7 3. | 4 7 9 4. | 1 2 4 4 7 8 5. | 3 3 3 6. | 1 4 7. | 2 a. What are the ages of the employees? b. What is the modal age? c. Using a first class of “20-29”‚ prepare a frequency distribution showing frequency‚ cumulative frequency and relative frequency. d. What is the class width? (4‚ 1‚ 6‚ 1 pts each) ------------------------------------------------------------------------------------------------------------------------------------------- Q2. The following
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In your own words‚ interpret the data and note the shape of the distribution of the data provided from the Case Study: Highest Paid Women (Chapter 2‚ p. 35). To help guide your interpretation‚ include the following: Frequency distribution table‚ Stem and leaf plot Histogram Sample mean and median Sample standard deviation. You must calculate results by hand (though you may use any technology of your choice to verify your answers). The data table lists the highest paid woman of this sample
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the population. Classes | Frequency | Relative | Frequencies | 110-119 | 2 | 4.5 | 2/40=.05=5% | 120-129 | 2 | 4.5 | 2/40=.05=5% | 130-139 | 5 | 12.5 | 5/40=.125=12.5% | 140-149 | 9 | 22.5 | 9/40=.225=22.5% | 150-159 | 13 | 32.5 | 13/40=.325=32.5% | 160-169 | 6 | 15 | 6/40=.15=15% | 170-179 | 2 | 5 | 2/40=.05=5% | 180-189 | 1 | 2.5 | 1/40=.025=2.5% | 8. (Page 67 #1) – A histogram presents the same information as the frequency distribution in one visual image and gives
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SQQS1033 DATA EXPLORATORY AND GENERALISATION GROUP PROJECT (15%) FIRST SEMESTER 2013/2014 INSTRUCTIONS Instruction: 1. The total mark for this group assignment is 460 and it contributes about 15% of total evaluation of this course. 2. You are limited to use EXCEL to complete the given tasks. 3. You are required to answer all questions and to compile all the answers in a well prepared report. 4. Your report must begin with Page Title (List of group’s member‚ lecturer etc.)‚ Answer for Questions
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Executive Summary. Channels of distribution are critical to the success of a manufacturer. A well designed channel creates time‚ place and ownership utility for the consumer and can augment the manufacturer’s product. Distribution channels may move product directly from the manufacturer to the consumer‚ or make use of intermediaries between the manufacturer and the consumer. This report consists of two parts: Part 1 explains some of the major concepts relating to distribution channels‚ and Part 2 relates
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MAT 308 Name:___________________________ Chp 1-2 Test 100 points In order to receive full credit‚ please show all work for every problem. You are welcome to use your calculator‚ book and notes‚ but please take this test on your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg
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Relative frequency of a category = Frequency of that category Sum of all frequencies Class width = Upper boundary– Lower boundary Class midpoint or mark = Lower limit+ Upper limit/2 Approximate class width=Largest value -mallest value / Number of classes Relative frequency of a class=Frequency of that class/Sum of all frequencies Cumulative relative frequency=Cumulative frequency of a class/Total observations in the data set Mean = Average ‚ Median ‚ Mode Range = Largest value–
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STA1101 Normal Distribution and Continuous random variables CONTINUOUS RANDOM VARIABLES A random variable whose values are not countable is called a _CONTINUOUS RANDOM VARIABLE._ THE NORMAL DISTRIBUTION The _NORMAL PROBABILITY DISTRIBUTION_ is given by a bell-shaped(symmetric) curve. THE STANDARD NORMAL DISTRIBUTION The normal distribution with and is called the _STANDARD NORMAL DISTRIBUTION._ Example 1: Find the area under the standard normal curve between z = 0 and z = 1.95 from z
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> data=read.table("d:/111113/1.txt"‚header=T) > model1=lm(S~u_direction+mx+my+mz‚data) > summary(model1) Call: lm(formula = S ~ u_direction + mx + my + mz‚ data = data) Residuals: Min 1Q Median 3Q Max -11.8430 -0.3962 0.3252 0.7887 18.3963 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.50372 0.12738 -3.955 7.93e-05 *** u_direction -0.40368 0.07996 -5.048 4.85e-07 *** mx -0.40573 0
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On Asymptotic Distribution Of Likelihood Ratio Test Statistic When Parameters Lie On The Boundary A Project Submitted To The Department Of Statistics University Of Kalyani‚ For Fulfillment Of M.SC 4th Semester Degree In Statistics. Submitted by Suvo Chatterjee Under the supervision of Dr. Sisir Kr. Samanta
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