6. True or False? The null hypothesis indicates that there is no difference while the alternative hypothesis indicates that there is a difference between the means of two groups.
Null Hypothesis (H0) is a statement of no difference or no relationship
The alternative hypothesis is the hypothesis used in hypothesis testing that is contrary to the null hypothesis. It is usually taken to be that the observations are the result of a real effect (with some amount of chance variation superposed).
The null hypothesis indicates that there is no difference while the alternative hypothesis indicates that there is a difference between the means of two groups.
Answer :- [ TRUE ]
6. True or False? The null hypothesis indicates that there is no difference while the alternative...
The null and alternative hypotheses for a hypothesis test of the difference in two population means are: Null Hypothesis: Alternative Hypothesis: Notice that the alternative hypothesis is a two-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (-1.99, 0.0512). What is the P-value for this hypothesis test? Select one. Question 4 options: 0.0512 1.99 0.0256 -1.99
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
The null and alternative hypotheses for a hypothesis test of the difference in two population means are: Null Hypothesis: Alternative Hypothesis: Notice that the alternative hypothesis is a one-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (3.25, 0.0043). What is the P-value for this hypothesis test? Select one. Question 2 options: 3.25 -3.25 0.0043 0.00215
Type I error is: A. Deciding the null hypothesis is true when it is false B. Deciding the alternative hypothesis is true when it is true C. Deciding the null hypothesis is false when it is true D. Deciding the alternative hypothesis is true when it is false E. All of the above F. None of the above Type Il error is: A. Deciding the alternative hypothesis is true when it is true B. Deciding the alternative hypothesis is false...
3. A P-value is always computed assuming that the: A) alternative hypothesis is true. B) alternative hypothesis may be true. C) null hypothesis may be true. D null hypothesis is true. 3. A P-value is always computed assuming that the: A) alternative hypothesis is true. B) alternative hypothesis may be true. C) null hypothesis may be true. D null hypothesis is true.
Pls answer these questions 17 Causal research designs are experimental. TRUE FALSE 18 Pure research is also referred to as basic research. TRUE FALSE 19 Results from a qualitative research study can be generalized to a population. TRUE FALSE 20 Hypothesis tesing is used to prove facts. TRUE FALSE 21 An independent variable is also known as a predictor variable. TRUE FALSE 22 A dependent variable is also known as an outcome variable. TRUE FALSE An alternative hypothesis is a...
Question 1 For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc True False Question 2 For ANOVA: the alternative hypothesis is: Mu1 ≠Mu2 ≠Mu3......etc. True False Question 3 Both ANOVA and Chi square tests are always right tail tests True False Question 4 For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) True False Question 5 Both F and Chi Square distributions vary with df True False Question...
What is the difference between a null hypothesis, He, and an alternative hypothesis, H,? Choose the correct answer below. at O A. The null hypothesis states a status quo case. The alternative hypothesis represents a sample statistic wa O B. The null hypothesis states a status quo case. The alternative hypothesis states a claim that is contrary to the null hypothesis and often represents a research claim of specific inference that an analyst seeks to prove O C. The null...
If the ANOVA test is significant, what does that tell us? It indicates which means differ significantly from each other. It indicates that all means are the same. It indicates that there is a difference somewhere between at least two of the groups being compared. It indicates that the null hypothesis is true.
1 The statement of the alternative hypothesis - not the null hypothesis - always contains the equality. A) True B) False 2. An alternative hypothesis is a claim that holds if the null hypothesis is false. A) True B) False 3. The Hypothesis Test: HniH s 3 vs. Ha: > 3 represents a left-tailed test. A) True B) False 4. A professor refutes the claim that the average student spends three hours studying for the midterm exam. Which hypothesis is...