Question

File Ed Yew ranoform e Srepha Anaivza Custom Hours Work GPA Absences yar ed less than 1... 3.00 4.00 less than 1.. 2 4.00 2.00 less than 1... 2.50 3.00 less than 1.. 3.80 1.00 less than 1.. 2.70 2.00 less than 1. 3.20 5.00 7 less than 1. 4.00 6.00 less than 1.. 8 3.80 7.00 less than 1... 2.90 9.00 10 less than 1... 3.10 4.00 11 less than 1. 3.10 7.00 12 less than 1... 2.00 8.00 13 less than 1 4.00 9.00 .. less than 1 14 3.60 3.00 15 less than 1 3.70 5.00 16 less than 1... 2.80 3.00 17 less than 1 1.90 4.00 18 less than 1 2.30 5.00 19 less than 1 2.40 6.00 20 less than 1 3.80 6.00 21 more than 4.00 5.00 22 more than 3.70 5.00 23 more than 2.60 8.00 Variable View Data View GPA Absences Hours Work var ed 2.40 6.00 less than 1. 19 6.00 less than 1. 3.80 20 4.00 5.00 21 more than 5.00 3.70 22 more than 8.00 23 2.60 more than 3.40 7.00 24 more than .. 25 more than.. 3.50 00 26 more than 2.10 11.00 27 more than 2.50 17.00 28 more than.. 2.60 8.00 29 more than 4.00 10.00 30 more than.. 3.90 7.00 31 more than 3.60 9.00 32 more than.. 2.70 8.00 33 more than 3.10 9.00 34 more than 2.40 2.00 35 more than 2.50 5.00 36 more than 3.30 4.00 37 more than 3.50 15.00 38 more than.. 2.20 13.00 39 more than 4.00 2.00 40 more than 2.80 13.00 Data View Variable View PSYCH 248 S01L1 Study 3, Prof. RobinSon hypothesized that a student's work load may affect his/her grades and attendance. She collected data on GPA, absences (# classes missed during semester) and number of hours students were working for pay. Please use the data "GPAwork" to test two nypotheses-do students working more than 20 hours a week differ significantiy from those who work less than 10 hours a week on GPA and number of absences? Run both 1-tests in the same analysis testing for a difference between the groups on both DVs at a 05 uV d1od to btcne ne 2ne e wode o an o et e pinnun A en zitn e to on o nen 12 2A PORR pol Hypothesis 1 o ves ometem o esuon nem nt onsbnoo Identify the: Indep. variableaunt of haa whoo st bE YOo GPA ked Dep.variable, Is it one-tailed or two-tailed? l-A at r o bout usn xs uov blucw 16 equonp erd nowtod Selnebyge to slgmsa neaib State Hypotheses mathematically: Ho Hi: State Hypotheses in wordeodl o1 zucluo 2292tw ge2noon ne wo beolou ese O obg ol anen l odahow irt n mu Ho: Hi: Which t-test should you use? dcocrden Are equal variances assumed? Circle: YES / NO / N/A t= p= Hypothesis 2: Identify the: Indep. variableamouna Abseaces bauaucda Dep.variable tun-toil Is it one-tailed or two-tailed? H1: State Hypotheses mathematically: Ho State Hypotheses in words: Ho: Hi: independent Which t-test should you use? NO IN/A YES Are equal variances assumed? Circle: p = t= Run the analysis, then answer the following questions in short paragraphs in a separate document. Copy and paste the relevant t-test output from SPSS in the other document. Custom Grephs Vew Deta Tranaform nalyze Fle Ed Absences Hours Work GPA var ed 6.00 less than 1... 2.40 19 6.00 less than 1. 3.80 20 5.00 4.00 21 more than. 5.00 3.70 22 than r 8.00 2.60 23 more than 7.00 3.40 24 more than .00 3.50 25 more than... more than.. 2.10 11.00 26 2.50 17.00 27 more than 2.60 8.00 28 more than 4.00 10.00 29 more than 3.90 7.00 30 more than more than.. 3.60 9.00 31 2.70 8.00 32 more than 33 3.10 more than 9.00 34 2.40 more than 2.00 35 2.50 5.00 more than 36 3.30 4.00 more than 37 3.50 more than 15.00 38 more than 2.20 13.00 39 more than 4.00 2.00 40 than 2 13.00 GPA Absences Hours Work var ed 4.00 3.00 1 less than 1... 2.00 4.00 less than 1... 2 3.00 2.50 less than 1... 3 1.00 3.80 less than 1... 4 2.00 2.70 less than 1... 5.00 3.20 less than 1.. 6 6.00 less than 1... 4.00 7.00 3.80 less than 1... 9.00 2.90 less than 1... 3.10 4.00 10 less than 1... 3.10 7.00 11 less than 1... 2.00 12 less than 1... 8.00 4.00 13 less than 1... 9.00 14 3.60 less than 1... 3.00 15 less than 1... 3.70 5.00 16 less than 1... 2.80 3.00 17 less than 1... 1.90 4.00 18 less than 1... 2.30 5.00 19 less than 1... 6.00 2.40 20 less than 1... 3.80 6.00 21 more than 4.00 5.00 22 more than 3.70 5.00 LO 7

Answer 1

Independent varaible= Number of Hours worked.

Dependent variable = GPA

Two tailed test.

0 Ha 12

difference between the GPA scores of the two groups Ho There is no Ha There is a significant difference between the GPA scores of the two groups

Independent sample t-test.

Yes we assume equal variance

Two-Sample T-Test and Cl: GPA, Hours Worked Two-sample T for GPA StDev Hours Worked N Mean SE Mean 3.130 Less than 10 hrs 20 0.686 0.15 3.120 More than 20 hrs 20 0.644 0.14 Difference = mu (Less than 10 hrs) (More than 20 hrs) mu Estimate for difference: 0.010 95% CI for difference: (-0.416, 0.436) = 0.962 T-Test of difference = 0 (vs not =): T-Value 0.05 P-Value DF = 38 = Both use Pooled StDev =0.6656

t=0.05,p-value = 0.962.

We cannot reject the Null hypothesis.

2)

Independent varaible= Number of Hours worked.

Dependent variable = Absences

Two-tailed test.

0 Ha 12

Independent sample t-test.

difference between the number of absences of the two groups Ho There is no Ha There is a significant difference between the number of absences of the two groups

Yes we assume equal variance

Two-Sample T-Test and Cl: Absences, Hours Worked Two-sample T for Absences Hours Worked N Mean StDev SE Mean Less than 10 hrs 20 4.95 2.31 0.52 More than 20 hrs 20 7.90 4.45 0.99 = mu (Less than 10 hrs) Difference mu (More than 20 hrs) Estimate for difference: -2.95 95 CI for difference: (-5.22, -0.68) T-Test of difference = 0 (vs not =): T-Value -2.63 P-Value 0.012 DF = 38 - - Both use Pooled StDev = 3.5420

t=-2.63,

P-value = 0.012

We reject the null hypothesis.