If the type II error rate of a statistical hypothesis test is estimated to be .3, what would the statistical power of the test be?
.5 |
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.85 |
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.70 |
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.30 |
If the type II error rate of a statistical hypothesis test is estimated to be .3,...
12 (a). Explain type I error and type II error in hypothesis. b) Test the hypothesis using H0 : p=0.6 versus H1 : p is greater than 0.6 If n=300; x = 75; α= 0.01
statistics 10 (a). Explain type I error and type II error in hypothesis. b) Test the hypothesis using If n=300; x = 75; α= 0.01 left to right problem
Alpha refers to __________. A Statistical power B The probability of making a Type II error C The probability of making a Type I error D Effect size
if a hypothesis test leads to failing to reject the null hypothesis, a___ a) type II error must have been committed b) type II error MAY have been committed c) type I error MAY have been commited
a. Explain a Type II error and power in context of choosing a smaller level of significance. b. Explain a Type II error and power in context of a greater difference between the null hypothesis claim and the true value of the population parameter.
State the Type I and Type II error for that scenario. State whether their hypothesis is directional or non-directional. A researcher found that there is an app for your phone that increases your IQ by 10% compared to if you don’t use the app. The researcher decides to test this.
Suppose a hypothesis test is conducted to determine if the mean lifetime of a brand of contact lenses is more than 6 months. Explain what the following errors would be in this situation. Avoid technical statistical terms like "hypothesis"; instead, use language specific to this problem. a. a Type I error b. a Type II error
Explain “Type II Error” (β) in hypothesis testing.
Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
Question 6 3 pts A hypothesis test is used to prevent a machine from under or overfilling bottles of soda. On the basis of a sample, the hypothesis is rejected and the machine is shut down for inspection. An examination reveals there is nothing wrong with the filling machine. From a statistical point of view: O A Type II Error was made O A correct decision was made O A Type 1 Error was made O A Type I and...