Hypothesis testing: Examples
... Take a decision based on the critical region or p-value • Using the critical region: because the test statistic (t= -0.119) is greater that the critical value ( .= -1.341 ) we fail to reject the null hypothesis. • Using the p-value: because the p-value (0.453) is greater than the significance le ...
... Take a decision based on the critical region or p-value • Using the critical region: because the test statistic (t= -0.119) is greater that the critical value ( .= -1.341 ) we fail to reject the null hypothesis. • Using the p-value: because the p-value (0.453) is greater than the significance le ...
H - AUEB e
... The order of a hypothesis test: 1. The null hypothesis (H0) and the alternative hypothesis (H1) is stated 2. A level of significance is decided on 3. A test statistic is selected 4. A decision rule is selected, usually involving a critical value. Usually we want to develop a confidence interval fo ...
... The order of a hypothesis test: 1. The null hypothesis (H0) and the alternative hypothesis (H1) is stated 2. A level of significance is decided on 3. A test statistic is selected 4. A decision rule is selected, usually involving a critical value. Usually we want to develop a confidence interval fo ...
File
... holds), this sampling distribution of mean differences is normally shaped; for smaller samples, the sampling distribution takes the shape of one of the Student’s t distributions, identified by degrees of freedom. ...
... holds), this sampling distribution of mean differences is normally shaped; for smaller samples, the sampling distribution takes the shape of one of the Student’s t distributions, identified by degrees of freedom. ...
Introduction to Differential Equations
... Statistical Inference for the Mean We may decide to take some action on the basis of the test of significance. But we can never be completely certain we are taking the right action. Type I error is to reject the null hypothesis when it is true. In the case of a mean, this occurs when the null hypot ...
... Statistical Inference for the Mean We may decide to take some action on the basis of the test of significance. But we can never be completely certain we are taking the right action. Type I error is to reject the null hypothesis when it is true. In the case of a mean, this occurs when the null hypot ...
Exam 3 Review
... Know under what conditions you can use the Student’s t distribution to run the hypothesis test. Be able to define the null and alternative hypothesis for testing the difference between two means using small samples from two populations. There is a formula for the degrees of freedom that you ca ...
... Know under what conditions you can use the Student’s t distribution to run the hypothesis test. Be able to define the null and alternative hypothesis for testing the difference between two means using small samples from two populations. There is a formula for the degrees of freedom that you ca ...
Ch 8 - csusm
... Rejecting the null hypothesis when it is, in fact, true. It may happen when you decide to reject the hypothesis. -- you decide to reject the hypothesis when your result suggests that the hypothesis is not likely to be true. However, there is a chance that it is true but you get a bad sample. ...
... Rejecting the null hypothesis when it is, in fact, true. It may happen when you decide to reject the hypothesis. -- you decide to reject the hypothesis when your result suggests that the hypothesis is not likely to be true. However, there is a chance that it is true but you get a bad sample. ...
Introduction to Hypothesis Testing One-sample test for
... 1. State a research hypothesis or pose a question. 2. Gather data or evidence (observational or experimental) to answer the question. 3. Summarize data and test the hypothesis. 4. Draw a conclusion. Statistical Hypothesis • Null hypothesis (H0): Hypothesis of no difference or no relation (or not gui ...
... 1. State a research hypothesis or pose a question. 2. Gather data or evidence (observational or experimental) to answer the question. 3. Summarize data and test the hypothesis. 4. Draw a conclusion. Statistical Hypothesis • Null hypothesis (H0): Hypothesis of no difference or no relation (or not gui ...
PDF Version
... Hypothesis testing can be used to determine whether a statement about the value of a population parameter should or should not be rejected. The null hypothesis, denoted by H0 , is a tentative assumption about a population parameter. The alternative hypothesis, denoted by Ha, is the opposite of ...
... Hypothesis testing can be used to determine whether a statement about the value of a population parameter should or should not be rejected. The null hypothesis, denoted by H0 , is a tentative assumption about a population parameter. The alternative hypothesis, denoted by Ha, is the opposite of ...
Two Independent Samples Comparing Two Groups Setting
... variation alone, or is there evidence that some of the difference is due to the ancy treatment? Statistics 371, Fall 2003 ...
... variation alone, or is there evidence that some of the difference is due to the ancy treatment? Statistics 371, Fall 2003 ...
