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Changing the alpha level to .05 from .01 what does it do to the risk of Type 1 error?
Penske05
This will reduce the type 1 error. Since type 1 error is rejecting the null hypothesis when it is true, decreasing alpha (or p value) decreases the risk of rejecting the null hypothesis.
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What and who determines the alpha level in statistics?
Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.
Relationship between type 1 error and type 2 error?
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
True or False For a given level of significance if the sample size is increased the probability of comitting a Type II error will increase?
The statement is false. For a fixed alpha, an increase in the sample size will cause a decrease in beta (but an increase in the power).
What happens to the confidence interval if you increase the margin of error?
It depends on whether it is the Type I Error or the Type II Error that is increased.
If the probability of type 1 error is reduced the probability of type 2 error is also reduced?
No....the two are mirror images of each other. Reducing type I would increase type II
What and who determines the alpha level in statistics?
Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.
What is an alpha error?
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
How do sample size selection of alpha level and precision of measurement affect the type II error rate?
please tell me the answer
The level of significance is the maximum allowable of what?
Type I error.
Relationship between type 1 error and type 2 error?
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
.01 criterion of significance what is the percent type you error?
I believe you are asking about hypothesis testing, where we choose an alpha value, (also called a signifance level). Thus, I will rephrase your question as follows: If I choose an alpha value of 0.01, what percent of time do you expect the come to an erroneous conclusion, that is test statistic to fall out of the critical region yet the null hypothesis is true? The answer is 1% of the time, an incorrect rejection of the null hypotheis, which is a type I error.
True or False For a given level of significance if the sample size is increased the probability of comitting a Type II error will increase?
The statement is false. For a fixed alpha, an increase in the sample size will cause a decrease in beta (but an increase in the power).
What is alpha in mathematics?
It is the first letter of the Greek alphabet which can be used, in geometry or algebra, to represent angles. In probability it can be used to represent a Type I error.
What factor can a researcher control that will reduce the type 1 error?
The significance level can be reduced.
How do you program a Ti-84 Plus calculator to replace error with epic failure?
First, you pick 2nd. then pick alpha. You can now type in EPIC FAILURE OR ANYTHINg else.
What type of radiation alpha beta or gamma is emitted by thorium-230?
alpha particles.
What type of radioactive decay removes a helium nucleus and has a very low enegry level?
A helium nucleus - more precisely, a helium-4 nucleus - is called an alpha particle. The corresponding decay would be called alpha decay.
