Answer the below questions (5) based on the tables (statistics) provided below, preferably in paragraphs.

1. Interpret the results of the statistical analysis (do you reject the null; do you accept the null?). Explain in lay terms what rejecting/accepting the null means in your case.
2. Look at the means of each group. Is this what you expected the outcome to be? Why or why not?
3. What additional tests should be run to further determine which of the means are different from each other? Did SPSS run those tests? What can you ascertain about which means are different from each other and why?
4. Describe your statistical results in narrative (sentence) form for the problem for the results.
5. What are some limitations of using the outcome of these test results? What might some additional variables be that weren't accounted for? Is this sample size powerful enough to make a determination about the larger population?

Notes Output Created 14-MAY-2024 14:02:17 Comments Input Active Dataset DataSet3 Filter Weight Split File N of Rows in Working Data 31 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each analysis are based on cases with no missing data for any variable in the analysis. Syntax ONEWAY NumberofErrors BY Group /STATISTICS DESCRIPTIVES /PLOT MEANS /MISSING ANALYSIS /CRITERIA=CILEVEL (0.95) /POSTHOC=LSD ALPHA (0.05). Resources Processor Time 00:00:00.08 Elapsed Time 00:00:00.19 [ DataSet.3] Descriptives Number of Errors 95% Confidence Interval for Mean N Mean Sid. Deviation Std. Error Lower Bound Upper Bound Minimum 1 10 24.20 4.237 1.340 21.17 27.23 18 2 10 28.80 3.458 1.093 26.33 31.27 23 10 20.10 3.479 1.100 17.61 22.59 15 Total 30 24.37 5.109 .933 22.46 26.27 15Descriptives Number of Errors Maximum 32 2 35 3 25 Total 35 ANOVA Number of Errors Sum of Squares dif Mean Square F Sig. Between Groups 378.867 2 189.433 13.527 .000 Within Groups 378.100 27 14.004 Total 756.967 29 Post Hoc Tests Multiple Comparisons Dependent Variable: Number of Errors LSD 95% Confidence Interval Mean () Group (J) Group Difference (1-J) Std. Error Sig. Lower Bound Upper Bound 1 2 4.600 1.674 .011 -8.03 -1.17 3 4.100 1.674 .021 67 7.53 2 1 4.600 1.674 .011 1.17 8.03 3 8.700 1.674 .000 5.27 12.13 1 -4.100 1.674 .021 -7.53 -67 2 -8.700 1.674 .000 -12.13 -5.27 ". The mean difference is significant at the 0.05 level.\f