Presentation on theme: "The Star of the Science Project"— Presentation transcript:
1 The Star of the Science Project DATAThe Star of the Science Project
2 Types of Scientific Inquiry DemonstrationsSimple InquiryComparative StudiesDescriptive StudiesControlled ExperimentsModels
3 The HypothesisIf you write the hypothesis correctly, then knowing what tomeasure will be easy!Basic format- If _______, then ______ will ________The third blank should use terms like increase, decrease or staythe same.EXAMPLE HYPOTHESESIf I add fertilizer to the soil, then the tomato plants will growtall.If I add salt to water, then it will take longer to freeze.If I use reclaimed water, then the grass will be healthier.
4 Variables Manipulated Variable Also known as independent variable It is the IF part of the hypothesisPlotted on the X- axisResponding VariableAlso known as the dependent variableIt is the THEN part of the hypothesisPlotted on the Y-axis
5 Types of Data Quantitative Data Measurements Units should be from the Metric SystemPlotted on a line graphQualitative DataObservationsUse a RubricMay require an “operational definition”Plotted on a bar graph
6 The More; The Better Data that is A valid experiment is one in which the data collected is either from a large sample size or has many repeated trials. The experimental design usually determines which is more feasible to accomplish in the time span of a school science project.Collect both quantitative data and qualitative data during an experiment- data not collected- is data lost forever. All original data is collected in the log book.
7 Quantitative Data-Hypothesis #1 If I add fertilizer to the soil, then the tomato plants will grow tall.Manipulated Variable- fertilizerResponding Variable- height of the tomato plantsTool used- meter stick; units MetersSAMPLE SIZE should be considered in this situation.A controlled experiment would have the amount of fertilizer used in each group varied with the control group receiving no fertilizer.
8 Quantitative and Qualitative Hypothesis #2 If I add salt to water, then it will take longer to freeze.Manipulated Variable- saltResponding Variable- length of timeNo salt used in the control groupTool used- timer; units Minutes/SecondsProblem encountered- What constitutes ‘Freeze’?Solved by developing what is called an OPERATIONAL DEFINTION. Example- Frozen is when the toothpick in the water can no longer be moved.Number of trials might be more appropriate in this experiment.
9 Qualitative -Hypothesis #3 If I use reclaimed water, then the grass will be healthier.Manipulated Variable- reclaimed waterResponding Variable- the health of the grassProblem encountered- what constitutes healthy grass?Begin with an operational definition:Healthy grass is deep green and thick.However- what if what I think is deep green is not what others think.Solution is to use a rubric such as a Likert scale.On a scale of 1-5 rate the greeness of the grass;On a scale of 1-5 rate the thickness of the grass.If descriptive study format is used then the reclaimed water might be compared to tap water. A large sample size for both groups would make the experiment more valid. Using many people to rate the samples would make the results more reliable.
10 Format on Exhibit Data tables should always be included with a graph When plotting more than one trial on a line graph be sure to include a keyBe sure to label both axes and give the graph a titleUnits should be included in labels
11 Analyze Data Graphs show the relationship between the variables. Relationships can be direct as in “as one increases the other increases” or as “one decreases the other decreases”Relationships can be indirect as in “as one increases the other decreases”Some graphs may show no relationship between the variablesConsider mean, median or mode as ways to make the data more manageable- best fit lines might be more appropriate than connect the dot lines
12 CONCLUSIONRefer back to the hypothesis to determine if the data supported the hypothesis, or not.Don’t “prove” anything and also don’t throw out an experiment just because ‘nothing’ happened- the fact that nothing happened is data.Discuss the data in the conclusion and include an inference that explains why such an outcome occurred.