ECT 122 Week 5 iLab #3 1. Determine the load voltage by deriving an equivalent circuit for the circuit below. Reduce the R1‚ R2‚ and R3 combination to a single equivalent resistance. Also‚ reduce R4 and RL1 to a single resistance. RA-B:_408Ω____ RC:__99Ω____ VL1:_1.952V______ Ra= R1+R2= 470Ω+220Ω= 690Ω Rab= Ra//R3= 690Ω(1kΩ)/690Ω+1kΩ= 690000/1690= 408Ω Rc= R4//RL1= 220Ω(180Ω)/220Ω+180Ω= 39600/400= 99Ω Rt= Rab//Rc= 408Ω(99Ω)/408Ω+99Ω=
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shorter than TT Air‚ it does not significantly affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚ if the sample size is greater than or equal to 30 samples‚ the sample statistics reflect the time population parameters. • The Median data does not show much in this case as the range (4.7 AA Fly and 6.8 TT Air) is small for both AA Fly and TT Air. This means that the mean is more applicable to be used. • The Mode of AA
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Kamlesh‚ Mathur‚ Daniel Solow. Management Science - The Art of Decision Making. Prentice Hall‚ 1994. 4 Jon Curwin and Roger Slater. Quantitative Methods for Business Decisions. Thomson‚ fifth edition‚ 2002. 5 Steyn‚ Smit‚ Du Toit‚ Strasheim. Modern Statistics in Practice. Van Schaik Publishers‚ 1994. 295
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Trajico‚ Maria Liticia D. BSEd III-A2 REFLECTION The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers‚ for example information about the number of times something happens. As I examined on what
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You can gather your data at work‚ on the phone‚ or via some other method. This is your “Sampling Design.” Which of the four sampling techniques best describes your design? 5. Explain in moderate detail the method you used to gather your data. In statistics this venture is called the “Methodology.” 6. Make sure you break your sample into classes or groups‚ such as males/females‚ or ages‚ or time of day‚ etc. 7. Calculate the mean‚ median‚ and mode for your data as a whole. 8. Now calculate the
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12/14/2012 Week 7 iLab: Prenatal Lifecycle Choose lifecycle: Prenatal 1.) Describe the lifecycle and the age to be in that lifecycle: I have chosen prenatal as the lifecycle of choice for this week’s iLab. The prenatal lifecycle begins during conception and lasts until the birth of the baby. 2.) Describe nutritional challenges associated with that particular lifecycle. During the gestation period it is difficult at times for the mother to provide the appropriate vitamins & nutrients for her
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Mathematics COURSE INFORMATION SHEET |Course Code |MTHS002 | |Course Title |Descriptive and Inferential Statistics | |Prerequisite |MTHS001 (College Algebra) | |Credit/No. of Units |3 units
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Lab 1: Installing MySQL Community Server and MySQL Workbench (40 Points) iLAB OVERVIEW Week 1 iLab introduces the MySQL database download options and installation steps. Scenario and Summary Part 1: Installing MySQL Installer and MySQL Workbench 1. Choose which distribution to install. Several versions of MySQL are available‚ and most are available in several distribution formats. We choose a production (stable) release: MySQL 5.6: Latest General Availability (Production) release 2. How to
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P1-2010-2011-Spring Bus531 Standard Normaal Probability Problems 1- A university reported admission statistics for 3339 students who were admitted for freshmen for the fall semester of 1998. Of these students‚ 1590 had taken the Scholastic Aptitude Test (SAT). Assume the SAT verbal scores were normally distributed with a mean of 530 and a standard deviation of 70. a – What percentage of students were admitted with SAT verbal scores between 500 and 600? b - What percentage of students were
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| Statistics 101 Report | The Kentucky Milk Case Study | | | | Preliminary Analysis 2a) Figure 1: X as a Data Object X is a data frame as derived from the program R shown above in Figure 1. There are 274 observations of 11 variables. The number of observations is obtained from the number of rows while the number of variables is obtained from the number of columns. 2b) Figure 2: Creating a sub-data frame from X Figure 3:Sub-data frame from X Figure 2 shows a screenshot
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