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Elenna [48]
4 years ago
9

Do the prime factors of a number differ depending on which factors you choose first explain

Mathematics
1 answer:
Alex777 [14]4 years ago
3 0
No. If you do prime factorization correctly, there can only be one set of prime factors.
Example:
24→3 and 8→ 2 and 4→ 2 and 2
24→2 and 12→3 and 4→ 2 and 2
The prime factors of 24 are 3, 2, 2, and 2. Hopefully this answered your question.
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Anni [7]
The fourth one is correct
7 0
3 years ago
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Soloha48 [4]

Answer:

2

Step-by-step explanation:

7 0
3 years ago
A corporation randomly selects 150 salespeople and finds that 66% who have never taken a self- improvement course would like to
Citrus2011 [14]

Answer:

We conclude that there is no difference in the two population proportions using α = 0.05.

Step-by-step explanation:

We are given that a corporation randomly selects 150 salespeople and finds that 66% who have never taken a self- improvement course would like to do so.

The firm did a similar study 10 years ago and found that 70% of a random sample of 160 salespeople wanted a self-improvement course.

Let p_1 (\pi_1) = <u><em>true proportion of workers who would like to attend a self-improvement course in the recent study.</em></u>

p_2 (\pi_2) = <u><em>true proportion of workers who would like to attend a self-improvement course in the past study.</em></u>

SO, Null Hypothesis, H_0 : p_1=p_2      {means that there is no difference in the two population proportions}

Alternate Hypothesis, H_A : p_1\neq p_2      {means that there is a difference in the two population proportions}

The test statistics that would be used here <u>Two-sample z test for</u> <u>proportions</u>;

                       T.S. =  \frac{(\hat p_1-\hat p_2)-(p_1-p_2)}{\sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} } }  ~ N(0,1)

where, \hat p_1 = sample proportion of salespeople who would like to attend a self-improvement course in recent study = 66%

\hat p_2 = sample proportion of salespeople who would like to attend a self-improvement course in past study = 70%

n_1 = sample of salespeople in recent study = 150

n_2 = sample of salespeople in past study = 160

So, <u><em>the test statistics</em></u>  =  \frac{(0.66-0.70)-(0)}{\sqrt{\frac{0.66(1-0.66)}{150}+\frac{0.70(1-0.70)}{160} } }

                                      =  -0.755

The value of z test statistics is -0.755.

<u>Now, at 0.05 significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.</u>

Since our test statistic lies within the range of critical values of z, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u><em>we fail to reject our null hypothesis</em></u>.

Therefore, we conclude that there is no difference in the two population proportions.

5 0
3 years ago
After *triangle* ACE is dilated by a factor of 5, It has an area of 100 square inches. What was its area before dilation?
Anarel [89]
<h3>Answer:  4 square inches</h3>

Explanation:

Square the linear scale factor to get 5^2 = 25

This means that,

new area = 25*(old area)

We take this idea in reverse to find the old area

old area = (new area)/25

old area = (100 sq inches)/25

old area = 4 square inches

6 0
3 years ago
How do I put the slope and y-intercept on the graph
mestny [16]
So as you can see, -3 is the y-intercept. You would make a point on (-3,0) first. Then from the point, you would go up 1 and go right 2 because the slope is a positive 1/2 slope. 
7 0
3 years ago
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