The Penny Problem
The Penny Problem 18519
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This 2 page Study Guide was uploaded by Shanell Coleman on Saturday October 8, 2016. The Study Guide belongs to 18519 at Augusta State University taught by Thomas Buxton in Fall 2016. Since its upload, it has received 14 views. For similar materials see Biology 1101 in Science at Augusta State University.
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Date Created: 10/08/16
Lab #1 The Penny Problem: Review The Scientific Method Scientists use the scientific method to answer questions and provide explanations about natural phenomena. It is a logical process based on careful observation and experimentation. 1. Observation: leads to a question and discussion about the observed phenomena. 2. Hypothesis: based on the observation scientists generate a hypothesis or tentative explanation for the observed phenomena. Hypothesis are written as two statements; one called the null hypothesis, and the other called alternate hypotheses. - The Null Hypothesis – is written in a way that shows no difference between the groups under study. Ex: There is statistically significant relationship between the color of pennies and their weight. - The Alternate Hypothesis – is written in a way that shows how a “successful” difference will be found. Ex: There is a statistically significant relationship between the color of the pennies and their weight. - A good hypothesis is testable and offers only one explanation. In addition, predictions are used for the creation of carefully designed experiments. 3. Experiments – should only test one factor (variable) at a time with all other conditions being kept constant. 4 Results – Data collected from the experiments are analyzed using statistics, are evaluated in respect to the original hypothesis statement. It is important to note that there are two types of data: Continuous: All possible and available numeric outcomes. Measurements of weights, with accurate electronic balances it is possible to measure 1.0, 1.01, and 1.001 grams. Group sample means (averages) are then determined. Scalar: “either / or”, “heads or tails”, “male or female”, etc. - Group sample medians are then determined. From the statistical analysis, conclusions are drawn. 5. Conclusion – If the experiments has been designed properly, the data should support or reject the hypotheses. Note: If you can neither support nor reject the hypothesis statement, then the experiment has been poorly designed. If the experiments analysis leads to a rejection of the alternate hypothesis (null hypothesis accepted), then a new or revised hypothesis statement is constructed and the process starts over. If the hypothesis is supported (alternate hypothesis accepted), further experimentation is still warranted because repetition will always strengthen the evidence for acceptance of the alternate hypothesis. 6. A Frequency Histogram - Plots mass in tenths (or one onehundredth) of a gram on the “X” (horizontal) axis (this is the independent variable) - “Y” axis is used to record each individual outcome having a particular mass value (this is the dependent variable) Samples – groups taken out of a population What is the difference between a sample and a population? - Sample: specific group - Population: includes all groups
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