▪ When the test statistic is in the non-critical region, then the null hypothesis must not be rejected. [ Select ] ▪ When the population standard deviation is known and the sample size is more than 30, Z- test is more appropriate to use for testing hypotheses than t- test. [ Select ] ▪For a two-tailed test, the absolute value of the test statistic is being compared to the absolute value of the critical value to make a decision. [ Select ]
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- Suppose that you did a Right-Tailed Test and that the Observed Test Statistic is outside the Critical Region. Which is bigger, the Observed Test Statistic or the Critical Value?ord ngi 11.-12. ints] Gnu, a snowboarding company, is testing to see if their two most popular snowboards differ in softness. Gnu tests a group of six snowboarders with equal snowboarding abilities who each try Board 1 and Board 2 for three hours each. They are asked to rate them on a softness scale of 1-15. [Assume this is safe to treat as interval data.] You are doing a two- tailed test with a=.10. Calculate the test statistic. State the critical value, and come to a conclusion concerning the snowboards. Board 1 Board 2 9 7 14 12 15 12 8 7 13 8 7 8 bon then the more powerful dependent samples test if carry-over effectThe ANOVA test for a difference between 3 or more population means is a two- tailed test, but since the right critical value is easier to determine we force the observed value of the test statistic to be larger than one. True False
- The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. The table showing the bivariate table is presented below. Furthermore, the data have been analyzed using SPSS, and researchers have found that the chi-square statistic is 36.1429 and the p-value is < .00001. 1) What is the null hypothesis in this study? What is the research hypothesis? 2) What are the expected values for each cell? (You need not construct a new table, just provide the four values, labeling which cell they belong to). 3) What percentage of older voters support a ban on smoking? What percentage of younger voters do? 4) What decision should the researchers make about the null hypothesis? 4) Based on your answer above, which type of error might the researchers be making? What is the probability that they are making this type of error?Where are the critical region(s) located in a z-distribution if a one-tailed hypothesis test was conducted to see if a treatment led to a decrease using an alpha = 0.0668 Report the complete z-score (no rounding)is interested in comparing the mean sales revenue per A company salesperson at two different locations. The manager takes a random sample of 10 salespeople from each location independently and records the sales revenue generated by each person during the last four weeks. He decides to use a t-test to compare the mean sales revenue at the two locations. Which of the following assumptions is necessary for the validity of the t-test? * The population of the sales records at each location is normally distributed. The population standard deviations at both locations are not equal. None of these The population of the difference in sales records computed by pairing one salesperson from each location is normally distributed. The population standard deviations at both locations are known. The population standard deviations at both locations are equal.
- When conducting an ANOVA on sbp and genhelth, the p-value is 0.04. Therefore we conclude reject the null hypothesis at 5% level, mean sbp different for all categories of genhelth no evidence to reject the null hypothesis of equal means reject the null hypothesis at 1% level, mean sbp different for all categories of genhelth O reject the null hypothesis at 5% level, mean sbp different for at least one category of genhelth Type here to search F1 F2 F3 F4 F5 40 F6 F7 18°C Partly sunny PrtScn F8 Home F9 End F10 PgUp F11 ENG 1:21 PM 6/06/2023 PgDn F12Select all the False statements: | Increasing the chance of making Type I error will reduce the chance of making Type Il error. The probability of making a Type Il error goes up as the sample size goes up. A hypothesis that was rejected at the 1% level of significance would not be rejected at the 5% level of significance. | It is impossible to make both Type I and Type IlI error on the same problem at the same time.Your hypothesis test for a mean with n = 18 has a two-tailed critical region. The test statistic is tt = -1.38. Find the p-value accurate to 2 decimal places.
- Google Sheets can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for α=0.05 with dfbetween=4 and dfwithin=30, enter =FINV(0.05,4,30) Enter this into Google Sheets to confirm you obtain the value 2.69. You conduct a one-factor ANOVA with 8 groups and 10 subjects in each group (a balanced design). Use Google Sheets to find the critical values for α=0.1 and α=0.02 (report accurate to 3 decimal places).F0.1=F0.02=A researcher is testing a hypothesis of a single mean. The critical t value for a = .05 and a two-tailed test is +2.0796. The observed t value from sample data is -2.92. The decision made by the researcher based on this information is to the null hypothesis. reject not reject redefine change the alternate hypothesis into restateis An independent samples t-test is appropriate for measuring differences between a selected sample and a population with a mean that is already known?