Use the dataset file chapter6_homework_data.xlsx.
    Focus on Statics_Grade as the primary variable. If you need a second variable, pick any numeric
    column (e.g., Class_Participation). Submit plots and brief answers; no solutions are provided on this page.
  
đ Dataset: Open Excel file in browser ¡ Download Excel File
đ§ Need step-by-step Excel help? Open Chapter 6 â Excel Help (copy-ready formulas). Reference video: YouTube QâQ Plot walkthrough.
Statics_Grade, compute: n, mean, median, sample stdev (s), min, max, range, and IQR.Statics_Grade with 8 bins. Describe the shape (symmetric/skewed), and any unusual features.Statics_Grade. Using the 1.5ĂIQR rule, list any suspected outliers (by row ID or value).Statics_Grade. Comment on whether normality seems reasonable and where deviations occur.Statics_Grade. How many observations have |z| > 2? Briefly interpret.Statics_Grade (y-axis) vs a numeric variable of your choice (x-axis; e.g., Class_Participation). Describe the trend and note any unusual points.=AVERAGE(), =MEDIAN(), =STDEV.S(), =MIN(), =MAX(), IQR via =QUARTILE.EXC(r,3)-QUARTILE.EXC(r,1). Or Insert â PivotTable for grouped summaries.=COUNTIF(range, value) to spot duplicates.w=2*IQR*n^(-1/3), bins â (maxâmin)/w.=AVERAGE(B3:B7) for a 5-point mean, fill down. Or Data â Data Analysis â Moving Average. Keep raw series visible.STDEV.P for full populations (Ď), STDEV.S for samples (s, divides by nâ1). Usually use STDEV.S.z=(xâmean)/SD. If mean in F2 and SD in F3: =(A2-$F$2)/$F$3 then fill. Now different units are comparable.=CORREL(col1,col2) or Data â Data Analysis â Correlation. Treat |r|>0.8 as a multicollinearity warning pre-regression.=LN(x) or =LOG10(x). Re-plot to confirm symmetry and stabilized spread.AVERAGEIF(range,"<>"&"")) and report the count used. Donât auto-fill with zeros.