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Qmb 3200 test 2 concepts ucf Exam
Questions And Answers 100% Verified
As the test statistic becomes larger, the p-value: - Answer✔✔becomes smaller.
The probability of making a Type I error when the null hypothesis is true as an equality is called
the: - Answer✔✔level of significance.
In hypothesis testing, the tentative assumption about the population parameter is called: -
Answer✔✔the null hypothesis.
The p-value: - Answer✔✔must be a number between 0 and 1.
For a two-tailed test, the p-value is the probability of obtaining a value for the test statistic as: -
Answer✔✔unlikely as that provided by the sample.
What is the probability of making a Type I error? - Answer✔✔𝛼
Applications of hypothesis testing that only control for the Type I error are called: -
Answer✔✔significance tests.
Which of the following does not need to be known in order to compute the p-value? -
Answer✔✔The level of significance.
The p-value is a probability that measures the support (or lack of support) for the: -
Answer✔✔null hypothesis.
Whenever the probability of making a Type II error has not been determined and controlled, only
two conclusions are possible. We either reject H0 or: - Answer✔✔do not reject H0.
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic: -
Answer✔✔at least as small as that provided by the sample.
For the case where σ is unknown, the test statistic has a t distribution. How many degrees of
freedom does it have? - Answer✔✔n - 1
Which of the following describes a Type I Error? - Answer✔✔Reject H0 when H0 is true.
For the case where σ is unknown, which statistic is used to estimate σ? - Answer✔✔s
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Qmb 3200 test 2 concepts ucf Exam
Questions And Answers 100% Verified
As the test statistic becomes larger, the p-value: - Answer✔✔becomes smaller.
The probability of making a Type I error when the null hypothesis is true as an equality is called
the: - Answer✔✔level of significance.
In hypothesis testing, the tentative assumption about the population parameter is called: -
Answer✔✔the null hypothesis.
The p-value: - Answer✔✔must be a number between 0 and 1.
For a two-tailed test, the p-value is the probability of obtaining a value for the test statistic as: -
Answer✔✔unlikely as that provided by the sample.
What is the probability of making a Type I error? - Answer✔✔𝛼
Applications of hypothesis testing that only control for the Type I error are called: -
Answer✔✔significance tests.
Which of the following does not need to be known in order to compute the p-value? -
Answer✔✔The level of significance.
The p-value is a probability that measures the support (or lack of support) for the: -
Answer✔✔null hypothesis.
Whenever the probability of making a Type II error has not been determined and controlled, only
two conclusions are possible. We either reject H0 or: - Answer✔✔do not reject H0.
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic: -
Answer✔✔at least as small as that provided by the sample.
For the case where σ is unknown, the test statistic has a t distribution. How many degrees of
freedom does it have? - Answer✔✔n - 1
Which of the following describes a Type I Error? - Answer✔✔Reject H0 when H0 is true.
For the case where σ is unknown, which statistic is used to estimate σ? - Answer✔✔s
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