level of measurements? Age‚ Income‚ Length of labor‚ Return to work and number of hours working per week. 2. What statistics were used to describe the length of labor in this study? Mean and standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can be calculated on an interval level of measurement. 3. What other statistics could have been used to describe the length of labor? Provide a rationale for your answer? Range could also be
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parameter values involved in a t-test. The t-test is more sensitive to minor differences between sample and population. With the t-test one can be confident of the normality of the data. The t-test requires no <known> parameter standard error of the mean. Points Received: 0 of 1 Comments: Question 2. Question : If a certifying agency raises the requirements for real estate agents‚ what sort of decision error is the agency protecting against? Student Answer: Type
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Statistics Course Project Part 1 Student: Zissis Koukoutaris Course : Statistics Professor: Dimitrios Fotiadis Semester: Fall-2012 Introduction This report is written by Koukoutaris Zissis a student from Northeastern University. Mr Fotiadis my professor of the MGSC 23021 assigned me the task. 1. Use methods of descriptive statistics to summarize the data. Comment on the findings 2. Develop estimated regression equations‚ first using annual income as the independent variable
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intelligence test is 100‚ and the standard deviation is 16. The mean for the creativity test is 115‚ and the standard deviation is 14. What statistic would you use to compare the two scores from these two different distributions (the intelligence test distribution and the creativity test distribution)? Compute this statistic and determine on which test‚ if either‚ the student performed better. Explain your answer. (10 pts) Intelligence test score = 123‚ mean = 100‚ standard diviation = 16 Creativity
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http://www.mathsisfun.com/data/standard-normal-distribution-table.html (Z table) http://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf (t table) Critical Values (Z) Level of Significance 1% 2% 4% 5% 10% Two Tailed ±2.56 ±2.32 ±2.05 ±1.96 ±1.64 Right tailed +2.32 +2.05 +1.75 +1.64 +1.28 Left tailed -2.32 -2.05 -1.75 -1.64 -1.28 Q1) A cinema hall has cold drinks fountain supplying Orange and Ditzy Colas. When the machine is turned on‚ it fills a 550ml cup with 500ml of the
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the furniture company had committed some type of fraud. Assignment Our assignment for this project is to determine if there was fraudulent activity on the part of the furniture company. To determine fraud‚ we had to find the probability that a standard normal random variable exceeded the GPF samples given to us. So we used the
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the 52nd percentile is .05 A normally distributed variable has a mean of 10 and a standard deviation of 2. The probability that a value between 7 and 9 is obtained is .2417 An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use before they failed is 19.0 hours. The distribution of the lives approximated a normal distribution. The standard deviation was 1.2 hours. About 95.44% of the batteries failed between what two values? 16.6
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nominal variables will be explored and discussed in regards to a possible fractional value. In order to understand how to interpret the quantitative data collected‚ statistical methods are introduced in this lab. The use of methods such as mean‚ standard deviation‚ and range are used to interpret results of what may be closely related to the “true” value of a measurement. The mean is the average of a set of
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PYC3704-- 2011 PYC3704 (2011) Psychological Research Study Notes IMPORTANT: Read through your UNISA study guide first! Get an overview of the module and then study each Topic individually Use this guide in conjunction with the UNISA guide- it is NOT a substitute If you have previous question papers- PLEASE DON‟T RELY ON THESE‚ you need to UNDERSTAND the content of this module if you want to pass and carry on to complete your Honours! 1 PYC3704-- 2011 Table of Contents
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Central Tendency and Measures of Variation Task 1: 1.1 a.) Define Population: Population is a complete group or collection of items or people selected to be used for a statistical study b.) Define Sample: Sample is a partial selection or part of the population for which the study uses for information gathering. 1.7 The Neilson study is an inferential study; the results contained on the study are not focused and generalized. The population is not defined and therefore inferences are needed
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