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Sonja [21]
3 years ago
5

2.) Fill in the blank.

Mathematics
1 answer:
Montano1993 [528]3 years ago
4 0

Answer:

E.) 1

Step-by-step explanation:

Firstly we will solve for L.H.S.

L.H.S. =Csc^2\theta

Since we know that Csc^2\theta is the inverse of Sin^2\theta.

So we can say that;

csc^2\theta=\frac{1}{sin^2\theta}

Now For R.H.S.

Cot^2\theta+1

Since we  can rewrite cot^2\theta as \frac{cos^2\theta}{sin^2\theta}.

Now we can say that the R.H.S. is;

\frac{cos^2\theta}{sin^2\theta}+1

Now we add the fraction and get;

\frac{cos^2\theta+sin^2\theta}{sin^2\theta}

Now according to trigonometric identity;

cos^2\theta+sin^2\theta=1

So, \frac{cos^2\theta+sin^2\theta}{sin^2\theta}=\frac{1}{sin^2\theta}

Here,

csc^2\theta=\frac{1}{sin^2\theta}   and     Cot^2\theta+1 = \frac{1}{sin^2\theta}<em>  </em>

L.H.S. = R.H.S.

Hence csc^2\theta=cot^2\theta+1

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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.

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