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BabaBlast [244]
3 years ago
10

A social scientist is interested in determining if there is a significant difference in the proportion of Republicans between tw

o areas of town. He takes independent random samples of 20 families in each area of town and a significance test was conducted. The p-value was 0.106.
What should be our conclusions?

A. The evidence is very strong - there is a difference in proportion of Republicans between the two areas of town.

B. The evidence is very strong - there is NO difference in the proportion of Republicans between the two areas of town.

C. We do not have enough statistical evidence to say that there is a significant difference in the proportion of Republicans between two areas of town.
Mathematics
1 answer:
AysviL [449]3 years ago
3 0

Answer:

B. The evidence is very strong - there is NO difference in the proportion of Republicans between the two areas of town.

Step-by-step explanation: Generally, a p-value of less than 0.05 is described as a strong evidence in favour of the null hypothesis. A p-value also known as the probability value is also known to provide the smallest level of evidence at which the null hypothesis would be rejected.

In the question, The p-value is 0.105 which is bigger in value than 0.05 which means there is no significant difference between the evidence and the null hypothesis.

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<h3>What is standard deviation?</h3>

The average degree of variability in your dataset is represented by the standard deviation. It reveals the average deviation of each statistic from the mean. In general, values with a high standard deviation are spread out from the mean, whereas those with a low standard deviation are grouped together close to the mean.

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