\f\f\f\fQuestion to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? 3. What are the means for two group ' s wages earned? 4. What is the independent samples t -test value? 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? 7. Which group earned the most money post-treatment? 8. Write your interpretation of the results as you would in an APA-formatted journal. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? 10. Was the sample size adequate to detect signi cant differences between the two groups in this example? Provide a rationale for your answer. \fQuestion to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. Yes, since the samples means of the data are normally distributed and that the dependent data variable is a ratio scale. The observations made are independent from each other in the experiment. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? Tests of Normality Kolmogorov-Smirnova group Statistic Treatment df Shapiro-Wilk Sig. Statistic * df Sig. treatment group .147 10 .200 .901 10 .223 control group .193 10 .200* .914 10 .311 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction From the above Shapiro-wilk analysis it shows a sig of 0.223 and 0.311 which is more than 0.05 implying that the variables follow a normal distribution. 3. What are the means for two group ' s wages earned? Group Statistics group Treatment N Mean Std. Deviation Std. Error Mean treatment group 10 232.7000 65.32491 20.65755 control group 10 128.4000 43.02506 13.60572 The table above shows the means of the two variables control and treatment group are 128.4 and 232.7 respectively. 4. What is the independent samples t -test value? Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Variances F Sig. t df Sig. (2-tailed) Mean Difference Equal variances assumed Treatment 2.477 Equal variances not assumed .133 4.217 18 .001 104.30000 4.217 15.572 .001 104.30000 t-test statistic from the above table is 4.217 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. The t test is significant at 0.05 since its p-value (0.001) is less than 0.05. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? 7. Which group earned the most money post-treatment? Treatment group 8. Write your interpretation of the results as you would in an APA-formatted journal. From the above results, the data provides enough statistical evidence to conclude that there is a difference between the treatment group and control, thus the treatment is effective. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? The supported employment vocational rehabilitation is very effective. 10. Was the sample size adequate to detect signicant differences between the two groups in this example? Provide a rationale for your answer. Yes, the sample size yielded the expected results in the experiment. Question to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. Yes, since the samples means of the data are normally distributed and that the dependent data variable is a ratio scale. The observations made are independent from each other in the experiment. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? Tests of Normality Kolmogorov-Smirnova group Statistic Treatment df Shapiro-Wilk Sig. Statistic * df Sig. treatment group .147 10 .200 .901 10 .223 control group .193 10 .200* .914 10 .311 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction From the above Shapiro-wilk analysis it shows a sig of 0.223 and 0.311 which is more than 0.05 implying that the variables follow a normal distribution. 3. What are the means for two group ' s wages earned? Group Statistics group Treatment N Mean Std. Deviation Std. Error Mean treatment group 10 232.7000 65.32491 20.65755 control group 10 128.4000 43.02506 13.60572 The table above shows the means of the two variables control and treatment group are 128.4 and 232.7 respectively. 4. What is the independent samples t -test value? Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Variances F Sig. t df Sig. (2-tailed) Mean Difference Equal variances assumed Treatment 2.477 Equal variances not assumed .133 4.217 18 .001 104.30000 4.217 15.572 .001 104.30000 t-test statistic from the above table is 4.217 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. The t test is significant at 0.05 since its p-value (0.001) is less than 0.05. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? 7. Which group earned the most money post-treatment? Treatment group 8. Write your interpretation of the results as you would in an APA-formatted journal. From the above results, the data provides enough statistical evidence to conclude that there is a difference between the treatment group and control, thus the treatment is effective. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? The supported employment vocational rehabilitation is very effective. 10. Was the sample size adequate to detect signicant differences between the two groups in this example? Provide a rationale for your answer. Yes, the sample size yielded the expected results in the experiment. Question to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. Yes, since the samples means of the data are normally distributed and that the dependent data variable is a ratio scale. The observations made are independent from each other in the experiment. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? Tests of Normality Kolmogorov-Smirnova group Statistic Treatment df Shapiro-Wilk Sig. Statistic * df Sig. treatment group .147 10 .200 .901 10 .223 control group .193 10 .200* .914 10 .311 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction From the above Shapiro-wilk analysis it shows a sig of 0.223 and 0.311 which is more than 0.05 implying that the variables follow a normal distribution. 3. What are the means for two group ' s wages earned? Group Statistics group Treatment N Mean Std. Deviation Std. Error Mean treatment group 10 232.7000 65.32491 20.65755 control group 10 128.4000 43.02506 13.60572 The table above shows the means of the two variables control and treatment group are 128.4 and 232.7 respectively. 4. What is the independent samples t -test value? Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Variances F Sig. t df Sig. (2-tailed) Mean Difference Equal variances assumed Treatment 2.477 Equal variances not assumed .133 4.217 18 .001 104.30000 4.217 15.572 .001 104.30000 t-test statistic from the above table is 4.217 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. The t test is significant at 0.05 since its p-value (0.001) is less than 0.05. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? The exact likelihood of obtaining the t -test value is 0.001. 7. Which group earned the most money post-treatment? Treatment group 8. Write your interpretation of the results as you would in an APA-formatted journal. From the above results, the data provides enough statistical evidence to conclude that there is a difference between the treatment group and control, thus the treatment is effective. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? The supported employment vocational rehabilitation is very effective, using the above conclusion showing that there exist a statistical difference it thus implies that the support employment rehabilitation is effective. 10. Was the sample size adequate to detect signicant differences between the two groups in this example? Provide a rationale for your answer. Yes, from the actual data there exist a mean difference between the control and the treatment group thus the sample size yielded the expected results in the experiment Question to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. Yes, since the samples means of the data are normally distributed and that the dependent data variable is a ratio scale. The observations made are independent from each other in the experiment. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? Tests of Normality Kolmogorov-Smirnova group Statistic Treatment df Shapiro-Wilk Sig. Statistic * df Sig. treatment group .147 10 .200 .901 10 .223 control group .193 10 .200* .914 10 .311 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction From the above Shapiro-wilk analysis it shows a sig of 0.223 and 0.311 which is more than 0.05 implying that the variables follow a normal distribution. 3. What are the means for two group ' s wages earned? Group Statistics group Treatment N Mean Std. Deviation Std. Error Mean treatment group 10 232.7000 65.32491 20.65755 control group 10 128.4000 43.02506 13.60572 The table above shows the means of the two variables control and treatment group are 128.4 and 232.7 respectively. 4. What is the independent samples t -test value? Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Variances F Sig. t df Sig. (2-tailed) Mean Difference Equal variances assumed Treatment 2.477 Equal variances not assumed .133 4.217 18 .001 104.30000 4.217 15.572 .001 104.30000 t-test statistic from the above table is 4.217 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. The t test is significant at 0.05 since its p-value (0.001) is less than 0.05. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? 7. Which group earned the most money post-treatment? Treatment group 8. Write your interpretation of the results as you would in an APA-formatted journal. From the above results, the data provides enough statistical evidence to conclude that there is a difference between the treatment group and control, thus the treatment is effective. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? The supported employment vocational rehabilitation is very effective. 10. Was the sample size adequate to detect signicant differences between the two groups in this example? Provide a rationale for your answer. Yes, the sample size yielded the expected results in the experiment. Question to be graded 31 1. Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer. Yes, since the samples means of the data are normally distributed and that the dependent data variable is a ratio scale. The observations made are independent from each other in the experiment. 2. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable? Tests of Normality Kolmogorov-Smirnova group Statistic Treatment df Shapiro-Wilk Sig. Statistic * df Sig. treatment group .147 10 .200 .901 10 .223 control group .193 10 .200* .914 10 .311 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction From the above Shapiro-wilk analysis it shows a sig of 0.223 and 0.311 which is more than 0.05 implying that the variables follow a normal distribution. 3. What are the means for two group ' s wages earned? Group Statistics group Treatment N Mean Std. Deviation Std. Error Mean treatment group 10 232.7000 65.32491 20.65755 control group 10 128.4000 43.02506 13.60572 The table above shows the means of the two variables control and treatment group are 128.4 and 232.7 respectively. 4. What is the independent samples t -test value? Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Variances F Sig. t df Sig. (2-tailed) Mean Difference Equal variances assumed Treatment 2.477 Equal variances not assumed .133 4.217 18 .001 104.30000 4.217 15.572 .001 104.30000 t-test statistic from the above table is 4.217 5. Is the t -test signi cant at a = 0.05? Specify how you arrived at your answer. The t test is significant at 0.05 since its p-value (0.001) is less than 0.05. 6. If using SPSS, what is the exact likelihood of obtaining a t -test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? The exact likelihood of obtaining the t -test value is 0.001. 7. Which group earned the most money post-treatment? Treatment group 8. Write your interpretation of the results as you would in an APA-formatted journal. From the above results, the data provides enough statistical evidence to conclude that there is a difference between the treatment group and control, thus the treatment is effective. 9. What do the results indicate regarding the impact of the supported employment vocational rehabilitation on wages earned? The supported employment vocational rehabilitation is very effective, using the above conclusion showing that there exist a statistical difference it thus implies that the support employment rehabilitation is effective. 10. Was the sample size adequate to detect signicant differences between the two groups in this example? Provide a rationale for your answer. Yes, from the actual data there exist a mean difference between the control and the treatment group thus the sample size yielded the expected results in the experiment