A concern in allowing the tinting of car windows is that tasks performed through these windows often require the rapid detection of low-contrast, unilluminatated targets. If window tinting interferes with the detection of targets, then road safety may be compromised. A random sample of 130 U.S. drivers was selected to participate in a study. Participants were randomly assigned to drive a car with a predetermined degree of tinting on the windows (tint: "no window tinting" or "some window tinting"). For each participant, the inspection time (in milliseconds) was recorded. Here, inspection time is defined as the time required to perform a simple discrimination task through the car windows. The researcher would like to use these results to investigate the effect of window tinting on inspection time, on average, for all U.S. drivers.The researcher uses R and provides the following R output: Levene's Test for Homogeneity of Variance (center = "mean") Df F value Pr (>F) group 1 1. 3605 0.2456 128 Welch Two Sample t-test OUTPUT A data: inspect by tint t = 2.3849, df = 91.54, p-value = 0.01915 alternative hypothesis: true difference in means is not equal to 0 Two Sample t-test OUTPUT B data: inspect by tint t = 2.5003, df = 128, p-value = 0.01367 alternative hypothesis: true difference in means is not equal to 0 1) First examine Levene's output and provide an appropriate decision and conclusion regarding Levene's Test. Include any numerical values from the output you are using to form your conclusion. 2) Next, based on your conclusion of Levene's Test, which output should be used by the researcher ~ Output A or Output B