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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“Sexual Preferences of Students From Selected Colleges from the Pamantasan ng Lungsod ng Maynila” INTRODUCTION Background of the Study The American Psychological Association (APA) defines sexual orientation as an enduring emotional, romantic, sexual, or affectional attraction towards others. Sexual orientation exists along a continuum that ranges from exclusive heterosexuality to exclusive homosexuality and includes various forms of bisexuality. According to the Equality
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Which statistical tests will be used and why? Statistical tests are designed to test a research team's null hypothesis. The type of test chosen will test the probability that two or more estimated means from the study belong to the same distribution of means or if they belong to two or more different distribution of means. The means represent the averages that are derived from each study group ("Statistical Testing For Dummies", ). Before deciding on the correct test to use, the team must consider
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homozygous dominant, 3 heterozygous, and 32 homozygous recessive. Lab sections D, G, E1, and E2 all experienced problems during the lab causing the data to be skewed and no results were collected. Figure 3 shows the calculated allele frequencies, chi square analysis, and Hearty Weinberg done for the Alu data collected during lab. In order to calculate the observed frequency, the amount of a genotype (+/+, +/-, or -/-) is divided by the total amount of all genotypes collected in lab. The frequencies
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ACKNOWLEDGEMENT It is a real pleasure to thank the people who helped me and guided me through this study, first I would like to thank my supervisor Mr. K.D Moloi and the staff of department of statistics for your technical support. I would like to thank my mother for your firm and emotional support, my sister and brothers for encouraging me and being exemplary in everything you do. Lastly but not least I would like to thank my friends and class mates for putting up with me all through the year.
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descriptive-comparative research design, and made used of the availability sampling technique. Availability sampling is a method of choosing subjects who are available or easy to find. The Pearson Product Moment of Correlation Coefficient, t-test and chi-square were used as the statistical treatment of data. The survey was conducted to determine if there is a significant difference between the academic performances of the respondents. Regarding to the data collected, the
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A Study on Factor Affecting of English Achievement Among The Under Graduate College Student A DISSERTATION PAPER SUBMITTED TO THE DEPT. OF HOME SCIENCE(CALCUTTA UNIVERSITY) IN PERTIAL FULFILMENT OF THE REQUIREMENT FOR THE DEGREE OF MASTERS IN HOME SCIENCE BY Baisakhi Ghosh Roll No. 104/HMD/121020 Registration No. 024-1221-0030-09 Under the Guidance of Dr. Susmita Neogi Assistant Professor Department of Home Science Calcutta University 2014 ACKNOWLEDGEMENT I express my
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Opinion of consumers towards credit card usage A Study in Chandigarh 1. INTRODUCTION 1.1 History As far back as the late 1800s, consumers and merchants exchanged goods through the concept of credit, using credit coins and charge plates as currency. It wasn't until about half a century ago that plastic payments as we know them today became a way of life. 1.1a Early beginnings In the early 1900s (Ben Woolsey, 2011), oil companies and department stories issued their own proprietary
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Assignment 2 Part A QUESTION 1 Table 1: Descriptive Statistics of Age | | n | Minimum | Maximum | Mean | Std. Deviation | Age (years) | 250 | 20 | 59 | 39.16 | 10.438 | Based on Table 1, the respondents in the sample have mean age of 39.16 years with a standard deviation of 10.438 years. The 95% confidence interval on the mean age is calculated as below: Y±1.96σnN-nN-1 =39.16±1.9610.4382502000-2502000-1 =39.16±1.96 0.62 =39.16±1.22 =37.94 , 40.38 Conclusion: We are 95% confident
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3 components extracted. Interpret the factors extracted. Bartlett's Test of Sphericity shows the value of significance sig=.000 which reflects the strong correlation between household behavior and shopping behavior and rejects the null hypothesis. In the communalities table, the initial is by definition, always equals to
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