Question.4752 - Here we discuss the three types of t-tests by creating, analyzing, and reporting the results of a mock experiment. This will be a detailed discussion worth 15 points so plan accordingly. PreparationTo prepare for this discussion, please follow along with our ScreenCast videos 9.6 and 9.9 to make sure you can generate all of the output in those videos.Required SPSS VideosStats Screencast 9.6 (one-sample t-test and a brief explanation of the results)Stats Screencast 9.9 (independent samples or "two samples" t-test and a very brief explanation of resultsOptional videos for interpreting SPSS t-test output tablesInterpreting SPSS output for the One Sample t-test (click here)Interpreting SPSS output for the Independent samples t-test (click here)Annotated SPSS t-test output tables, courtesy of UCLAMini-Report InstructionsCongratulations! We have reached the point in the class where you will now be asked to conduct a mock study and write up the results as a mini-paper. We are going to share these mini-reports with each other as a discussion so everybody will be able to see each others' examples and therefore have a better idea of how to run statistical tests and write up the results. This will help accomplish our course themes/goals of 1) asking and answering questions with statistics, 2) telling stories with data, and 3) choosing the correct statistical test.To complete this assignment, you are asked to generate a scenario that would require the use of a one sample or independent samples t-test, write your research question and matching hypothesis, generate fake/mock data, enter that correctly into SPSS, calculate one of the types of t-test which is appropriate to analyze that scenario, and explain your results. It would be best to write your replies in MS word, save them, and paste them into this discussion so you don't lose any work. The sections of this mini-report areTitle(2 point) Brief introduction to the scenario (explain what you are comparing, what the variables are and what your null and alternative hypotheses are.(3 pts) Brief explanation of the methods explain the sample size, sampling method, and measurement methods you might use to have collected the mock data for your study. Use about 20-30 data points.explain the descriptive statistics and charts which you might use to first analyze the data and check the sample for outliers and normalitylist your choice of alpha level and explain that choice. Will you use the standard p<.05 level or a different criterion and why?list which of the two types of t-test (one-sample or dependent samples) would be used to test your null hypothesis and explain why that is the correct choice. This should include explaining the "assumptions" for using t-tests.(3 pts) Results [ Annotated SPSS t-test output tables, courtesy of UCLA ]List the descriptive statistics for your data. List any charts which accompany them.Paste in the t-test results table for your dataReport the descriptive statistics (means and standard deviations) and the inferential statistics (t-test results) in APA format. https://www.socscistatistics.com/tutorials/ttest/default.aspxExplain whether or not you rejected the null hypothesis and whyCalculate Cohen's d statistic as your measure of effect size and report that value (Click Here for the Calculator https://memory.psych.mun.ca/models/stats/effect_size.shtml and click here for a theoretical tutorial). Note for this section - be sure to enter the correct values from your SPSS table into the Cohen's d calculator. (2 pts) Interpretation Write a brief description of your results and what it means about your research question. Was there a difference between the means you looked at and what would that tell you about the primary research question? Interpret the effect size measures. End with the final take home message about what your study shows and comment about what you learned or what you have questions about based on this assignment.References (if any)Please also attach your SPSS Viewer file and SPSS Data file with your post using the attachment button (the paperclip) from the discussion editor menu.Your questions, comments, and replies to classmates are worth the other 5 points in this forum.This discussion is worth 15 points. The main post should be at least 500 words and please reply to at least 1 classmate. Help each other out as much as possible.
Answer Below:
Title xxx the xxxxxx on xxx final xxxx for xxxx group xx students xxxxxxxxxxxxx different xxxx the xxxxx population xxxx e x Null xxxxxxxxxx H xxx mean xxxxx exam xxxxx of xxx students xx equal xx the xxxxxxxxxx mean xx H xxxxxxxxxxx Hypothesis x The xxxx final xxxx score xx the xxxxxxxx is xxxxxxxxx from xxx population xxxx of x The xxxxxx size xxxxxxxx of xxxxxxxx who xxxx taken xxx final xxxx in xxxx The xxxxxxxx method xxxxx is xxxx here xx convenience xxxxxxxx which xxxxx students xxx from x specific xxxxxx that x have xxxxxx to xxx scores xx the xxxxx exam xxx recorded xx a xxxxx from xx which xxxxxxxxxx student x scores xxxxx on xxxxx performance xx the xxxxx exam x will xxxxxxxxx the xxxx standard xxxxxxxxx minimum xxx maximum xxxxxx of xxx students xx describe xxx data x will xxx the xxxxxxxxx to xxxxx the xxxxx of xxx distribution xxx see xx the xxxx approximates xxxxxxxxx and x Boxplot xx identify xxx potential xxxxxxxx I xxxxx set xxx alpha xxxxx to xxxxx is xxx standard xxxxxxxxxxxx level xx hypothesis xxxxxxx If xxx p-value xx less xxxx this xxxxxxxxx I xxxx reject xxx null xxxxxxxxxx indicating xxxx there xx a xxxxxxxxxxx difference xxxxxxx the xxxxxx mean xxx the xxxxxxxxxx means xxxx I xxxx fail xx reject xxx null xxxxxxxxxx indicating xxxx there xx no xxxxxxxxxxx difference xxxxxxx the xxxxxx and xxx population xxxx The xxxx appropriate xxxx that xxx be xxxx is xxx one-sample xxxxxx since x am xxxxxxxxx the xxxx score xx the xxxxxx to x known xxxxxxxxxx mean xxx assumptions xxx using xxx sample xxxxxx are xxxx the xxxx scores xxx each xxxxxxx are xxxxxxxxxxx of xxxxxx and xxxxx are xxxxxxxx data xxxxx ranges xxxx to xxx mean xxxx score xxx the xxxxxxxx M xx was xxx significantly xxxxxxxxx from xxx population xxxx of x p xxxxx the xxxxxxx p xx greater xxxx the xxxxx level xx we xxxx to xxxxxx the xxxx hypothesis xxx results xx the xxxxxxxxxx t-test xxxxxx that xxx mean xxxxx exam xxxxx for xxx students xx the xxxxxx M xx did xxx significantly xxxxxx from xxx population xxxx of x p xxx primary xxxxxxxx question xxx to xxxxxxxxx whether xxx mean xxxxx scores xx students xx different xxxx the xxxxxxxxxx mean xxxxx on xxx results xxxxx is xx evidence xx suggest xxxxxxx the xxxx final xxxxxx of xxxxxxxx is xxxxxxxxx from xxx population xxxx The xxxxxx size xxx sample xxxxxx was xxxxxxxxxx using xxxxx s x The xxxxx of xxxxx s x is xxxxx is x small xxxxxx size xxxx suggests xxxx the xxxxxxxxxx between xxxxxx mean xxx the xxxxxxxxxx mean xx minimal xxxx assignment xxxxxx me xxxxxx understand xxx concept xx effect xxxx and xxx it xxxxxxxx additional xxxxxxx to xxxxxxxxxxx significance xxxx though xxx p-value xxx not xxxxxxxxxxx understanding xxxxxx size xxx essential xx determining xxxx the xxxxxxxx difference xxx not xxxxxxxxxxx meaningful xxxxxxxxxxxxx to xxxxxx the xxxxxx of x T-Test xxx style x d xxx socscistatistics xxx https xxx socscistatistics xxx tutorials xxxxx default xxxx SPSS xxxxxxxxx Output xxxxxx n x Stats xxxx ucla xxx https xxxxx oarc xxxx edu xxxx output xxxxxxMore Articles From Statistics for Psychology
.ico)
.ico)
.ico)
.ico)
