Suppose u, and H, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 9, x = 114.2, s, = 5.01, n = 9, y = 129.7, and s, = 5.36. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.)

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95% confidence interval is 

(xbar−ybar)±tα÷2(s21÷m)+(s22÷n)‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾√xbar-ybar±tα÷2s12÷m+s22÷n

(114.2−129.7)±(1.7396)(5.012÷9)+(5.362÷9)‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾√114.2-129.7±1.73965.012÷9+5.362÷9

(−15.5±4.25)-15.5±4.25

(-19.75 ,-11.25) 

 

Which is not correct, can you do it again? Thanks

Suppose u, and µ, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m =
9, х %3
114.2, s, = 5.01, n = 9, y = 129.7, and s,
5.36. Calculate
a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.)
In USE SALT
)
-20.68
-10.32
Transcribed Image Text:Suppose u, and µ, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 9, х %3 114.2, s, = 5.01, n = 9, y = 129.7, and s, 5.36. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) In USE SALT ) -20.68 -10.32
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