the positions in a corporation‚ such as chief operating officer or controller‚ are examples of what level of measurement7) Shoe sizes‚ such as 7B‚ 10D‚ and 12EEE‚ are examples of what level of measurement8) Monthly commissions of first-year insurance brokers are 1‚270‚ 1‚310‚ 1‚680‚ 1‚380‚ 1‚410‚ 1‚570‚ 1‚180‚ and 1‚420. These figures are referred to as9) A small sample of computer operators shows monthly incomes of 1‚950‚ 1‚775‚ 2‚060‚ 1‚840‚ 1‚795‚ 1‚890‚ 1‚925‚ and 1‚810. What are these ungrouped
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then we will make a type II error. Analysis work for the first survey (270 patrons) We conducted hypothesis testing with a sample size of 270 people‚ 20 people agree with Tommy‚ and resent the commercials before the movie. P = 10% (percentage for which Mr. Plex and consortium considers to determine to settle with Tommy) P^ = 20/270 = 0.074 = 7.4% (percentage of sample of those who agree with Tommy and resented the ads) n = 270 (Patrons); P= 10% = 0.1; P^ = 0.074; q = 1- 0.1=0.9 Since： Therefore
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ANOVA. Many statisticians think of ANOVA as an extension of the difference of means test because it’s based‚ in part‚ on a comparison of sample means. At the same time‚ however‚ the procedure involves a comparison of different estimates of population variance—hence the name analysis of variance. Because ANOVA is appropriate for research involving three or more samples‚ it has wide applicability. Imagine for a moment that we want to know if scores on an aptitude test actually vary for students in different
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pictures which supported the picture superiority effect‚ this experiment measured the number of items recalled by participants that had either been given word or picture stimulus. The experiment was of an unrelated design in which thirty-four opportune sample participant’s from the University of Glamorgan were assigned to either a picture condition or a word condition and asked to memorise as many of the items from their assigned condition as possible. Based on previous evidence‚ the research hypothesis
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Activity Sampling |Activity Sampling |A technique in which a large random sample of snap observations is taken over a period of time of a group | |(also known as Work |of machines‚ processes or workers. | |Sampling) |Each observation records what is happening at that instant of time randomly picked. The percentage of | | |observations recorded for a particular activity or
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Task 1: Census Data Gathering According to the census data‚ the population consists of July 2011 intake‚ January 2012 intake and March 2012 intake of the SAM students of Taylor’s College Subang Jaya campus who are taking Mathematical subject. The size of the population is 722 people. Based on the data‚ the parameters that can be measured include standard deviation‚ mean‚ and percentage. There are several problems such as some students might answer the survey more than once‚ possibly resulting
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quantitatively describing the main features of a collection of data.[1] Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that descriptive statistics aim to summarize a sample‚ rather than use the data to learn about the population that the sample of data is thought to represent. This generally means that descriptive statistics‚ unlike inferential statistics‚ are not developed on the basis of probability theory.[2] Even when a data analysis draws its main
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0 | Fit a Poisson distribution to the data and test the goodness of fit. 3. A drug manufacturer has installed a machine which automatically fills 5 gm of drug in each phial. A random sample of fills was taken and it was found to contain 5.02 gm on an average in a phial. The standard deviation of the sample was 0.002 gms. Test at 5% level of significance if the adjustment in the machine is in order. (Ans. tcal = 33.33‚ H0 is rejected.) 4. The heights of 10 males of a given locality are found
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Assignment 1 To investigate the effects of the land size (lotsize)and house size (sqrft) on the house price (price) in a particular suburb‚ the following model log()=0+1log()+2log()+ is used. a) What is the meaning of 1in this model? b) Explain why you would (or would not) expect that 1>0. c) Explain the meaning of the zero-conditional-mean assumption for this model. d) Download the description file “hprice1.des” and data file “hprice1.raw” from the course website
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Impact of Competitive Advantage on Firms Growth Abstract Purpose: The purpose of this paper is to measure the Impact of Competitive Advantage on Firms Growth and firm’s performance. Methodology: Data were collected from 2 organizations using Questionnaires. The questionnaire consists of eighteen items that includes four items for demographic‚ four items for measuring training‚ five items for competitive advantage‚ three items for organization performance and two items for organization growth
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