Math 116 - Chapter 6 review Name___________________________________ Provide an appropriate response. 1) Two random variables are normally distributed with the same mean. One has a standard deviation of 10 while the other has a standard deviation of 15. How will the graphs of the two variables differ and how will they be alike? 2) Which is larger‚ the area under the standard normal curve between -1 and 1‚ or the area under the standard normal curve between 0 and 2? Explain your reasoning
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TUTORIAL 1 -95253936900 Each of the following processes involves sampling from a population. Define the population‚ and state whether it is tangible or conceptual. A shipment of bolts is received from a vendor. To check whether the shipment is acceptable with regard to shear strength‚ an engineer reaches into the container and selects 10 bolts‚ one by one to test. The resistance of a certain resistor is measured 5 times with the same ohmmeter 8 welds are made with the same process‚ and the
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records of the number of runs scored by their teams in 8 matches. The scores are shown in the following table. Team A Team B 150 166 220 142 77 170 30 93 298 111 118 130 160 148 57 86 (i) Find the mean and standard deviation of the scores for team A. [2] The mean and standard deviation for team B are 130.75 and 29.63 respectively. (ii) State with a reason which team has the more consistent scores. [2]
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What is central tendency? Explain three important measures of central tendency? • Measures of central tendency are scores that represent the center of the distribution. Three of the most common measures of central tendency are: – • Mean Median Mode – – The Mean The mean is the arithmetic average of the scores. – Mean is the average of the scores in a distribution _ X = _________ i N Σ Xi Mean Example Exam Scores 75 91 82 78 72 94 68 88
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histogram of the daily commute times. b. Find the most representative average daily commute time across this distribution. c. Find a useful measure of the variability of these average commute times around the mean. d. The empirical rule for standard deviation indicates that approximately 95% of these average travel times will fall between which two values? For this particular data set‚ is
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Why do forecasts fail? How do you recommend improving the results? What tools would you use? These are very important questions that you should ask yourself when making‚ monitoring‚ and updating a forecast. The answers to these questions will help you make a more accurate forecast or help you update or fix a forecast that may already be in place. Forecasts in their own nature are expected to have some type of error but with the correct techniques it can be measured and monitored. Some factors
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Basic Concepts of Error Analysis 1. Significant Figures: The laboratory usually involves measurements of several physical quantities such as length‚ mass‚ time‚ voltage and current. The values of these quantities should be presented in terms of Significant Figures as follows. For example‚ the location of the arrow is to be determined in Fig. 1. It is obvious that the location is between 1 cm and 2 cm. The correct way to express this location is to make one more estimate based on your intuition
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$2‚060‚ $1‚840‚ $1‚795‚ $1‚890‚ $1‚925‚ and $1‚810. What are these ungrouped numbers called? A. Histogram B. Class limits C. Class frequencies D. Raw data 10) The sum of the deviations of each data value from this measure of central location will always be 0 A. Mode B. Mean C. Median D. Standard deviation 11) For any data set‚ which measures of central location have only one value? A. Mode and
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Statistical Report The Relationships between Location‚ Income‚ and Credit Balance for the customers of AJ Davis Department Store Math 533 Course Project Part A AJ DAVIS DEPARTMENT STORES AJ Davis Department Store Customer Research A. Brief Introduction The department store AJ Davis would like to find out more information about their customers. A sample of 50 credit customers is selected with data collected on the following five variables: 1. LOCATION (Rural‚ Urban‚ Suburban)
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Statistical Analysis for Quick Stab Collection Agency Executive Summary The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account‚ the amount of the bill and the days to collection exists. To determine the existence of a correlation‚ regression analysis of several variables was completed. This
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