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Data.

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Presentation on theme: "Data."— Presentation transcript:

1 data

2 data Information we collect

3 data Examples: temperature, weight, height, speed

4 hypothesis

5 hypothesis Possible answer to a scientific question

6 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.

7 Independent variable

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

9 Dependent variable

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

11 conclusion

12 conclusion Summary of what we learned

13 graph

14 graph Picture of your data

15 X-axis

16 X-axis Horizontal axis

17 Y-axis

18 Y-axis Vertical axis

19 trend

20 trend Relationship between two variables

21 Linear trend

22 Iinear trend Data points form straight line

23 Nonlinear trend

24 Nonlinear trend Data points do not make straight line

25 origin

26 origin Point where x and y-axis

27 observe

28 observe Use senses to gather information

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

30 predict

31 predict Statement about what will happen in the future

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

33 classify

34 classify Group things based on how they are alike

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

36 infer

37 infer Explain or interpret your observation

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

39 Qualitative observation

40 Qualitative observation
Deals with descriptions that are not numbers

41 Quantitative observation

42 Quantitative observation
Deals with number or amounts


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