The results of a hypothesis test for a one-sample t-test are reported as follows in a scientific report: t(100) = 1.13,
Posted: Wed May 11, 2022 6:20 am
The results of a hypothesis test for a one-sample t-test are reported as follows in a scientific report: t(100) = 1.13, p > .05. Based on this information, which statement below is not correct? The conclusion reached by the researcher was to reject the null hypothesis. The sample size was n = 101. The sample mean was greater than the hypothesized population mean. The probability of a Type I error is less than 5%.
A research report concludes that there are significant differences among treatments, with F(5, 30) = 5.62, p<.01, n2 = 0.28. If the same number of participants was used in all of the treatment conditions, then how many individuals were in each treatment? O 5 O 8 a 6 O 30
Which of the following is not true of the type I error rate? Type I error is correctly rejecting the null if an effect exists. Type I error is incorrectly rejecting the null when an effect does not exist. Alpha is the probability of a type I error The "05" in p < .05 indicates the probability of a type I error.
Based on the SPSS output below, which of the following reports is accurate? Check all parts of the answer! One Sample Statistics N St Deviation 200 52.7750 2.47850 Std Emor Nean B7024 wile witing score Os Sangle Test Test Value 50 95% confidence interval of the Difference Nean Diference 277500 Sip (-aidi 000 Upper Lower 1.4503 will with score 4.140 199 M= 2.78, SD = 67, t(199)=4.140, p =.05, -1.45, 4.10] M= 52.78, SD = 9.48, t199)=4.140, p < 05, [1.45, 4.10] OM= 2.78, SD = 9.48, t(4.140)=199, p <.05, [1.45, 4.10) 0 M= 52.78, SD = 67, tỉ4.140)=199, p < 05, [1.45, 4.10] <
A research report concludes that there are significant differences among treatments, with F(5, 30) = 5.62, p<.01, n2 = 0.28. If the same number of participants was used in all of the treatment conditions, then how many individuals were in each treatment? O 5 O 8 a 6 O 30
Which of the following is not true of the type I error rate? Type I error is correctly rejecting the null if an effect exists. Type I error is incorrectly rejecting the null when an effect does not exist. Alpha is the probability of a type I error The "05" in p < .05 indicates the probability of a type I error.
Based on the SPSS output below, which of the following reports is accurate? Check all parts of the answer! One Sample Statistics N St Deviation 200 52.7750 2.47850 Std Emor Nean B7024 wile witing score Os Sangle Test Test Value 50 95% confidence interval of the Difference Nean Diference 277500 Sip (-aidi 000 Upper Lower 1.4503 will with score 4.140 199 M= 2.78, SD = 67, t(199)=4.140, p =.05, -1.45, 4.10] M= 52.78, SD = 9.48, t199)=4.140, p < 05, [1.45, 4.10] OM= 2.78, SD = 9.48, t(4.140)=199, p <.05, [1.45, 4.10) 0 M= 52.78, SD = 67, tỉ4.140)=199, p < 05, [1.45, 4.10] <