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This document provides an introduction and overview of statistical analysis using PASW Statistics software (SPSS). It discusses the need for training in research design and statistics. It then covers the agenda which includes understanding quantitative research, the role of PASW, and a hands-on demonstration of the PASW interface, including how to input raw data, analyze the data, and view results.
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اىفناىنمفبانفيا
Statistical package for social science (SPSS) is a software package used for statistical analysis. It was created in 1968. SPSS is used for data collection, organization, and output, as well as performing statistical tests. When using SPSS, researchers must first create a code book to define their variables before entering data into SPSS. Data is entered into columns representing variables and rows representing individual cases. Researchers should review their data for issues like outliers, missing data, and normal distribution before conducting statistical analyses.
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At the end of this Lesson (Part 1) the students should be able to know the following
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Descriptive statistics
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Week 2 Project - STAT 3001Student Name Type your name here.docx
Week 2 Project - STAT 3001
Student Name: <Type your name here>
Date: <Enter the date on which you began working on this assignment.>
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· STATDISK User Manual (found in the classroom in DocSharing)
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Instructions
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1. Open the file Diamonds using menu option Datasets and then Elementary Stats, 9th Edition. This file contains some information about diamonds. What are the names of the variables in this file?
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Depth
Frequency
Relative Frequency
Cumulative Frequency
57-58.9
59-60.9
61-62.9
63-64.9
a. Using the frequency table above, how many of the diamonds have a depth of 60.9 or less? How do you know?
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c. What percent of the diamonds have a depth of 61 or more?
Part II. Comparing Datasets
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Answers
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This document provides a basic overview of using SPSS software to analyze survey data. It explains that SPSS has two main views - the Data View, where raw survey responses are entered, and the Variable View, where users define what the data values represent. It then demonstrates how to generate frequency tables, charts, and cross-tabulations in SPSS to analyze and visualize the survey data in different ways. The goal is to efficiently extract meaningful insights from the raw data through descriptive statistics.
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SPSS an intro...
This document provides an introduction to using SPSS (Statistical Package for the Social Sciences) for data analysis. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and sorting data. Several basic analysis techniques are introduced, such as frequencies, descriptives, and linear regression. Examples are provided for how to conduct these analyses and interpret the outputs.
SPSS: Quick Look
SPSS is a popular statistical software package that allows users to perform complex data analysis and manipulation with simple instructions. It contains four main windows - the data editor, output viewer, syntax editor, and script window. The data editor allows users to define, enter, edit and display data. The output viewer displays results of analyses. The syntax editor is used to write analysis instructions. The script window allows writing of full programs. SPSS imports data, allows sorting and transforming of variables, and can run various statistical analyses such as frequencies, descriptive statistics, and linear regression.
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Pas wv18 spssv18-slides
- 1. An introduction to Statistical Analysis – Using PASW Statistics v18 (SPSS) Your trainer is: Dr.
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