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OPTION 2: > t.test(suv, compact, alternative = two.sided, var.equal = FALSE, conf.level = 0.9618) Welch Two Sample t-test data: suv and compact t = 2.1883,

OPTION 2: > t.test(suv, compact, alternative = "two.sided", var.equal = FALSE, conf.level = 0.9618) Welch Two Sample t-test data: suv and compact t = 2.1883, df = 20.03, p-value = 0.04066 alternative hypothesis: true difference in means is not equal to 0 96.18 percent confidence interval: -0.1237701 17.7951987 sample estimates: mean of x mean of y 32.60000 23.76429 OPTION 3: > t.test(suv, compact, alternative = "two.sided", var.equal = TRUE, conf.level = 0.9618) Two Sample t-test data: suv and compact t = 2.1883, df = 26, p-value = 0.03782 alternative hypothesis: true difference in means is not equal to 0 96.18 percent confidence interval: 0.01872447 17.65270410 sample estimates: mean of x mean of y 32.60000 23.76429 ) State the 96.18% confidence interval using Option 3. Is there evidence of SUV and Compact Car average driver times to parallel park? If there is a SUV driver time longer, or is the average Compact Car driver time longeR

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