False4.Two separate samples, each with n = 10 scores, will produce an in-dependent-measures t statistic with df = 19.PTS:1REF:p. 324TOP: 10.2 Show Get answer to your question and much more True5.If the two samples are the same size, then the pooled variance will equalthe average of the two sample variances.PTS:1REF:p. 323TOP: 10.2 Get answer to your question and much more True6.One sample has n = 7 scores with SS = 40, and a second sample has n = 5scores with SS = 80.The pooled variance for these two samples is 120/10 = 12.PTS:1REF:p. 323TOP:10.2 Get answer to your question and much more False7.If one sample has n = 5 scores with SS = 40 and a second samplehas n = 5 scores with SS = 20, then the pooled variance will be 60/10 = 6.PTS:1REF:p. 323TOP: 10.2 Get answer to your question and much more False8.If two samples each have s2= 10, then the pooled variance will beequal to 20.PTS:1REF:p. 323TOP: 10.2 Get answer to your question and much more True9.For an independent-measures t statistic, you typically must compute thepooled variance before calculating the estimated standard error.PTS:1REF:p. 324TOP: 10.2 Get answer to your question and much more True10.For an independent-measures t statistic, the estimated standard error mea-sures how much difference is reasonable to expect between the two samplemeans if the null hypothesis is true.PTS:1REF:p. 320TOP:10.2 Get answer to your question and much more True11.If the df value for an independent-measures t statistic is an odd number,then it is impossible for the two samples to be the same size.PTS:1REF:p. 324TOP: 10.2 Get answer to your question and much more False12.If an independent-measures t statistic has df = 20, then there were atotal of 18 individuals participating in the research study.PTS:1REF:p. 324TOP: 10.2 Get answer to your question and much more False 13.If two sample variances are not equal, the pooled variance will be closer tothe larger of the two variances.PTS:1REF:p. 323TOP: 10.2 Get answer to your question and much more False14.Two samples, each with n = 4 scores, have a pooled variance of 32. Asked by johnlewis1245 on coursehero.com 60. Which of the following is the correct null hypothesis for a repeated-measures t test? a. MD = 0 b. µD = 0 c. µ1 = µ2 d. M1
= M2 61. A repeated-measures study using a sample of n = 20 participants would produce a t statistic with df = ____. a. 9 b. 19 c. 20
d. 39 62. A repeated-measures study and an independent-measures study both produced a t statistic with df = 10. How many individuals participated in each study? a. 12 for repeated-measures and 11 for independent-measures b. 12 for repeated-measures and 12 for
independent-measures c. 11 for repeated-measures and 11 for independent-measures d. 11 for repeated-measures and 12 for independent-measures 63. A research report describing the results from a repeated-measures study states that the data show no significant difference between the two treatments, t(10) = 1.65, p > .05. Based on this
report, how many individuals participated in the research study? a. 9 b. 10 c. 11 d. 12 64. One sample has n = 5 scores and the second has n = 10 scores. If the pooled variance for the two samples is 30, what is the value of the estimated standard error for the sample mean difference? a. 2 b. The square root of 2 c. 9 d. 3 65. A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment. If all of the participants show improved performance of 8 or 9 points after treatment, what should the researcher find? a. The sample mean difference is near zero. b. The t statistic is near zero. c. The variance of the difference scores is near zero. d. None of the other options is correct. 66. Which of the following sets of data would produce the largest value for Cohen's d? a. n = 10 for both samples, a pooled variance of 15, and a mean difference of 3 points b. n = 20 for both samples, a pooled variance of 15, and a mean difference of 5 points c. n = 10 for both samples, a pooled variance of 20, and a mean difference of 3 points d. n = 20 for both samples, a pooled variance of 20, and a mead difference of 5 points 67. If other factors are held constant, which of the following sets of data is most likely to produce a significant mean difference? a. A sample mean difference of 5 points with n = 5 for both samples b. A sample mean difference of 5 points with n = 10 for both samples c. A sample mean difference of 10 points with n = 5 for both samples d. A sample mean difference of 10 points with n = 10 for both samples 68. A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10. How many individuals participated in each study? a. 11 for repeated and 11 for matched b. 11 for repeated and 12 for matched c. 11 for repeated and 22 for matched d. 12 for repeated and 12 for matched Answered by pradeeppra136 on coursehero.com um dolor sit amet, consectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus eff  Unlock access to this and over Have an account? Log In How do you calculate DF for an independent samples tThe two sample t-statistic calculation depends on given degrees of freedom, df = n1 + n2 – 2. If the value of two samples t-test for independent samples exceeds critical T at alpha level, then you can reject null hypothesis that there is no difference between two data sets (H0).
How do you find the t value for two independent samples?The test statistic for a two-sample independent t-test is calculated by taking the difference in the two sample means and dividing by either the pooled or unpooled estimated standard error. The estimated standard error is an aggregate measure of the amount of variation in both groups.
What is DF in independent samples tdf is the degrees of freedom, using the equal-variances-assumed degrees of freedom formula (first row of table) or the equal-variances-not-assumed degrees of freedom formula (second row of table) Sig (2-tailed) is the p-value corresponding to the given test statistic and degrees of freedom.
How do you know if the tIf the values in one sample affect the values in the other sample, then the samples are dependent. If the values in one sample reveal no information about those of the other sample, then the samples are independent.
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If both samples have n = 10, the independent-measures t statistic will have df = 19
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