title: “Correlations_ASSIGNMENT” author: “FUZAIL” date: “2026-02-07” output: html_document ———————
DatasetA
## [1] 6.135609
## [1] 1.369224
## [1] 90.06906
## [1] 6.795224
DatasetB
## [1] 5.063296
## [1] 2.056833
## [1] 6.938459
## [1] 1.351332
DatasetA
DatasetB
DatasetA
##
## Shapiro-Wilk normality test
##
## data: DatasetA$StudyHours
## W = 0.99388, p-value = 0.9349
##
## Shapiro-Wilk normality test
##
## data: DatasetA$ExamScore
## W = 0.96286, p-value = 0.006465
DatasetB
##
## Shapiro-Wilk normality test
##
## data: DatasetB$ScreenTime
## W = 0.90278, p-value = 1.914e-06
##
## Shapiro-Wilk normality test
##
## data: DatasetB$SleepingHours
## W = 0.98467, p-value = 0.3004
#DatasetA
##
## Pearson's product-moment correlation
##
## data: DatasetA$StudyHours and DatasetA$ExamScore
## t = 20.959, df = 98, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.8606509 0.9346369
## sample estimates:
## cor
## 0.904214
## Warning in cor.test.default(DatasetA$StudyHours, DatasetA$ExamScore, method =
## "spearman"): Cannot compute exact p-value with ties
##
## Spearman's rank correlation rho
##
## data: DatasetA$StudyHours and DatasetA$ExamScore
## S = 16518, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9008825
#DatasetB
##
## Pearson's product-moment correlation
##
## data: DatasetB$ScreenTime and DatasetB$SleepingHours
## t = -8.2538, df = 98, p-value = 7.27e-13
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.7433008 -0.5078341
## sample estimates:
## cor
## -0.6403761
##
## Spearman's rank correlation rho
##
## data: DatasetB$ScreenTime and DatasetB$SleepingHours
## S = 259052, p-value = 3.521e-09
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.5544674
DatasetA
#DatasetB
DatasetA Report
## # StudyHours (M = 6.14, SD = 1.37) was correlated with ExamScore (M = 78.60, SD = 6.80), ρ(98) = .90, p < .001.
## # The relationship was positive and strong. As StudyHours increased, ExamScore increased.
DatasetB Report
## # ScreenTime (M = 5.06, SD = 2.06) was correlated with SleepingHours (M = 6.94, SD = 1.35), ρ(89) = -.52, p = .004.
## # The relationship was negative and moderate. As ScreenTime increased, SleepingHours decreased.