I need help solving this problem. I conducted a One-Way ANOVA analysis for the following question: "Is there a difference in software development efficiency among developers with low, average, and high scores on a technical interview?" From the tables and charts below, please provide an interpretation of whether there is a difference or no difference. Please describe the results in APA guidelines and paragraph format as of reporting in a journal article, including the tests used, the variables that were examined, and what these results suggest.

Note: Use the most appropriate tables as well as the charts if needed, and provide a title for each table and charts. Thank you.

Table 21

One-Way ANOVA (Welch's)
	F	df1	df2	p
SoftwareDevelopmentEfficiency	4.04	2	53.8	0.023

Table 22

Group Descriptives
	Technical_Interview_Rating; 1= low, 2= average, 3=high	N	Mean	SD	SE
SoftwareDevelopmentEfficiency	1	49	47.2	23.0	3.28
2	26	47.1	18.0	3.53
3	25	62.8	24.6	4.93

Table 23

Homogeneity of Variances Test (Levene's)
	F	df1	df2	p
SoftwareDevelopmentEfficiency	1.44	2	97	0.241

Table 24

Tukey Post-Hoc Test - SoftwareDevelopmentEfficiency
		1	2	3
1	Mean difference		0.107	-15.6
p-value		1.000	0.014
2	Mean difference			-15.7
p-value			0.035
3	Mean difference
p-value

Table 25

Descriptives
	Technical_Interview_Rating; 1= low, 2= average, 3=high	SoftwareDevelopmentEfficiency
N	100	100
Missing	0	0
Mean	1.76	51.1
Median	2.00	51.5
Mode	1.00	40.0
Standard deviation	0.830	23.0
IQR	1.25	36.0
Minimum	1	0
Maximum	3	100
More than one mode exists, only the first is reported

Figure 15