Statistical tests to analyze data

    • [DOC File]One Sample T-Test

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      Please note that SPSS only gives results with p-values based upon two-tailed statistical tests. All examples presented here are two-tailed tests. In order to verify the hand calculations for one-tailed tests …

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    • [DOCX File]www.coursesource.org

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      C) I have used at least two statistical tests to analyze data D) I can use multiple statistical tests to analyze data E) I am proficient in statistical methods for data analysis and I can help other students.

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    • [DOC File]Running head: MID-TERM EXAM

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      Randomization tests determine the probability that the effect observed between baseline and treatment conditions could have occurred simply by chance. Discuss issues in the uses of statistical tests on single-subject data, including randomization tests. 1.5 The use of statistical tests to analyze single-subject data …

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    • [DOC File]SAS Procedures for Common Statistical Analyses

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      SAS Procedures for Common Statistical Analyses. Contents: Introduction/Data Set Up. Describing Quantitative Variables. Describing Qualitative Variables. Two-Sample Tests (Independent Samples) Completely Randomized Design (1-Way ANOVA) Randomized Block Design. 2-Factor ANOVA . Chi-Square Tests…

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    • [DOC File]Data Analysis and Reporting

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      This type of analysis could be used to analyze attitudes toward the use of bicycle helmets (strongly agree, agree, neutral, disagree, and strongly disagree) between children in three different grade levels. Inferential data analyses use statistical tests …

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    • [DOCX File]Statistical Tests - Loudoun County Public Schools

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      A level of certainty accepted by most scientists is 95%. We will be using tests that allow us to say we are 95% confident in our results. STEP ONETypes of Data. 1. Qualitative - data using non-standard scales (descriptions of leaf quality). Qualitative data …

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    • [DOC File]PRR 475: SPSS FOR WINDOWS - BASICS, LAB Nov 17-24

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      For survey data, each case is a respondent or questionnaire and each variable is usually a numeric coding of the response to a single question on the survey instrument. Statistical packages prefer to analyze data …

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    • Issaquah Connect

      There are many ways to analyze data. Which statistical test to run depends on your experiment. There are 4 statistical tests that most of the IB ESS experiments fall under: ANOVA. Pearson’s Correlation. T-test. Chi square. These tests tell you if there is a significant difference between your sets of data.

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    • [DOC File]User Guide to Statistical Analyses

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      To help us locate differences between treatments, we use a stepwise discriminant analysis. We need to look at data from groups containing a sufficient number of clones for analysis. What the optimal number of clones would be for this analysis is unknown, but currently we analyze data …

      determining which statistical test to use


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