3.7.2. Quantitative Data Analysis In this study‚ the quantitative data which was obtained through questionnaire which is used analyzed using descriptive statistics of central tendency measurements and percentages. The data was first coded‚ organized and discussed using mean‚ mode‚ frequency and median. The median will be used to show the central tendency for the ordinal scales and skewness to show the distribution of the population. In addition‚ percentages will be used for the nominal scale especially
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I grew up in one of the poorest cities in America‚ Fresno‚ California‚ and I loved it there. There is so much diversity‚ people who "have it all"; stable income‚ huge houses‚ healthy families‚ and people who have very little; crowded apartments‚ broken family structures‚ and barely enough money to pay the bills. It is a very racially and ethnically diverse city. About half of the population of Fresno is caucasian‚ and about forty percent is Hispanic or Latino. Asians and African-Americans make up
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KEY CONCEPTS PAGE Public health and aging 224 Demographics of an aging society 224 Theories of aging 225 Preventive gerontology 225 Health disparities in aging populations 226 Multiple jeopardy 226 Ethnicity as compensation 226 Impact of dementia 230 Organizing for an aging society 233 Compression of morbidity 236 Quality of life 236 Key concepts – Definitions Page Public health and aging: Public health can vastly
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READING QUESTIONS DAY ANSWERS 1. Which of the following reading components do you find the easiest and the most difficult? Vocabulary Sentence/Syntax Getting the main idea Comprehension Others:_______________ Easiest: _____________ Difficult: _______________ EASIEST COMPONENTS: Vocabulary - 3 Sentence/Syntax - 11 Getting the main idea - 16 Comprehension - 1 DIFFICULT COMPONENTS: Vocabulary - 5 Sentence/Syntax - 9 Getting the main idea - 5 Comprehension – 11 2. Why do you
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MEAN SCORE Descriptive Statistics N Mean Std.Deviation Discount 196 1.38 .672 Gift Coupon 196 1.47 .603 Free tour 196 1.91 .929 Cash back 196 1.44 .634 Price 196 1.54 .753 Quality 196 1.44 .592 Quantity 196 1.58 .715 Varity 196 1.68 .609 Brand 196 1.66 .641 Durability 196 1.94 .732 Availability 196 2.04 .902 Promotion Scheme 196 2.24 .944 Advertisement 196 2.10 .871 Promotional scheme of Berger paint is very attractive. 196 1.99 .791
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DEMOGRAPHICS OF GAME DEVELOPERS AND GAME PROGRAMMERS 1 INTRODUCTION Gaming has brought several transitions in our daily lives. It has move out as being “cool” and is normal today for almost everyone. Gaming no longer is in 2D space or 3D spaces but it is not is players space where most of the things in game are things happening in real life of players and interactions of players in reality. Gaming allows the users to engage in a reciprocating communication exchange with the machine
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Distinguish between primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by Identifying population of interest choosing sample analyse sample information draw inference from
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following for our analysis: 1. Chi-square – It is useful in analysing cross tabulations of the survey data. Since it can tell us whether there is a statistical difference between the segments in how they answered the question 2. Correlation – It can show whether and how strongly pairs of variables are related; mostly used with rating scales. 3. Cross Tabs – It compares specific demographics (such as gender‚ or height) to other specific information (such as the people’s favourite color). 4. Graphs
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5.3.3 Data cleaning Data cleaning helps to remove all unnecessary data. Data cleaning attempts to fill in missing values‚ smooth out noise while identifying outliers and correct inconsistencies in the data. Data cleaning is usually an iterative two-step process consisting of discrepancy detection and data transformation. 5.3.4 Data analysis Data analysis is also known as analysis of data or data analytics‚ is a process of inspecting‚ cleansing‚ transforming and modeling data with the goal of discovering
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double in size‚ the population has become qualitatively different from what it was in 1950. As noted by the Population Reference Bureau‚ “The U.S. is getting bigger‚ older‚ and more diverse.” The objective of this report is to highlight some of the demographic changes that have already occurred since 1950 and to illustrate how these and future trends will reshape the nation in the decades to come through 2050. The Census Bureau projects that the U.S. population will continue to grow‚ to almost 440 million
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