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Korvikt [17]
3 years ago
15

A firm wanted to see if there was a significant difference between two neighboring communities in terms of their usage of social

media. A random survey of 150 households in the first community showed the 55% of the respondents used social media frequently. In the second community, of a random survey of 200 households, 120 used social media frequently. Assuming a significance level of .01, test the hypothesis that the two communities are statistically equivalent with respect to the usage of social media.
Mathematics
1 answer:
luda_lava [24]3 years ago
8 0

Answer:

There is no difference between two neighboring communities in terms of their usage of social media.

Step-by-step explanation:

In this case we need to determine whether there is any difference between two neighboring communities in terms of their usage of social media.

The hypothesis can be defined as follows:  

<em>H₀</em>: There is no difference between two neighboring communities in terms of their usage of social media, i.e. <em>p</em>₁ - <em>p</em>₂ = 0.  

<em>Hₐ</em>: There is a significant difference between two neighboring communities in terms of their usage of social media, i.e. <em>p</em>₁ - <em>p</em>₂ ≠ 0.  

The test statistic is defined as follows:

 z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat P(1-\hat P)[\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}

The information provided is:

n₁ = 150

n₂ = 200

\hat p_{1} = 0.55

\hat p_{2}=\frac{120}{200}=0.60

Compute the total proportions as follows:

 \hat P=\frac{n_{1}\hat p_{1}+n_{2}\hat p_{2}}{n_{1}+n_{2}}=\frac{(150\times 0.55)+(200\times 0.60)}{150+200}=0.579

Compute the test statistic value as follows:

 z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat P(1-\hat P)[\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}

    =\frac{0.55-0.60}{\sqrt{0.579(1-0.579)[\frac{1}{150}+\frac{1}{200}]}}\\\\=-0.94

The test statistic value is -0.94.

The decision rule is:

The null hypothesis will be rejected if the <em>p</em>-value of the test is less than the significance level, <em>α</em> = 0.01.  

Compute the <em>p</em>-value as follows:

 p-value=2\times P(Z

*Use a <em>z</em>-table.

The <em>p</em>-value of the test is 0.35.

<em>p</em>-value = 0.35 > <em>α</em> = 0.01.  

The null hypothesis will not be rejected at 1% significance level.

Thus, it can be concluded that there is no difference between two neighboring communities in terms of their usage of social media.

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