check the top two box data tap data analysis at right data analysis plus Statistical terms What is statistics? A way to get info from data. descriptive statistics: organize and summarize data inferential statistics: process of making a: prediction estimate decision About a population based on sample data Population: all items of interest Sample: a subset of a population Population: all items of interest Measures of reliability: built into statistical processes (p5) two kinds: confidence
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Question 1 a) EMPLOYMENT CATEGORY Frequency Percent Valid Percent Cumulative Percent Valid CLERICAL 227 47.9 47.9 47.9 OFFICE TRAINEE 136 28.7 28.7 76.6 SECURITY OFFICER 27 5.7 5.7 82.3 COLLEGE TRAINEE 41 8.6 8.6 90.9 EXEMPT EMPLOYEE 32 6.8 6.8 97.7 MBA TRAINEE 5 1.1 1.1 98.7 TECHNICAL 6 1.3 1.3 100.0 Total 474 100.0 100.0 In the left most column, all job category are listed. The Frequency column records the number of observations that fall within a particular
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The following table summarizes some of the most important descriptive statistics of the Price and Size variables. These values were obtained using MegaStat. Table 1. Relevant Descriptive Statistics as per MegaStat’s Output. Price count 105 mean 221.103 sample variance 2,218.919 sample standard deviation 47.105 minimum 125 maximum 345.3 range 220.3 skewness 0.474 kurtosis -0.277 coefficient of
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CHAPTER1&2 Cheat Sheet Range = Max –Min Mean =average Median=median Mode=mode Descriptive Statistics: Collecting, organizing, summarizing, and presenting data in a numerical or graphic form. (Average; high, low; % change; predict forecast) Inferential Statistics: process of making conclusions using data that are subject to random, variation, for ex; observational Stratified Random Sample: divide the population into segments, - “strats” Systematic Random Sampling: Starting at a
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Running Head: Fundamentals of Statistics Abstract This paper provides an analysis of a small sample on the recent company job satisfaction survey. The focus of the study includes one qualitative data set (company position) and one quantitative data set (intrinsic). To support the analysis the following are also included in this paper: reason why these particular data sets were selected, calculations used, reason why some statistical measures did not apply to certain data sets, and what was learned
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of Starbucks product. That is ‘why they tend to purchase it’. 40 persons were interviewed with a structured question. The information obtained are thus shown below. The representative values used here are the mean, median, mode and standard deviation. Table 1 showing the mean, median, mode, Standard Deviation for each questionnaire response |Table 1. Statistics
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LUCKNOW UNIVERSITY RESEARCH ON How effective the students are in handling their anger? Anger management SUBMITTED TO: DR. RITU NARANG SUBMITTED BY: ANURADHA ANAND M.B.A. (SECTION-A) SEMESTER -1 Roll no. = 07 INTRODUCTION The stress and conflict can cause any number of emotions, one common and uncomfortable one is Anger. On the one hand, anger has positive value. Generally we get angry with people who are important to us—people we value, or people on whom
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Statistical Testing There are many tests we can run on this sample of data to determine if it is viable. First we need to turn this data into numbers that we can use in our equations to calculate our values. So we need to convert the numbers into the mean, median, mode, range of values, x, x2 and the standard deviation of the data. Second, we will use the data to construct several graphs, such as a boxplot, histogram, stem and leaf plot and a scatter plot to determine if or how the data is skewed and if there
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Test 1 Chapters 1, 2, 3 Introduction to Statistics / Math 13 − 12777 −Summer 2008 (Prof. Latham) 1. For each of the variables described below, indicate whether the variable is a quantitative or a categorical (qualitative) variable. Also, indicate the level of measurement for the variable: nominal, ordinal, interval, or ratio. Make sure your responses are the most specific possible. Indicate your choice for each by circling the appropriate answer. Variable Type of variable Level of measurement
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Average. A sometimes vague term. It usually denotes the arithmetic mean, but it can also denote the median, the mode, the geometric mean, and weighted means, among other things. Chi-square Statistic. The chi-square statistic is used to measure the agreement between categorical data and a multinomial model that predicts the relative frequency of outcomes in each possible category. Suppose there are n independent trials, each of which can result in one of k possible outcomes. Suppose that in each trial
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