1) Principles of Pseudoscience a) Glymour & Stalker b) 6 principles of pseudoscience (pg93-94) b.i) A coincidence in hand is worth two in the bush. b.ii) A purpose to everything and to everything a purpose. b.iii) The taller the story‚ the harder it falls. b.iv) Even physics isn’t all that precise. b.v) Science is number and gauges. b.vi) Saying no nit pickers. c) This is Glymour & Stalkers answer to the demarcation problem. Principles of Pseudoscience and falsifiability are both attempts
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An alpha level of 0.05 is arbitrary and was set as a standard by scientists. One of the key concepts in hypothesis testing is that of significance level or‚ the alpha level‚ which specifies the probability level for the evidence to be an unreasonable estimate. Unreasonable means that the estimate should not have taken its particular value unless some non-chance factor(s) had operated to alter the nature of the sample such that it was no longer representative of the population of interest Remember
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From the time we are born‚ labels are all around us. Harmless little terms such as "Mommy and Me Time" or "Playtime" are phrases we come to learn and understand as we grow‚ and introduce us to the whole concept of placing labels on things in our lives. The very idea of placing labels on things is a very human thing to do. In a world of chaos‚ we find it comforting to be able to place a nice little label on something and pack it away in a little corner of our mind where it can be with other like-labeled
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set of all strings consisting of the keyword begin‚ followed by zero or more statements with a semicolon after each one‚ followed by the keyword end. Use the non-terminal for statements‚ and do not give productions for it. g. The set of all strings consisting of one or more as with a semicolon after each one. h. The set of all strings consisting of the keyword begin‚ followed by one or more statements with a semicolon after each one‚ followed by the keyword end. Use the non-terminal for statements
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2. Young Professional magazine was developed for a target audience of recent college gradu- ates who are in their first 10 years in a business/professional career. In its two years of pub- lication‚ the magazine has been fairly successful. Now the publisher is interested in expanding the magazine’s advertising base. Potential advertisers continually ask about the demographics and interests of subscribers to Young Professional. To collect this informa- tion‚ the magazine commissioned a survey
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1. When someone says they are going to us a sample to draw an inference about a population‚ it means that rather than survey the entire population‚ they’ll survey a smaller group and apply the results to a larger group. For example‚ if you take a neighborhood in a town with 100 homes and survey approximately 80% of the households and 76% of those families own multiple televisions you may infer that the majority of the 100 home neighborhood also own multiple televisions. A simple random sample
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Chapter The Basic 2 Theory of Interest 1. (A nice inheritance) Use the "72 rule". Years = 1994-1776 = 218 years. (a) i = 3.3%. Years required for inheritance to double = Zf = 8 :’=! 21.8. Times doubled= Hi = 10 times. $1 invested in 1776 is worth 210 :’=! $1‚000 today. (b) i = 6.6%. Years required to double = ~ :’=! 10.9. Times doubled = ~ times. $1 invested in 1776 is worth 220 :’=! 000‚ 000 today. $1‚ 2. (The 72 rule) Using (1 + r)n = 2 gives nIn (1 +r) In2 = 0.69. We have nr :’=! 0.69 and
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Statistics 5371 Final Exam Review Fall 2012. 1. Suppose a researcher wants to design a new study with a power of 0.8 and a significance of 0.05 to test whether the caffeine content for a brand of coffee is really 100mg. A previous study gave a mean caffeine level for this brand of 110 mg and a standard deviation of 7 mg. Use PROC POWER to determine how many cups of coffee need testing. 2. A company did a study to estimate the effect of different promotional strategies on the market share of
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thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Reflective thinking Solutions Manual‚ Vol.1‚ Chapter 1 1–30 1–31 1–32 Reflective thinking Reflective thinking Reflective thinking Brief Exercises AACSB Tags 1–1 1–2 1–3 1–4 1–5 1–6 Analytic Reflective thinking Reflective thinking Reflective thinking
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sampling. d) descriptive statistics. ANSWER: a TYPE: MC DIFFICULTY: Easy KEYWORDS: inferential statistics 2. Those methods involving the collection‚ presentation‚ and characterization of a set of data in order to properly describe the various features of that set of data are called a) statistical inference. b) the scientific method. c) sampling. d) descriptive statistics. ANSWER: d TYPE: MC DIFFICULTY: Easy KEYWORDS: descriptive statistics 3. The collection and summarization of the socioeconomic
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