Well, I would just reverse it. It seems you just have to reverse the whole problem.
Step-by-step explanation:
everything can be found in the picture
We are given
<span>μ > 1180
</span><span>α = 0.02
</span><span>σ = 201.71
x = </span><span>1198.79
n = 200
The null hypothesis is </span>μ ≤ 1180 while the alternative hypothesis is μ > 1180
The test statistic is 1.32 which means that the confidence internval is 98%. Getting the z-score
z = (x - μ) / σ
z = (1198.79 - 1180) / 201.71
z = 0.093
For a normally distributed population, the z-score of 0.093 has a p-value of
p = 0.46
Answer:
33 R 19.8
1.6 goes into 52.8, 33 times, so write 33 while including the tens place.
↓ Subtract 52.8 by 33. ↓
Therefore, the answer is 33.
