AP Bio planning on conducting scientific investigations

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44 Terms

1
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List the steps of the scientific method

  • question collect

  • Hypothesis

  • Experiment

  • Data

  • Analyze

  • Conclusion

2
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Contrast the independent variable in a controlled experiment

Something, being manipulated

3
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Contrast the dependent variable in a controlled experiment

Something being measured

4
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When do you use a bar graph?

When the data is discreet (comparing groups)

5
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When do you use a line graph?

When the data is continuous (change over time)

6
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What are standard deviation calculations use for?

  • if data is spread out

  • To see what data is better

7
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What are Standard error calculations used for?

To show how accurate your data is

8
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What are chi-squared calculations used for?

To determine how close observed data is to expected results

9
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When do you accept the null hypothesis in the chi square test?

If the Chi square is lower than the critical value you accept

10
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When do you reject a null hypothesis?

If the Chi square is higher than the critical value you reject

11
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How do you start a null hypothesis?

“ there is no significant difference between…”

12
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What are two good scientific questions?

  • includes measurable values

  • Identifies the independent and dependent variable

13
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In reality is the scientific process, linear or nonlinear

Nonlinear

14
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While interpreting data you should?

  • support a hypothesis

  • Oppose a hypothesis

15
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A good hypothesis includes what?

  • A statement, not a question

  • Testable

  • Falsifiable

  • Defines measurable variables

  • Is written in the form of “if…then”

16
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Characteristics of a true experiment include?

  • Random assignment to groups

  • Control of extraneous variables

  • Manipulation of the independent variable

  • Qualitative measurement of outcomes

  • Comparison of participate groups

  • Contains a control group

17
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What are confounding variables?

Other variables that must be identified and controlled

18
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What is quantitative data?

Numerical results

19
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What is qualitative data?

Non-numerical results

20
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Test groups should be a large size or…

The experiment should be performed several times

21
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After the experiment, the results are analyzed, and a conclusion is made by?

the hypothesis is either being accepted or rejected based on the evidence

22
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The independent variable goes on what axis

X-axis

23
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The dependent variable goes on what axis y-axis

24
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Is qualitative or quantitative data graphable?

Quantitative

25
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How do you label a “good title”

By telling exactly what information the author is trying to present with the graph. (X vs Y)

26
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Basic traits of a good graph include

  • axes should be consistently numbered

  • Axes should contain labels including units

  • The independent variable is always shown on the X axis

  • The dependent variable is always shown on the Y axis

  • The line should not be extended to the origin if the data does not start there

27
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If a line on a graph goes from solid to “broken” (dashed) this indicates what?

Shows it is a prediction

28
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The slope of a line indicates what?

The rate at which the variables being graphed are changing

29
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Capital (N) indicates what?

Population

30
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Lowercase (n)indicates what?

Sample

31
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Intervals labeled on each axes should be appropriate for?

The range of data so that most of the area of the graph can be used

32
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The graph should have an appropriate (blank) if more than one data set is being represented

Legend

33
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One standard deviation is what percent?

68.2%

34
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Two standard deviations is what percent

95%

35
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Three standard deviations is what percent

99%

36
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What does this symbol (x̄) represent?

The mean

37
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Mean definition

The average of given numbers calculated by dividing the sum of given numbers by the total number of numbers

38
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Median definition

The middle number in an assorted, ascending or descending list of numbers (going from lowest to highest)

39
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Mode definition

The value that appears most frequently in the data set

40
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Standard error shows?

How good your data is

41
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When error bars overlap what does that mean?

You shouldn’t trust the data (it’s not significantly significant)

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When error bars do not overlap. What does that mean?

There is a statistical difference you can trust the data

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How do you find the degree of freedom?

You take the number of outcomes -1

44
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What value do you always use class?

Critical value