Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

go over my answers I am not sure with question 7 and 8 whether significant or ac

ID: 3200345 • Letter: G

Question

go over my answers I am not sure with question 7 and 8 whether significant or accept null hpothesis PUBH 6033—Week 7 Assignment 1 Comparing two means: When drink drove a Student to statistics (Rubric included) Instructions For this assignment, you review this week’s Learning Resources and then perform a two-sample independent t-test and an ANOVA related to the dataset that was utilized in the week 2 SPSS application assignment. Import the data into SPSS; or, if you correctly saved the data file in week 2, you may open and use that saved file to complete this assignment. Type your answers to all questions directly into the worksheet, and paste the required output at the end of this document. Submit this Application Assignment by Day 7. --------------------------------------------------------------------------------------------------------------------- Research Scenario A study was conducted to determine if a walking plus strength training exercise program results in a significantly greater increase in aerobic capacity as compared to a walking only exercise program. Participants are randomly selected and then randomly assigned to one of the exercise groups. Participants’ aerobic endurance was assessed at the beginning of the study and, again, after 6-months of exercise. Coding for study variables: • AGE—age in years • SEX—1 =male, 2=female • EXERCISE—1= walking and strength training; 2 = walking; • CHNG_ENDUR—change in maximal oxygen uptake (liters per minute) from pre-test to post-test --------------------------------------------------------------------------------------------------------------------- Note: Save all of your SPSS output. You will paste copies in steps 7-9, below. Step 1: Review this week’s Learning Resources. Step 2: Import the Microsoft Excel data file provided in this week’s learning resources into SPSS (or open saved file from week 2 application assignment). Step 3: Run and save the Codebook for your SPSS data file Step 4: Conduct an independent samples t-test to determine if there is a difference between the exercise type 1 and 2 in terms of changes in maximal oxygen uptake. Note that the independent variable is EXERCISE, and the dependent variable is CHNG_ENDUR. For this analysis, choose a two-tailed test of significance. Step 5: Conduct a between-subjects ANOVA to determine if there is a difference between sex (males vs. females) and CHNG_ENDUR. Note that the independent variable is SEX, and the dependent variable is CHNG_ENDUR. For this analysis, choose a two-tailed test of significance. Step 6: Review your SPSS output and answer each of the following questions: QUESTION type answers below Score (to be entered by instructor) From the independent samples t-test output: 1. What is the mean CHNG_ENDUR for group 1? ___4.60_____________ ____ / 3 points 2. What is the CHNG_ ENDUR standard deviation for group 1? ___1.429_____________ ____ / 3 points 3. What is the mean CHNG_ENDUR for group 2? ___3.40_____________ ____ / 3 points 4. What is the CHNG_ ENDUR standard deviation for group 2? __1.392______________ ____ / 3 points 5. What is the value of the t-statistic (equal variances assumed)? __2.690______________ ____ / 3 points 6. What is the probability that the obtained t-statistic was simply due to chance as opposed to actual exercise type differences [see “Sig (two-tailed)” on output]? ___.011_____________ ____ / 3 points 7. Are the results statistically significant at alpha = 0.05 (yes or no)? ___yes_____________ ____ / 3 points 8. Based on the results, do you reject or fail to reject the null hypothesis? ___accept_____________ ____ / 3 points From the ANOVA output: 9. What is the mean CHNG_ENDUR for males? ___3.82_____________ ____ / 3 points 10. What is the CHNG_ENDUR standard deviation for males? ____1.468____________ ____ / 3 points 11. What is the mean CHNG_ENDUR for females? _____4.22___________ ____ / 3 points 12. What is the CHNG_ENDUR standard deviation for females? _____1.592___________ ____ / 3 points 13. What is the calculated F-value? ___.0695_____________ ____ / 3 points 14. What is the probability (noted as “Sig” on output) that the obtained F-value was simply due to chance as opposed to actual gender differences? _____0.410___________ ____ / 3 points Step 7: Paste the SPSS Codebook output below. SAVE OUTFILE='C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav' /COMPRESSED. CODEBOOK AGE [s] SEX [n] EXERCISE [n] CHNG_ENDUR [s] /VARINFO POSITION LABEL TYPE FORMAT MEASURE ROLE VALUELABELS MISSING ATTRIBUTES /OPTIONS VARORDER=VARLIST SORT=ASCENDING MAXCATS=200 /STATISTICS COUNT PERCENT MEAN STDDEV QUARTILES. Codebook [DataSet0] C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav AGE Value Standard Attributes Position 2 Label AGE Type Numeric Format F8 Measurement Scale Role Input N Valid 40 Missing 1 Central Tendency and Dispersion Mean 40.13 Standard Deviation 12.457 Percentile 25 29.00 Percentile 50 40.50 Percentile 75 48.50 SEX Value Count Percent Standard Attributes Position 3 Label SEX Type Numeric Format F8 Measurement Nominal Role Input Valid Values 1 male 22 53.7% 2 female 18 43.9% Missing Values System 1 2.4% EXERCISE Value Count Percent Standard Attributes Position 4 Label EXERCISE Type Numeric Format F8 Measurement Nominal Role Input Valid Values 1 walking and strength training 20 48.8% 2 walking 20 48.8% Missing Values System 1 2.4% CHNG_ENDUR Value Standard Attributes Position 5 Label CHNG_ENDUR Type Numeric Format F8 Measurement Scale Role Input N Valid 40 Missing 1 Central Tendency and Dispersion Mean 4.00 Standard Deviation 1.519 Percentile 25 3.00 Percentile 50 4.00 Percentile 75 5.00 Step 8: Paste the independent samples t-test output below. FILE='C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav'. DATASET NAME DataSet1 WINDOW=FRONT. T-TEST GROUPS=EXERCISE(1 2) /MISSING=ANALYSIS /VARIABLES=CHNG_ENDUR /CRITERIA=CI(.95). T-Test [DataSet1] C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav Group Statistics EXERCISE N Mean Std. Deviation Std. Error Mean CHNG_ENDUR walking and strength training 20 4.60 1.429 .320 walking 20 3.40 1.392 .311 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper CHNG_ENDUR Equal variances assumed .395 .533 2.690 38 .011 1.200 .446 .297 2.103 Equal variances not assumed 2.690 37.973 .011 1.200 .446 .297 2.103 Step 9: Paste the ANOVA output below. GET FILE='C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav'. DATASET NAME DataSet1 WINDOW=FRONT. ONEWAY CHNG_ENDUR BY SEX /STATISTICS DESCRIPTIVES /MISSING ANALYSIS. Oneway [DataSet1] C:UsersMoyoDocumentsPUBH_6033_week-2_week_7 data.sav Descriptives CHNG_ENDUR N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound male 22 3.82 1.468 .313 3.17 4.47 1 7 female 18 4.22 1.592 .375 3.43 5.01 2 8 Total 40 4.00 1.519 .240 3.51 4.49 1 8 ANOVA CHNG_ENDUR Sum of Squares df Mean Square F Sig. Between Groups 1.616 1 1.616 .695 .410 Within Groups 88.384 38 2.326 Total 90.000 39 Section below (scoring) is to be completed by Instructor Scoring Rubric for week 2 assignment1—Hands on SPSS (60 points) Timeliness Fully Met Partially Met/Good Partially Met/Fair Not Met Timeliness Indicators Posted by the deadline Posted 1 day late Posted 2-4 days late Posted five or more days late Grade impact No impact 10% reduction in overall assignment score 20% reduction in overall assignment score 0 points Questions 14 questions (worth 3 points each) ____ / 42 points possible SPSS Output Three SPSS outputs (6 points each) ____ / 18 points possible Initial Score (60 possible points): Timeliness Factor (late points deducted):

Explanation / Answer

In 5) you are given assume equal variance so you are taking value of unequal variance 2.690 actually t statistics for equal variance is 2.103

All answers are right . very good.