Solution verification for hypothesis testing and confidence interval problem There's a random sa

Taliyah Spencer

Taliyah Spencer

Answered question

2022-04-19

Solution verification for hypothesis testing and confidence interval problem
There's a random sample of size n=10 observations over a normally distributed population with standard deviation σ=2:
8.7, 7, 4, 7.6, 3, 8.1, 6.4, 6.1, 9.4, 6.2
- Find 96% confidence interval for the population mean
- Test the hypothesis H0:μ=7.5 against Ha: μ7.5 with significance level α=0.01. Find approximation of the observed p value.
My Solution:
We are looking for real numbers l and u s.t.:
P(l<θ^<u)=0.96, where θ^=i=1nXinθnσ2N(0,1)
We are looking for z0.2 which from the z-score table is: 2.055. Therefore:
-2.055<i=1nXi-nθnσ2<2.055-2.05540<i=1nXi-nθ<2.05540

­12.996-66.5<-10θ<12.996-66.55.350<θ<7.94.
For the second part:
We set two z-scores: z1=2.325 and z2=2.325 from which we construct a two-tailed test.
Our test statistic is: t=(6.657.5)102=1.343t2.235 from where we see the test statistic t is not in the rejection region, therefore we fail to reject the null hypothesis.

Answer & Explanation

Gianna Travis

Gianna Travis

Beginner2022-04-20Added 11 answers

In first part of solution we must receive for duplex confidence interwal quantile: zα:ϕ(α)=1α2.
To second of part use program R
>data<c(8.7,7.0,4.0,7.6,3.0,8.1,6.4,6.1,9.4,6.2)
>X10=mean(data)
>X10
[1] 6.65
>u10=6.657.5210
>u10
[1]1.343968
>10.012
[1]0.995
>k=q0.995
>k
[1]2.575829
Value of statistic
u10=-1,34(-,-2,58><2,58,)
There are no reasons to reject H0 and to receive H1.

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