T Statistic X G A population has a mean of u = ( X G course hero - Google Search X + V X -> C a cmd.keytoschool.com/ugdkdchg/9b/38/9638073b73f6fe50469f022c24bdcdb28f86258c?response-content-disposition=inline%38%20filename%3D"Module%2010%20updated.pdf"&response... @ E T Statistic 38 / 41 94% + ASSIGNMENT: 36 TERCEL OF 37 2. McAllister et al. (2012) compared varsity football Noncontact Athletes Contact Athletes and hockey players with varsity athletes from 10 II noncontact sports to determine whether exposure to head impacts during one season have an effect on 38 cognitive performance. In the study, tests of new learning performance were significantly poorer for the 10 N contact sport athletes compared to the noncontact sport athletes. The following table presents data similar to a. Are the test scores significantly lower for the con- the results obtained in the study. tact sport athletes than for the noncontact athletes? 39 Use a one-tailed test with a = .05. 40 21 0 11:34 am Cloudy Search ENG US 22/12/2022T Statistic X G A population has a mean of u = ( X G course hero - Google Search X + V X -> C a cmd.keytoschool.com/ugdkdchg/9b/38/9638073673f6fe50469f022c24bdcdb28f86258c?response-content-disposition=inline%38%20filename%3D"Module%2010%20updated.pdf"&response... E T Statistic 40 / 41 94% + ASSIGNMENT: 36 TERCEL OR 4. Number of Academic Problems Following Nights Following Nights 37 with Above with Below Student Average Sleep Average Sleep a. Calculate the difference scores and 13 MD. 14 b. Compute SS, sample variance, and 13 estimated standard error. 38 c. Is there a significant treatment effect? Use a = .05, two tails. T 39 40 21 0 Search ENG 11:35 am Cloudy US 22/12/2022 2T Statistic X G A population has a mean of u = ( X G course hero - Google Search X + V X -> C a cmd.keytoschool.com/ugdkdchg/9b/38/9638073673f6fe50469f022c24bdcdb28f86258c?response-content-disposition=inline%38%20filename%3D"Module%2010%20updated.pdf"&response... E T Statistic 39 / 41 94% + ASSIGNMENT: 36 TERCEL OR 3. The following data are from a repeated-measures 37 study examining the effect of a treatment by measuring Before After a group of n = 6 participants before and after they Participant Treatment Treatment receive the treatment. a. Calculate the difference scores and MD. 38 b. Compute SS, sample variance, and estimated standard error. c. Is there a significant treatment effect? Use a = .05, 39 two tails. 40 21 0 Search ENG 11:34 am Cloudy US 22/12/2022 2(9 T Statistic x s A populatlon has a mean of u : x a course hero - Gaogle Search x l + v 7 D X ( 9 C 0 cmd.keytuschoul.c0m/ugdkclchg/9b/38/9b38073b73f6f950469f022c24bdcdb28f86258c?respansescontentsdispasilion:inline%3B%20lename%3D\"Module%2010%20updated.pdf"&response.. Q IE' 15? I] 3 T Statistic 5. To evaluate the effect of a Treatment, a sample of n = 8 is obtained from a population with a mean of u = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. a. If the sample variance is 52 = 32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with O. = .05? b. If the sample variance is 52 = 72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with a = .05? c. Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test? '32:\" a: .. co c? I a; -_ a c c a (f e 25: 5a As mm 222333539 (9 T Statistic X ._-, A populatlon has a mean of p : x a course hero - Gaogle Search x l + ( 9 C 0 cmd.keytuschool.c0m/ugdkdchg/9b/38/9b38073b73f6f950469f022c24bdcdb28f86258c?resp0nseecontentedisposllion:inllne%3B%20lename%3D\"Module%2010%20updated.pdf"&response.. Q IE' 15? El 3 T Statistic { ' 2m ' Cloudy (EXCEL 0R MANUALCOMPUTATIONS) 1. Research results suggest a relationship between the TV viewing habits of 5-year-old children and their future performance in high school. For example, Anderson, Huston, Wright, and Collins (1 998) report that high school students who regularly watched Sesame Street as children had better grades in high school than their peers who did not watch Sesame Street. Suppose that a researcher intends to examine this phenomenon using a sample of 20 high school students. The researcher first surveys the students' parents to obtain information on the family's TV viewing habits during the time that the students were 5 years old. Based on the survey results, the researcher selects a sample of n = 10 students with a history of watching \"Sesame Street\" and a sample of n = 10 students who did not watch the program. The average high school grade is recorded for each student and the data are as follows: Average High School Grade Watched Sesame Did Not Watch Sesame Street Street 86 99 90 7"} 87 97 R3 9| 94 Sh 'JT . S I 98 91 , 92 Use an independent-measures t test with o: = .0] to determine whether there is a significant difference between the two types of high school student. :: .. o 99- e -_ a c c a (f o :9 5a As \"amazes