Statistics Assignment | Professional Writing Services
1. Explain how to interpret the following items in the output of var.test():
1.1 F = 0.332
1.2 num df = 9, denom df = 19
1.3 p-value = 0.094
1.4 alternative hypothesis: true ratio of variances is not equal to 1
1.5 95 percent confidence interval: 0.11519 1.22196
1.6 sample estimates: ratio of variances 0.33175
2 In the example below:
2.1 what is the null hypothesis Ho?
2.2 what is the significance level?
2.3 having compared the p-value with the significance level, should we reject Ho?
2.4 having compared the sample estimate and the confidence interval, should we reject Ho?
set.seed(101)x <- runif(n=10, min=6, max=10)set.seed(102)y <- runif(n=20, min=12, max=18)var.test(x, y)
F test to compare two variances data: x and y
F = 0.332, num df = 9, denom df = 19, p-value = 0.094
alternative hypothesis: true ratio of variances is not equal to 1 95 percent
confidence interval: 0.11519 1.22196s
ample estimates: ratio of variances 0.33175
i ran the test my self the following above are results just need help answering them
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