Data.

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Presentation transcript:

data

data Information we collect

data Examples: temperature, weight, height, speed

hypothesis

hypothesis Possible answer to a scientific question

hypothesis Examples: If I test band members and non band members, then the band members will be able to hold their breath longer because they practice holding notes.

Independent variable

Independent variable Variable that is purposely changed, “I” change it

Dependent variable

Dependent variable Factor that may change in response to the independent variable

conclusion

conclusion Summary of what we learned

graph

graph Picture of your data

X-axis

X-axis Horizontal axis

Y-axis

Y-axis Vertical axis

trend

trend Relationship between two variables

Linear trend

Iinear trend Data points form straight line

Nonlinear trend

Nonlinear trend Data points do not make straight line

origin

origin Point where x and y-axis

observe

observe Use senses to gather information

observation Quantitative: deals with numbers or amounts Example: height, weight, temperature Qualitative: descriptions can’t be expressed in numbers Example: color, taste, smell

predict

predict Statement about what will happen in the future

predict Examples: based on earthquake data for an area over the last 100 years, an earthquake is predicted in 5 years.

classify

classify Group things based on how they are alike

classify Examples: shoe store has running, baseball, basketball, casual shoes

infer

infer Explain or interpret your observation

infer Example: I observe Ever holding her leg up. This could mean that she hurt her leg.

Qualitative observation

Qualitative observation Deals with descriptions that are not numbers

Quantitative observation

Quantitative observation Deals with number or amounts