Question

5. Regarding decision making from the results of data analyses, if our obtained probability is then we can reject the which then supports the b greater than 05, null hypothesis, alterative hypothesis and that a true difference exists. below.10, null hypothesis, alternative hypothesis and that a true difference exists below.05, alternative hypothesis, null hypothesis and that a true difference exists below.05, null hypothesis, alternative hypothesis and that a true difference exists The essence of hypothesis testing is that we are testing the likelihood or probability of finding the difference between means that we observed if in reality the null hypothesis is true and there really is no difference. d. 6. a. b. True False 7. If the difference between the means of our groups or conditions is large enough then we can conclude that our results are not due to chance and that a real difference must exist On what basis do we make this decision? What criterion is used? 8. When do we use a paired samples t-test? b. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. d. 9 Which of the following are the assumptions for paired samples 1-test? Write the letters for all that apply one point each). a. b. c. d. interval/ratio level data ordinal level data data is normally distributed data is not normally distributed observations are independent observations are correlated or related homogeneity of variance heterogeneity of variance f. கம் -

Answer 1

-> paired sample t-test When do we use a when we are comparing pero papunut means from one sample that has been measured twice option is comect Because, paizeel Sample t test => Sample measured twice g twish @ Interval loatio level data ③ data is norm observations independent mmally distribution are these are the assumptione for paired Sample t-test Interval / ratio level data must be continuous dependent variable 6 ordinal level data : must not be continuous dependent vanable. © data is normally distribution @ paired sample t-test followed t-test but lange sample size forrow normal @ All observation are independent 1 observations are not related but rasiable nelated. Kg Hot need homogeneity of variance a Not need heterogeneity of vemiance, are

15 Regarding decision making from the results of the data analysis , jf our obtained probability then we can reject the nul hypother which then support the alternative hypothesis anel that a true different exists. is below 0.05 option @ is correct Because. P-value L210.05) :: Reject to The essence of hypotheris testing is that we are testing the likelihood or probability of finding the difference between means that we observed it in reality the hull hypothesis is true and there really is not different option @ comeat, Because He no different True A It the difference the means of our groups of conditione is longe enough then enough then we can conclude that our results are not due to chance and that a real difference must exist on what basis do we make this decision. reject nul hypothesis Because, P-value 2 x (0.05) static value I table value: Reject Ho Cscanna. CamScanner