b:head_first_statistics:constructing_confidence_intervals
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b:head_first_statistics:constructing_confidence_intervals [2019/12/03 14:10] – [Just one more problem...] hkimscil | b:head_first_statistics:constructing_confidence_intervals [2019/12/05 13:46] – [Four steps for finding confidence intervals] hkimscil | ||
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Rather than specify an exact value, we can specify two values we expect flavor duration to lie between. | Rather than specify an exact value, we can specify two values we expect flavor duration to lie between. | ||
- | {{: | + | [{{: |
- | 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//**. | ||
- | {{: | ||
===== Four steps for finding confidence intervals ===== | ===== Four steps for finding confidence intervals ===== | ||
- | Step 1: Choose your population statistic | + | {{: |
- | Step 2: Find its sampling distribution | + | |
- | [{{: | + | <fs large>**Step 1:**</ |
- | Mighty Gumball used a sample of 100 gumballs to come up with their | + | If we go back to the work we did in the last chapter, then the sampling distribution |
- | estimates, and they have calculated that s2 = 25. This means that | + | {{: |
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+ | <fs large> | ||
+ | 샘플평균들의 분산은 ($Var(\overline{X})$) 모집단의 특성인데 (parameter), | ||
+ | {{: | ||
+ | |||
+ | |||
+ | |||
+ | Mighty Gumball used a sample of 100 gumballs to come up with their estimates, and they have calculated that s< | ||
{{: | {{: | ||
{{: | {{: | ||
- | Step 3: Decide on the level of confidence | + | <fs large>**Step 3:**</ |
- | Step 4: Find the confidence limits | + | <fs large>**Step 4:**</ |
{{: | {{: | ||
b/head_first_statistics/constructing_confidence_intervals.txt · Last modified: 2023/11/15 08:24 by hkimscil