Assignment: Answer multiple questions 1. For confidence intervals, precision increases as the interval gets wider. (Points: 1) True False 2. The 95% confidence interval for the difference between two treatment means extends from ?2.50 to +5.50. Based on this information, you can conclude that there is no significant difference between the treatments at the .05 level of significance. (Points: 1) True False 3. What value is estimated using the single-sample t statistic? (Points: 1) the value for an unknown sample mean the value for an unknown population mean the difference between two population means the difference between two sample means 4. If other factors are held constant, what happens to a confidence interval if the sample variance increases? (Points: 1) The range of t scores increases and the width of the interval increases. The range of t scores decreases and the width of the interval decreases. The standard error decreases and the width of the interval decreases. The standard error increases and the width of the interval increases. 5. The 95% confidence interval for ? is computed from sample data and the interval estimate ranges from 65 to 75. This indicates that _____. (Points: 1) 95% of the scores in the population fall between X = 65 and X = 75 you should reject H0 for any sample value between 65 and 75 the standard error is 10 you can be 95% confident that this interval contains the population mean 6. For an analysis of variance comparing four treatment means with a separate sample of n = 8 participants in each treatment, the F-ratio will have df = 3, 31. (Points: 1) True False 7. Post tests such as Scheff? are not necessary for an analysis of variance comparing only two treatment conditions. (Points: 1) True False 8. The null hypothesis for an ANOVA states that _____. (Points: 1) there are no differences between any of the population means at least one of the population means is different from the others all of the population means are different from each other None of the other 3 choices is correct. 9. In analysis of variance, the term factor refers to _____. (Points: 1) a dependent variable an independent (or quasi-independent) variable a treatment mean a treatment total 10. In analysis of variance, the magnitude of the mean differences from one treatment to another will contribute to _____. (Points: 1) the numerator of the F-ratio the denominator of the F-ratio both the numerator and the denominator of the F-ratio The sample mean differences do not influence the F-ratio.
Paper#13577 | Written in 18-Jul-2015Price : $25