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--- b:head_first_statistics:constructing_confidence_intervals [2019/12/04 11:58] – [Four steps for finding confidence intervals] hkimscil
+++ b:head_first_statistics:constructing_confidence_intervals [2019/12/05 13:46] – [Four steps for finding confidence intervals] hkimscil
@@ Line 10: / Line 10: @@
 Rather than specify an exact value, we can specify two values we expect flavor duration to lie between.
-{{:b:head_first_statistics:pasted:20191203-121916.png}}
+[{{:b:head_first_statistics:pasted:20191203-121916.png  }}] : As an example, you may want to choose a and b so that there’s a 95% chance of the interval containing the population mean. Finding the exact spot of a and b is the problem we are trying to solve.
-The far side of each end, (a, b) is called a confidence interval.
+The far side of each end, (a, b) is called a **//confidence interval//**.
-{{:b:head_first_statistics:pasted:20191203-122050.png}}
 ===== Four steps for finding confidence intervals =====
-Step 1: Choose your population statistic
+{{:b:head_first_statistics:pasted:20191203-122050.png}}
+<fs large>**Step 1:**</fs> Choose your population statistic
+If we go back to the work we did in the last chapter, then the sampling distribution of means has the following expectation and variance:
 {{:b:head_first_statistics:pasted:20191203-122301.png}}
-Step 2: Find its sampling distribution
+<fs large>**Step 2**</fs>: Find its __**sampling distribution**__
+샘플평균들의 분산은 ($Var(\overline{X})$) 모집단의 특성인데 (parameter), 이를 알 수는 없으므로 아래와 같이 샘플의 분산값을 ($s^{2}$) 사용하여 샘플평균들의 분포를 만든다.
 {{:b:head_first_statistics:pasted:20191203-122550.png}}
-Mighty Gumball used a sample of 100 gumballs to come up with their
-estimates, and they have calculated that s2 = 25. This means that
+Mighty Gumball used a sample of 100 gumballs to come up with their estimates, and they have calculated that s<sup>2</sup> = 25. This means that
 {{:b:head_first_statistics:pasted:20191203-122843.png}}
 {{:b:head_first_statistics:pasted:20191203-122946.png}}
-Step 3: Decide on the level of confidence
+<fs large>**Step 3:**</fs> Decide on the level of confidence
-Step 4: Find the confidence limits
+<fs large>**Step 4:**</fs> Find the confidence limits
 {{:b:head_first_statistics:pasted:20191203-123220.png}}