# 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 n

# 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 n

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