Michelle W.

asked • 12/11/15

Could I get help and an explanation of this please!!!!!

I am totally lost with this!!!!!
 
Identify the type I error and the type II error that correspond to the given hypothesis. The percentage of households with Internet households with Internet access is less than 60%.Identify the type I error. Choose the correct answer below.

A. Fail to reject the null hypothesis that the percentage of households with Internet households with Internet access is equal to 60% when that percentage is actually less than 60%.

B. Reject the null hypothesis that the percentage of households with Internet households with Internet access is equal to 60% when that percentage is actually equal to 60%.

C. Reject the null hypothesis that the percentage of households with Internet households with Internet access is less than 60% when that percentage is actually less than 60%.

E. Fail to reject the null hypothesis that the percentage of households with Internet households with Internet access is less than 60% when the percentage is actually equal to 60%.

Identify the type II error. Choose the correct answer below.

A. Reject the null hypothesis that the percentage of households with Internet households with Internet access is less than 60% when that percentage is actually less than 60%.

B. Fail to reject the null hypothesis that the percentage of households with Internet households with Internet access is equal to 60% when that percentage is actually less than 60%.

C. Reject the null hypothesis that the percentage of households with Internet households with Internet access is equal to 60% when the percentage is actually equal to 60%.

D. Fail to reject the null hypothesis that the percentage of households with Internet households with Internet access is less than 60% when the percentage is actually equal to 60%.

1 Expert Answer

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Atif Z. answered • 12/11/15

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Rejecting the null hypothesis when it is true is called a Type I error.
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Atif Z.

Most people decide from before at what value of p they will reject the hypothesis, this is called the significance level.
 
 
 
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12/11/15

Atif Z.

Here the data collected is not giving the correct results, and we have to draw a line before that so that our results are accurate.
 
These are usually the tail enders.
 
Therefore Type I error is :
 
The significance level, α, is the probability of making the wrong decision when the null hypothesis is true. [U Texas]
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12/11/15

Atif Z.

I closest estimate to answer the question, assuming that they want you to make a Type I error:
 
C. Reject the null hypothesis that the percentage of households with Internet households with Internet access is less than 60%, when that percentage is actually less than 60%.
 
By rejecting this null hypothesis , we are performing the Type I error. It may have occurred due to erroneous data.
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12/11/15

Atif Z.

There is one thing significant about Type I error, that the percentage changes which causes the person to perform the Type I error.
 
 
 
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12/11/15

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