hypo.pvalue.mean:

# Defining a function hypo.pvalue.mean alfa do NOT reject H0 ") } }

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hypo.pvalue.mean.two alpha do NOT reject H0 ") } } #-------------------------------------------------------------------

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hypo.pvalue.prop.two alpha do NOT reject H0 ") } }

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hypo.F.test= ncol(mydata)-1){ stop("Not applicable") } if (col_delete==0){ mydata=mydata }else if (col_delete > 0 | col_delete

if (approach == 1) { print("----------------------------------------------------------------------") print(head(mydata)) print("----------------------------------------------------------------------") critical.value = abs(critical.value)) { print(c( "Test Statistic" = f, "Critical Value" = critical.value )) print("Because test.statistic >= critical.value reject H0 ") } else { print(c( "Test Statistic" = f, "Critical Value" = critical.value )) print("Because test.statistic alpha do NOT reject H0 ") } } }

for parts of the question that has R sign next to it please solve using R-studio to solve . Please show the codes for R script thank you

Question 3 A researcher studies wage discrepancies among the seven regions of the Turkey and considers the full-time, hourly-wage workers between the ages of 20 and 40. Researchers randomly selected 200 workers meeting the age criteria from Marmara Region, Aegean Region, Mediterranean Region, Black Sea, Central, Anatolian, Eastern Anatolian and Southern Anatolian Region recorded their hourly pay rates. According to the proper analysis what conclusions can the researchers make at 97.5% confidence level? a) Set your null and alternative hypothesis then conduct the analysis manually using p-value approach and interpret your result (Manual Computation using R). b) Validate your result in part a) using the proper predefined function R (Use critical-value approach). c) Using the aov function construct the anova table using R. > Solve using a pencil and paper R Requires an answer using R