Hi, I need help to understand and to complete this SPSS Assignment. Please help me solve this out, i have provided all the related documents, SPSS assignment sheet, and SPSS Anxiety, and Employee statistic Data down below.

Reliability Notes Output Created 11-NOV-2022 09:38:49 Comments Input Data C: \\Users\\drnan\\Downloads\\S AQ.sav Active Dataset DataSet2 Filter Weight Split File N of Rows in Working Data 2571 File Matrix Input C: \\Users\\drnan\\Downloads\\S AQ.sav Missing Value Handling Definition of Missing User-defined missing values are treated as missing Cases Used Statistics are based on all cases with valid data for all variables in the procedure. Syntax RELIABILITY NVARIABLES=Question_0 1 Question 03 Question_04 Question_05 Question_12 Question_14 Question_10 Question 21 ISCALE('ALL VARIABLES') ALL /MODEL=ALPHA/STATISTICS=DESCRIPT IVE SCALE CORR /SUMMARY=TOTAL MEANS VARIANCE CORR. Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.00 [DataSet2] C: \\Users\\drnan\\Downloads\\SAQ. savScale: ALL VARIABLES Case Processing Summary N % Cases Valid 2571 100.0 Excludeda 0 .0 Total 2571 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha Based on Cronbach's Standardized Alpha Items N of Items .582 .617 8 Item Statistics Mean Std. Deviation N Statistics makes me cry 2.37 828 2571 Standard deviations excite 2.59 1.075 2571 me I dream that Pearson is 2.79 949 2571 attacking me with correlation coefficients I don't understand statistics 2.72 965 2571 People try to tell you that 3.16 916 2571 SPSS makes statistics easier to understand but it doesn't Computers have minds of 2.88 .999 2571 their own and deliberatelyComputers have minds of their own and deliberately go wrong whenever I use them Computers are useful only for playing games I wake up under my duvet thinking that I am trapped under a normal distribution 2.88 2.28 3.17 .999 .877 .985 2571 2571 2571 Inter-Item Correlation Matrix I dream that Pearson is Standard attacking me I don't Statistics deviations with correlation understand makes me cry excite me coefficients statistics Statistics makes me cry 1.000 .337 436 402 Standard deviations excite -.337 1.000 -.380 -.310 me I dream that Pearson is 436 -.380 1.000 401 attacking me with correlation coefficients I don't understand statistics 402 -.310 401 1.000 People try to tell you that .345 -.410 .442 347 SPSS makes statistics easier to understand but it doesn't Computers have minds of 338 -.371 351 .315 their own and deliberately go wrong whenever I use them Computers are useful only 214 -. 193 216 258 for playing games I wake up under my duvet 329 -.417 410 335 thinking that I am trapped under a normal distributionStatistics makes me cry Standard deviations excite me I dream that Pearson is attacking me with correlation coefcients I don't understand statistics People try to tell you that SPSS makes statistics easier to understand but it doesn't Computers have minds of their own and deliberately go wrong whenever I use them Computers are useful only for playing games I wake up under my duvet thinking that I am trapped under a normal distribution Inter-Item Correlation Matrix People try to tell you that SPSS makes statistics easier to understand but it doesn't .345 -.410 .442 .347 1.000 .433 .246 .441 Computers have minds of their own and deliberately go wrong whenever I use them .338 -.371 .351 .315 .433 1.000 .255 .399 Computers are useful only for playing games .214 -.193 .216 .258 .246 .255 1.000 .193 I wake up under my duvet thinking that I am trapped under a normal distribution .329 -.417 .410 .335 .441 .399 .193 1.000 Item Means Item Variances Inter-Item Correlations Item Means Item Variances Inter-Item Correlations Mean 2.744 .906 .167 N of Items Summary Item Statistics Minimum Maximum Range 2.281 3.171 .890 .686 1.156 .470 -.417 .442 .859 Summary Item Statistics Maximum l Minimum 1.390 1.686 -1.059 Variance .107 .021 .095 Item-Total Statistics Corrected Item- Squared Scale Mean if Scale Variance Total Multiple Item Deleted if Item Deleted Correlation Correlation Statistics makes me cry 19.58 11.423 475 293 Standard deviations excite 19.37 18.482 -.527 292 me I dream that Pearson is 19.17 10.667 516 .354 attacking me with correlation coefficients I don't understand statistics 19.23 10.811 477 277 People try to tell you that 18.80 10.847 510 358 SPSS makes statistics easier to understand but it doesn't Computers have minds of 19.08 10.712 468 298 their own and deliberately go wrong whenever I use them Computers are useful only 19.67 12.081 314 .117 for playing games I wake up under my duvet 18.78 10.827 458 .326 thinking that I am trapped under a normal distributionStatistics makes me cry Standard deviations excite me I dream that Pearson is attacking me with correlation coefcients I don't understand statistics People try to tell you that SPSS makes statistics easier to understand but it doesn't Computers have minds of their own and deliberately go wrong whenever I use them Computers are useful only for playing games I wake up under my duvet thinking that I am trapped under a normal distribution Cronbach's Item-Total Statistics Alpha if Item Deleted .496 .782 .472 .485 .477 .486 .541 .490 Scale Statistics Variance 14.767 Mean 21.96 Std. Deviation 3.843 N of Items 8 PART 2 (EMPLOYEE nm) 5 POINTS Make appropriate forms of data display for: J Job (Employment) Type I Current Salary See my HINT above. I want a bar graph or pie chart for the categorical data, and a histogram or other appropriate type of quantitative display for the numerical data. This is 5 easy points, do not boot it by failing to think. Anxiety 2 (2).sav [DataSet1] - IBM SPSS Statistics Data Editor TTTT .. . . . ... ... . ...... + Name Values Type Width Decimals Label Missing Columns Align Measure Role H subject None Numeric 5 None 6 Center Scale Input N anxiety {1, low}.. Numeric 5 0 None 8 Center Scale Input W tension {1, low}.. Numeric 5 0 None 7 Center Scale Input 4 trial 1 None Numeric 5 0 None 5 Center Scale Input UT trial2 None Numeric 5 0 None Center Scale Input 6 trial3 None Numeric 5 0 None Center Scale Input 7 trial4 None Numeric 5 0 None 5 Center Scale Input 8 9 10 11 12 13 14Employee data (2).sav [DataSet2] - IBM SPSS Statistics Data Editor .......... . . . . . . ..... . . . . . . . .... + Name Values Type Width Decimals Label Missing Columns Align Measure Role id None Numeric 4 Employee Code None 8 Center Scale Input N gender {f, Female}... String 7 O Gender None Left Nominal Input W educ 10, 0 (Missin... Numeric N 0 Educational Lev... 0 8 Center Ordinal Input 4 jobcat 10, 0 (Missin... Numeric 0 Employment Ca... 0 8 Center Ordinal Input UT salary [0, missing)... Numeric 0 Current Salary 0 8 Center Scale Input 6 salbegin {0, missing}... Numeric 8 0 Beginning Salary 0 8 Center Scale Input 7 jobtime {0, missing)... Numeric N 0 Months since H... 0 8 Center Scale Input 8 prevexp [0, missing}... Numeric 6 0 Previous Experi... None 8 Center Scale Input 9 minority {0, No}... Numeric 1 0 Minority Classif... 9 8 Center Ordinal Input 10 11 12 13 14 15 16 17 18 19 20 21BASED ON DATASETS IN THIS FOLDER PART 1 (ANXIEIYISAVJ 10 POINTS Caiculate descriptive statistics for trials 1 through 4 including: J Three forms of central tendency I Two forms of dispersion I The 3 percentiles (25, 50, 75) between D and 100 Create the correct form of data display for all four trials (4 separate charts). Hint: what SPSS o'ers you as a default may not be the correct one to choose. You have a brain; SPSS is software. \"Computers do what you tell them to do, not what you want them to do.\" This dataset originates from ctional research on an anxiety reduction intervention. The Anxiety column is an initial measure (baseline). Calculate a correlation between Anxiety and Trial 1 and another Anxiety and Trial 4. What can you conclude about the possible results of this research based on the difference or lack of a difference in the correlations? Be careful about using the word \"cause\" given the nature of this statistic. 5 POINTS EXTRA CREDIT Use the materials you are required to have access to/own LAERD and DR. MAYS P_S_S_\\_I_II_)_E_Q TUTOR to gure out how to run a REPEATED MEASURES Analysis of Variance on Trials 1-4. Comment on the possible meaning of