Week 5 - Inferential Statistics QNT/521 10/23/2014 Week 5 - Inferential Statistics TCSCK Investment Company ’s scenario poses the question: Is there a significant difference in price between the condominiums closer to the city compared to those further away from the city? The dependent variable is the price of the condominiums and the independent variable is distance from the city. Statistical Analytics The statistical tool used in our sampling is the t-score instead of the Z-score‚ reason being
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Descriptive statistics information Descriptive statistics organize‚ summarize‚ and communicate a group of numerical observations and describe large amounts of data in a single number or in just a few numbers Inferential statistics Use samples to draw conclusions about a population Inferential statistical use sample data to make general estimates about the larger population‚ and infer or make an intelligence guess about‚ the population Sample: a set of observations drawn from the population
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Chapter 4 Descriptive Statistics Upload the completed assignment using the file extension format Lastname_Firstname_Week3.doc. Assignment (32 points due by 11 pm October 14th) 1) The file ‘FastFood’ contains the amount that a sample of nine customers spent for lunch (in $) at a fast food restaurant. a) Compute the mean and the median. b) Compute the variance‚ standard deviation‚ range‚ and co-efficient of variation. c) Are the data skewed? If so‚ how? 2) The file ‘ChocolateChip’
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9.54 (a) At the .01 level of significance‚is the true mean greater than 10? Null Hypothesis: Ho: M = 10 :Mean is 10 or less pages Alternative Hypothesis: H1: M >10 :Mean is more than 10 pages Significance level=alpha (a) = 0.01 or 1% No of tails= 1 This is a 1-tailed test because we are testing that the mean is greater than 10 Since sample size= 35 >= 30 we will use normal distribution This is a one tailed test because we are testing the area in the right tail Since
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08 ETHE AUSTRALIAN NATIONAL UNIVERSITY SCHOOL OF FINANCE AND APPLIED STATISTICS First Semester Examination 2010 QUANTITATIVE RESEARCH METHODS (STAT1008) Writing Period: 3 hours duration Study Period: 15 minutes duration Permitted Material: Non-programmable calculator‚ dictionary and 1 A4 page with notes on both sides Instructions to Candidates: • Attempt ALL questions. • Each question is of equal mark value. • Start your solution to each question on a new page. • To ensure full marks
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| | Statistics for Public Administration: Practical Uses for Better Decision Making | | | Maureen BernerAs a public administrator‚ you need to be able to analyze and evaluate policies‚ and understand analysis and evaluations done by others. This means having a solid working knowledge of how to apply statistics to the types of data used in local government so that you make good decisions.Statistics for Public Administration: Practical Uses for Better Decision Making‚ a completely updated
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stats in their research. Official statistics are a source of secondary data. They are produced by the government. They are quantative data. There are two types of Official Statistics. Hard statistics which are objective and can’t be manipulated; statistics on births and marriages are hard statistics. Soft statistics which are more subjective are easy to manipulate; statistics on crime‚ poverty and unemployment are soft statistics. Positivists favour Official Statistics as they take a scientific approach
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analysis and what the trend was over the first two months. DESCRIPTIVE ANALYSIS FOR ALL YEARS: Over a 2.2 year span‚ the best customers‚ on average‚ have purchased in the last 14 days‚ 215 times‚ spent $8‚399.00‚ and saved $64.00 by using coupons. The worst customers‚ on average‚ have purchased in the last 112 days‚ 17 times‚ spent $397.00‚ and saved $1.412.00 by using coupons. YEAR_ALL RECENCY FREQUENCY The next page shows descriptive analysis for years 2016 – 2018 separately. The Frequency looks
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Chapter 12 Simple Linear Regression Case Problem 1: Measuring Stock Market Risk a. Selected descriptive statistics follow: Variable N Mean StDev Minimum Median Maximum Microsoft 36 0.00503 0.04537 -0.08201 0.00400 0.08883 Exxon Mobil 36 0.01664 0.05534 -0.11646 0.01279 0.23217 Caterpillar 36 0.03010 0.06860 -0.10060 0.04080 0.21850 Johnson & Johnson 36 0.00530 0.03487 -0.05917 -0.00148 0.10334
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Question 1 How can graphics and/or statistics be used to misrepresent data? Where have you seen this done? Answer: It is a well known fact that statistics can be misleading. They are often used to prove a point and an easily be twisted in favor of that point. Statistics‚ graphics and database are used in medical field to approve‚ prove or disapprove theories‚ analysis and interpretation of ailments‚ medications and its impact and treatment and its effectiveness. As noted by Nursing Research (2011)/
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