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Published byIsabella Warren Modified over 9 years ago
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Statistics We have a capacity that is nearly infinite for reading evidence in the light of our own interests and passions
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Outline Dos and Don’ts of Statistics Variables Independent Dependent Types of statistics Descriptive Relational Inferential
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The Dos and Don’ts of Statistics Statistics DO: provide unbiased quantitative methods for characterizing and drawing conclusions from experimental data Statistics do NOT: aid determination of which research questions are important to ask allow manipulation of data to get the answer you want help you judge the importance of statistically significant findings
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Variables A variable is a biological trait which can take on different values for different members of the group under study Thus, a variable is not a constant, it is a trait which varies among the experimental subjects Examples include protein amounts, migration distance on a gel, the amount of chlorophyll in a leaf, etc.
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Variables Variables are either independent or dependent Independent variables Cause something to happen Actively manipulated by the researcher, Observed in situ by the researcher Dependent variables Caused by the independent variable Experimental outcomes which are measured during a study
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Descriptive Statistics Summarize a group of numerical data Mean Variance Standard deviation Standard error of the mean Range
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Relational Statistics Determine if two or more sets of data show any type of connection or dependency on each other Correlation Regression
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Inferential Statistics Compare two or more groups of numerical data to determine if they are similar or different Compare the treatment and control groups
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Activity Pair up Answer the questions on the next page You have 10 minutes to do this I will select some of you to share
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1. What are the independent variables? 2. What are the dependent variables? 3. What type of statistics are presented? 4. What are the results? 5. What can you conclude from the results?
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