Z3331801 Adaptive Memory The aim of this particular study was to research adaptive memory and attempt how best to explain how this “adaptive memory” works. In this experiment 252 first year students were the participants. According to which tutorial group they were in‚ the participants were given a scenario‚ with the scenarios being: * Ancestral Hunter * Modern Hunter * Future Hunter Both the Ancestral and Future hunter scenarios contained 80 participants while 92 were placed in the
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sales. The first variable‚ opening gross‚ can inform movie makers how anticipated and well-received a movie is and can be a good indication of how much money the movie will earn overall. After calculating several central tendency measures (mean‚ median‚ and mode)‚ one can create a histogram and see the opening weekend gross sales are heavily skewed to the right. The median opening gross sales of 0.40‚
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calculations below then enter the values into the table. Anthracene The average for the peak areas = (726795 + 739198 +710447)/3 = 725480 The standard deviation‚ s is the square root of the squares of the sum of differences between the mean and the other variables as shown below: 725480 – 726795 = -1315 725480 – 739198 = -13718 725480 – 710447 = 15033 The standard deviation = √(15033^2 +(– 13718^2 )+(–
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Quantitative Methods -1 Assignment No. 1 Title: Analysis of Number of Dacoity Cases Reported and Value of Property Taken Away by Place of Occurrence (City-wise) Report published by National Crime Records Bureau (NCRB) Submitted by: Mitesh Karwa [Section- D; Roll No: 1311238] By studying the 2011 and 2012 data from ‘Crime in India’ published by the NCRB‚ which has been the principal reference for crime statistics in India for almost 70 years [1] [2]‚ an effort has been made to analyse the number
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1. Assume 20% of all email is spam. A large Internet provider plans on conducting a survey of 900 emails to see what percentage are spam. a. What is the probability they will get a proportion greater than 0.1836? b. If they get a sample proportion over 24% they are going to shut down their email server. What is the probability this will happen? 2. A survey is done to estimate the proportion of U.S. adults who think that cell phone use while driving should be illegal. In the survey‚ 54%
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Financial Management Agenda 1. What is the WACC and why is it important to estimate a firm’s cost of capital? Do you agree with Joanna Cohen’s WACC calculation? Why or why not? 2. If you do not agree with Cohen’s analysis‚ calculate your own WACC for Nike and justify your assumptions. 3. Calculate the costs of equity using CAPM‚ the dividend discount model‚ and the earnings capitalization ratio. What are the advantages and disadvantages of each method? 4. What should Kimi Ford recommend regarding
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|3 | |Students | | | | | | | If the mean mark for all the students was 51.6‚ find the mean marks of students who failed Ques. 3 Define skewness. When does a distribution get positively and negatively skewed? Ques.4 A Wholesale distributor of a product finds that the annual demand for a product is normally distributed with the mean of 120 and the standard deviation of 16. If he orders only once a year‚ what quantity should be
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Introduction . My project will be about my grades in mathematics for the past twelve years of my school life and I choose some of my grades‚ however I choose not only the final grades but the monthly tests and the quizzes as well‚ although I had some bad grades‚ progressing was one of my achievements and the whole point or we can say my aims from this project was to show my progress and how I was apple to improve my mathematics skills during my school life trying to
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of the distribution. 9) 9) _______ A) uniform B) skewed to the left C) skewed to the right D) bell shaped Provide an appropriate response. 11) The heights of ten female students (in inches) in a college math class are listed below. Find the mean. A) 65.5 inches B) 71.1 inches C) 67.7 inches D) 70.0 inches 12) The commuting times (in minutes) of an employee for ten consecutive days are listed below. Find the median commute. A) 72 minutes B) 73 minutes C) 67 minutes D) 71 minutes
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back home each day. A- Create a 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 deviations indicates that approximately 95% of these average travel times will fall between which two values? For this particular data set‚ is this empirical rule at least approximately correct? 20- The file
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