182****7266
2022-05-12 14:53每個(gè)選項(xiàng)能都講一下嗎
所屬：FRM Part I > Quantitative Analysis 視頻位置 相關(guān)試題
來源： 視頻位置 相關(guān)試題
2個(gè)回答
Crystal助教
2022-05-15 16:50
該回答已被題主采納
A
Type II error refers to the failure to reject the H1 when it is actually false.
B
Hypothesis testing is used to make inferences about the parameters of a given population on the basis of statistics computed for a sample that is drawn from another population.
C
All else being equal, the decrease in the chance of making a Type I error comes at the cost of increasing the probability of making a Type II error.
D
If the p-value is greater than the significance level, then the statistics falls into the reject intervals.
A選項(xiàng)錯(cuò)誤，是因?yàn)槎愬e(cuò)誤表述的是沒有拒絕錯(cuò)誤的H0，不是H1
B選項(xiàng)錯(cuò)誤，是因?yàn)閍nother population，應(yīng)該是same population
C選項(xiàng)正確，一類和二類錯(cuò)誤此消彼長
D選項(xiàng)作物，p-value越小越拒絕
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追問
每個(gè)選項(xiàng)能解釋一下都什么意思嘛
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姚奕助教
2022-05-19 11:07該回答已被題主采納
A Type II error refers to the failure to reject the H1 when it is actually false.
解釋：什么是Type II error？受偽的錯(cuò)誤，所以是明明原假設(shè)是錯(cuò)的，卻沒有拒絕它。請(qǐng)注意是原假設(shè)H0，而不是H1. 所以A就錯(cuò)在這地方。
B Hypothesis testing is used to make inferences about the parameters of a given population on the basis of statistics computed for a sample that is drawn from another population.
解釋：假設(shè)檢驗(yàn)就是要對(duì)某一個(gè)總體的一個(gè)假設(shè)做出正確與否的判斷，那么當(dāng)然要從這個(gè)總體中去抽樣，才能代表該總體的參數(shù)情況，怎么可能從another population去抽樣呢？那是驢唇不對(duì)馬嘴了。
C All else being equal, the decrease in the chance of making a Type I error comes at the cost of increasing the probability of making a Type II error.
解釋：Type I error——拒真；Type II error——受偽，直觀理解，嚴(yán)打期間會(huì)把壞人一網(wǎng)打盡，但也可能冤枉很多好人；一旦放松了，不冤枉好人了，壞人又往往會(huì)被漏網(wǎng)，兩者不可兼得。
D If the p-value is greater than the significance level, then the statistics falls into the reject intervals.
解釋：永遠(yuǎn)記住一句話（死死地背下來）：Pvalue是能夠拒絕原假設(shè)的最小置信水平，最小！最小！最??！所以，只要任何significance level比Pvalue大，就能拒絕。你再看D選項(xiàng)，能理解了嗎？
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