z = \frac{46000 - 45000}{1500}

Z = 0.67

Z = 0.67 has a pvalue of 0.7486

X = 43000

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

Z = \frac{43000 - 45000}{1500}

Z = -1.33

Z = -1.33 has a pvalue of 0.0918

0.7486 - 0.0918 = 0.6568

0.6568 = 65.68% probability that she would be correct.

5 0
3 years ago
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