Researchers often indicate statistical significance with stars. No stars means the result is not statistically significant at a 10% level. One star means the result is statistically significant at a 10% level (but not a 5% level). Two stars means the result is statistically significant at a 5% level (but not a 1% level). Three stars means the result is statistically significant at a 1% level. Suppose that in testing a TWO-TAILED hypothesis test about the mean with a sample size of n=14 a researcher obtains a t test statistic of -2.774. How many stars should appear? (Answer by typing either 0, 1, 2, or 3.)
From the given information,
Using t-test for single mean
The result is statistically significant at 5% but not at 1%.
Hence, 2 stars should appear.
i.e., correct answer is 2.
Dear student,
I am waiting for your feedback. I have given my 100% to solve your
queries. If you are satisfied by my given answer. Can you please
like it☺
Thank You!!!
Researchers often indicate statistical significance with stars. No stars means the result is not statistically significant...
Attempts:Keep the Highests 4. Sample size, statistical significance, and practical importance Cities across the country are passing higher minimum wages, increasing the discrepancy between the wages in the dity and those in the suburbs. Suppose you are interested in the relationship between unemployment duration in the city and the surrounding suburbs in areas where the dites have minimum wages that are at least $3 higher than the minimum wages of the surrounding suburbs. The results are shown in the following...
Consider testing H0: (p1-p2)=0 versus a two-tailed research hypothesis (H1: (p1-p2) not equal 0). Suppose you obtain a z test statistic equal to -2.37. Recalling that researchers typically report the best significance level reached among the conventional significance levels, the difference is statistically significant at a _____ percent level. (Type either 1, 5 or 10 to correctly fill in the blank.)
a) A result is statistically
significant if it is unlikely to occur by random chance
alone.
true or false
b) If a result is NOT statistically significant, that
means the chance model must be true.
true or false
c) there are always two possible explanations for the
statistics obtained from a sample. Select the two possible
explanations below.
Generalizability
Something is going on
Random chance
Sampling bias
d) what does the researcher's question, or what the
researcher thinks is true, determine?...
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21. What can you conclude? A. 2(0.21) = 0.42 < 0.5; the test is not statistically significant. B. If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time, so the test is not statistically significant. C. 0.21 > 0.05; the test is statistically significant. D. If the null hypothesis is...
A mathematician reported the results from a particular experiment to the researcher who conducted it. The report states that on one specific part of the experiment, a statistical test result yielded a p-value of 0.21. Based on this p-value, what should the researcher conclude? A. The test was not statistically significant because 2 × 0.21 = 0.42, which is less than 0.5. B.The test was statistically significant because a p-value of 0.21 is greater than a significance level of 0.05....
Statistical Inference. I Need help with the questions below: 4-You are testing for significant differences between the mean scores of 2 groups. You set the level of significance at 0.05 if the mean differences is so large that it would occur by chance 1% of the time, would you accept or reject the null hypothesis? -Accept H0 -Rejected H0 5-When you make a prediction about the direction of mean differences between an experimental and a control group, would you use...
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...
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant. 2(0.15) = 0.30 < 0.5; the test is not statistically significant. 0.15 > 0.05; the test is statistically significant. If the null hypothesis is true, one could expect...
Background Information: Null Hypothesis Significance Testing (NHST) has long been the workhorse of the scientific method. The procedure, familiar to us from Modules 7-9, is Assume a null hypothesis Calculate a test statistic If the test-statistic reaches the designated significance level (alpha), reject the null hypothesis, usually in favor of the theory you propose Despite its ubiquity, the procedure has received a fair amount of criticism. Some of these critiques are: We often already know the null hypothesis is unlikely...
Researchers often use z tests to compare their samples to known population norms. The Graded Naming Test (GNT) asks respondents to name objects in a set of 30 black-and-white drawings. The test, often used to detect brain damage, starts with easy words like kangaroo and gets progressively more difficult, ending with words like sextant. The GNT population norm for adults in England is 20.4. Roberts (2003) wondered whether a sample of Canadian adults had different scores than adults in England....