1. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is male? Answer: .667 2. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff? Answer:
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CURTIN UNIVERSITY Department of Mathematics and Statistics Mathematics 103 MID-SEMESTER TEST Semester 1‚ 2013 INSTRUCTIONS: Answer all questions in the spaces provided. To obtain full marks for a question you must clearly show appropriate working. TIME ALLOWED: TOTAL MARKS: AIDS ALLOWED: 50 minutes. 50 1. 2. Scientific or Graphics Calculator. A4 Sheet of handwritten notes (both sides). Last Name: _______________________________________________________________ Given Name: _________
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of miscalculations‚ randomized sampling as well as certainty periods. Such thoughts like these are statistical by nature without us even realizing it. To further explain statistics‚ it is a discipline that is made up regarding certain factors that involve things like deductive reasoning; granted‚ Science is practically statistics in and of itself through fabricating experimentations that require data collectivity‚ recapitulating information for the purpose of understanding something and pulling deductions
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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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Research types Experimental - uses independent (random‚ representative‚ etc.) vs. dependent (observed outcomes)‚ free of confounds. Make causal claims about why things happen‚ prevent bad stuff‚ promote good stuff. “experiments" Correlational - descriptive‚ observational. Does not make causal claims. “studies" Variable types (SS Stevens‚ 1946) Nominal - assign item to category; are discrete / categorical Ordinal - rank order items; are categorical‚ but often treated
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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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_________________________________________ How is Statistics Different from Mathematics? And Why Is the Distinction Important? By Isidoro P. David Acronyms: CHED-Commission on Higher Education; NHERA-National Higher Education Research Agenda; HEI-Higher Education Institution; PSA- Philippine Statistical Association; SRTC-Statistical Research and Training Center; UPD-SS- University of the Philippines School of Statistics; UPLB-IS- University of the Philippines at Los Banes Institute of Statistics; GAISE- Guidelines
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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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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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