There is no statistically significant difference between the sample means of two groups
Group of answer choices
A. False Hypothesis
B. Research Hypothesis
C.Null Hypothesis
D.True Hypothesis
C) Null Hypothesis.
Null hypothesis is the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.
There is no statistically significant difference between the sample means of two groups Group of answer...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
Suppose you are testing whether there is a statistically significant difference in depression level between a treatment and placebo group. You find a p-value of p=0.90. Do you reject or fail to reject the null hypothesis of no difference between groups? Why? Explain.
In a study, researchers randomly assigned 500 people to the “treatment group” and the other 500 to the “control (or placebo) group”. A statistically significant difference was reported between the responses of the two groups with p-value < 0.005. What is the best conclusion? A. There is little evidence that the treatment has any effect. B. Here is strong evidence that the treatment is effective. C. Using a 5% significance level, we can conclude that the treatment was not effective,...
1) If a statistically significant difference exists between groups relative to a specific variable, but that difference is so small as to have little importance to the manager, the researcher failed the _____ test. a) exploratory data analysis b) bayesian statistics c) classical statistics d) Statistical Significance e) practical significance 2) To compare productivity measurements taken from two separate manufacturing plants in hypothesis testing, we need a _____. a) one-sample test b) two-independent-samples test c) two-related-samples test d) k-indpendents-samples test...
Which of the following statements is true about the ANOVA? Group of answer choices An ANOVA indicates if any significant difference exists and specifies which two groups were statistically significant. An ANOVA indicates no significant difference between two groups that are statistically significant. An ANOVA indicates no significant difference between three groups that are not statistically significant. An ANOVA indicates if any significant difference exists but does not specify which two groups were statistically significant.
Statistically significant results from ANOVA tell you which groups' means differ from each other. a. true b. false
Suppose you are testing whether there is a statistically significant difference in systolic blood pressure (mmHg) between a treatment and placebo group; that is, positive values indicate the treatment is more effective than the placebo, and negative values indicate the placebo is more effective than the treatment. The 95% CI is [8, 17] . Based on this interval, did the treatment group outperform the placebo, or vise versa? Should you reject or fail to reject the null hypothesis of no...
You want to know if there is a statistically significant difference between father’s age and miscarriage. You collect data at the Totally Made Up Hospital and find the following: Miscarriage N Mean Paternal Age Standard Deviation No 162 33.4 2.8 Yes 48 41.1 3.1 a. What is your null hypothesis? b. What is your research hypothesis? c. What test would you run to test your hypothesis? d. Compute the test at the 5% level of significance. e. State whether you...
The results of a study examining the effectiveness of two instructional strategies indicated a statistically significant difference between the means of the two treatment groups on an achievement test. Which of the following is a reasonable conclusion? a. We can be 95% confident one instructional strategy is better than the other. b. The difference between the two instructional strategies is meaningful. c. It is likely one instructional strategy is more effective. d. Both instructional strategies are equally effective.
A teacher wants to compare scores on a geology exam for two classes. The difference between the sample means is 21.4. If the standard deviation of the distribution of the difference between sample means is 16.66, and she is testing the hypothesis at the 68% confidence level, which statement is true? A. The difference between the two means is significant, so the null hypothesis must be accepted. B. The difference between the two means is not significant, so the alternative...