標(biāo)題: Titlebook: Basic Business Statistics; A Casebook Dean P. Foster,Robert A. Stine,Richard P. Waterman Textbook 1997 Springer-Verlag New York 1997 statis [打印本頁] 作者: FROM 時(shí)間: 2025-3-21 16:38
書目名稱Basic Business Statistics影響因子(影響力)
書目名稱Basic Business Statistics影響因子(影響力)學(xué)科排名
書目名稱Basic Business Statistics網(wǎng)絡(luò)公開度
書目名稱Basic Business Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Basic Business Statistics被引頻次
書目名稱Basic Business Statistics被引頻次學(xué)科排名
書目名稱Basic Business Statistics年度引用
書目名稱Basic Business Statistics年度引用學(xué)科排名
書目名稱Basic Business Statistics讀者反饋
書目名稱Basic Business Statistics讀者反饋學(xué)科排名
作者: 摘要 時(shí)間: 2025-3-21 22:06
Heilpflanzenkunde für Tier?rztemmon sense, subtle biases often creep in when sampling is done. When this is the case, the inference may be very misleading. We will discuss some of these biases and explain sampling methods designed to avoid bias.作者: osteopath 時(shí)間: 2025-3-22 03:30
Standard Error,ch as the mean vary less than the original data. How much less? Today we show how variation in the average, as measured by its standard error, is related to variation in the individual values. We then determine, with the help of the normal model and the empirical rule, how to set one type of control limits.作者: Simulate 時(shí)間: 2025-3-22 05:30 作者: 制度 時(shí)間: 2025-3-22 12:30
Statistical Summaries of Data,portant task — is to learn how to selectively interpret the results and communicate them to others. The priorities are as follows: first, displaying data in useful, clear ways; second, interpreting summary numbers sensibly.作者: Monotonous 時(shí)間: 2025-3-22 14:19
Standard Error,ous types of processes. The key idea in developing these charts combines the empirical rule from Class 2 with our observation that summary measures such as the mean vary less than the original data. How much less? Today we show how variation in the average, as measured by its standard error, is rela作者: 線 時(shí)間: 2025-3-22 17:48 作者: 手勢(shì) 時(shí)間: 2025-3-22 23:17
Confounding Effects in Tests: A Case Study,ffer in more ways than one expects. In this case study, we consider how such confounding factors influence the outcome of statistical tests and show how, with a little luck and the right questions, we can avoid the worst mistakes.作者: ICLE 時(shí)間: 2025-3-23 03:31
Dean P. Foster,Robert A. Stine,Richard P. Waterman作者: Decimate 時(shí)間: 2025-3-23 08:35 作者: 貪婪地吃 時(shí)間: 2025-3-23 09:47 作者: arcane 時(shí)間: 2025-3-23 15:03
Heilpflanzenkunde für Tier?rzteWe all sense that large samples are more informative than small ones, because of something vaguely called the “l(fā)aw of averages.” This class considers how to use the information in a sample to make a claim about some population feature. The normal distribution plays a key role.作者: Credence 時(shí)間: 2025-3-23 20:26
Heilpflanzenkunde für Tier?rzteIn quality problems, we need to be assured that the process is functioning as designed. Therefore, ideas related to the confidence interval for the process mean are fundamental. In making a decision between two competing alternatives, we find that new issues arise.作者: JADED 時(shí)間: 2025-3-24 01:53 作者: 迎合 時(shí)間: 2025-3-24 05:13
Heilpflanzenkunde für die Veterin?rpraxisTests based on paired comparisons discussed in Class 8 are often able to detect differences that would require much larger samples without the pairing. Why does this pairing work?作者: 裝勇敢地做 時(shí)間: 2025-3-24 09:28 作者: Ostrich 時(shí)間: 2025-3-24 11:32
Overview and Foundations,The notes for this class offer an overview of the main application areas of statistics. The key ideas to appreciate are data, variation, and uncertainty.作者: 本土 時(shí)間: 2025-3-24 15:58
Sources of Variation,Why do data vary? When we measure GMAT scores, stock prices, or executive compensation, why don’t we get a constant value for each? Much of the statistical analysis of data focuses upon discovering sources of variation in data.作者: 任意 時(shí)間: 2025-3-24 22:50
Confidence Intervals,We all sense that large samples are more informative than small ones, because of something vaguely called the “l(fā)aw of averages.” This class considers how to use the information in a sample to make a claim about some population feature. The normal distribution plays a key role.作者: 雀斑 時(shí)間: 2025-3-25 00:59 作者: 有發(fā)明天才 時(shí)間: 2025-3-25 03:27 作者: 陶瓷 時(shí)間: 2025-3-25 09:56
Covariance, Correlation, and Portfolios,Tests based on paired comparisons discussed in Class 8 are often able to detect differences that would require much larger samples without the pairing. Why does this pairing work?作者: V洗浴 時(shí)間: 2025-3-25 12:06 作者: Adenocarcinoma 時(shí)間: 2025-3-25 16:47 作者: 嫻熟 時(shí)間: 2025-3-25 23:38
Heilpflanzenkunde für Tier?rzteportant task — is to learn how to selectively interpret the results and communicate them to others. The priorities are as follows: first, displaying data in useful, clear ways; second, interpreting summary numbers sensibly.作者: Glossy 時(shí)間: 2025-3-26 00:24
Heilpflanzenkunde für die Veterin?rpraxisffer in more ways than one expects. In this case study, we consider how such confounding factors influence the outcome of statistical tests and show how, with a little luck and the right questions, we can avoid the worst mistakes.作者: 滔滔不絕的人 時(shí)間: 2025-3-26 06:47 作者: 玉米棒子 時(shí)間: 2025-3-26 08:46
Statistical Summaries of Data,portant task — is to learn how to selectively interpret the results and communicate them to others. The priorities are as follows: first, displaying data in useful, clear ways; second, interpreting summary numbers sensibly.作者: nettle 時(shí)間: 2025-3-26 16:37 作者: chronicle 時(shí)間: 2025-3-26 17:46 作者: 惰性女人 時(shí)間: 2025-3-26 22:34
Heilpflanzenkunde für Tier?rzteportant task — is to learn how to selectively interpret the results and communicate them to others. The priorities are as follows: first, displaying data in useful, clear ways; second, interpreting summary numbers sensibly.作者: 的是兄弟 時(shí)間: 2025-3-27 04:13
Der Umgang mit dem kranken Tierous types of processes. The key idea in developing these charts combines the empirical rule from Class 2 with our observation that summary measures such as the mean vary less than the original data. How much less? Today we show how variation in the average, as measured by its standard error, is rela作者: Coronary 時(shí)間: 2025-3-27 07:25
Heilpflanzenkunde für Tier?rztermation obtained in a sample will be the main focus. For this inference to be valid, the sample needs to be representative. Though this sounds like common sense, subtle biases often creep in when sampling is done. When this is the case, the inference may be very misleading. We will discuss some of t作者: ALLEY 時(shí)間: 2025-3-27 11:32
Heilpflanzenkunde für die Veterin?rpraxisffer in more ways than one expects. In this case study, we consider how such confounding factors influence the outcome of statistical tests and show how, with a little luck and the right questions, we can avoid the worst mistakes.作者: 石墨 時(shí)間: 2025-3-27 15:35
7樓作者: 魅力 時(shí)間: 2025-3-27 18:01
8樓作者: cleaver 時(shí)間: 2025-3-28 00:17
8樓作者: 向下 時(shí)間: 2025-3-28 05:55
8樓作者: Explicate 時(shí)間: 2025-3-28 07:04
9樓作者: aspect 時(shí)間: 2025-3-28 11:09
9樓作者: 保留 時(shí)間: 2025-3-28 15:57
9樓作者: 詢問 時(shí)間: 2025-3-28 19:03
9樓作者: charisma 時(shí)間: 2025-3-29 02:44
10樓作者: 中止 時(shí)間: 2025-3-29 03:20
10樓作者: 拔出 時(shí)間: 2025-3-29 08:09
10樓作者: Perineum 時(shí)間: 2025-3-29 11:59
10樓
