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Rainbow [258]
3 years ago
11

2 3 X 8 4 What’s the answer?

Mathematics
2 answers:
Arada [10]3 years ago
7 0

Answer:

1932

...................

zimovet [89]3 years ago
5 0

Answer:

1932

Step-by-step explanation:

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Find the range of the function:<br><br> f(x) = x + 3, for x ≠ 1
Tju [1.3M]

Answer:

All Real Numbers except for 4

Step-by-step explanation:

Objective: Specify domain and range of a function.

The equation is a linear equation. A linear equation range is all real numbers. However x cannot equal 1 so let plug in x to find where the y value CANT be.

f(1) = 1 + 3 = 4

So the range is

All Real Numbers except for 4.

3 0
3 years ago
4 1/4-2 3/5 what is the answer to this.
Aliun [14]

Answer:

1.65

Step-by-step explanation:

3 0
3 years ago
Help plsss ^ _ ^ ….. !
Alex73 [517]
X=6 answer is d. Put all x in one side then add them. At last divide it will be 6 Hope this helps
5 0
3 years ago
Read 2 more answers
e chairman of the statistics department in a certain college believes that 70% of the department’s graduate assistantships are g
8_murik_8 [283]

Answer:

38.46% probability that the sample proportion will NOT be between 0.60 and 0.73

Step-by-step explanation:

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.

For a proportion p in a sample of size n, we have that \mu = p, \sigma = \sqrt{\frac{p(1-p)}{n}}

In this problem, we have that:

p = 0.7, n = 50

So

\mu = 0.7, \sigma = \sqrt{\frac{0.7*0.3}{50}} = 0.0648

What is the probability that the sample proportion will NOT be between 0.60 and 0.73?

This is 1 subtracted by the probability that it is between 0.6 and 0.73.

Probability it is between 0.6 and 0.73

pvalue of Z when X = 0.73 subtracted by the pvalue of Z when X = 0.6. So

X = 0.73

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

Z = \frac{0.73 - 0.7}{0.0648}

Z = 0.46

Z = 0.46 has a pvalue of 0.6772

X = 0.6

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

Z = \frac{0.6 - 0.7}{0.0648}

Z = -1.54

Z = -1.54 has a pvalue of 0.0618

0.6772 - 0.0618 = 0.6154

NOT be between 0.60 and 0.73?

1 - 0.6154 = 0.3846

38.46% probability that the sample proportion will NOT be between 0.60 and 0.73

5 0
4 years ago
Preform the indicated multiplication below. reduce the terms and simplify (2+i)(3-i)(1+2i)(1-i)(3+i)
lbvjy [14]

Answer:

Hey there!

Expand (2+i)(3-i). You should get 7+i

Expand (7+i)(1+2i). You should get 5+15i

Expand (5+15i)(1-i). You should get 20+10i

Expand (20+10i)(3+i). You should get 50+50i as your final answer.

Let me know if this helps :)

5 0
4 years ago
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