Unit 1

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Last updated 3:54 AM on 8/20/26
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389 Terms

1
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A step-by-step process used by scientists to investigate questions, gather evidence, and draw conclusions based on experiments and observations

Scientific method

2
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In the scientific method, we make an ______, ask a ______, propose a ______, design an ______, collect ______, and draw a ______

Observation, question, hypothesis, experiment, data, conclusion

3
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Predictions that can be tested by recording more observations and experiments:

Hypothesis

4
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What are hypotheses often heard as?

If …, then … (because..)

5
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Does hypothesis have to be in this format: if…then…(because…)?

No

6
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What is “if” in the hypothesis?

The manipulated variable

7
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What is “then” in the hypothesis?

The responding variable

8
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What is “because” in the hypothesis?

Optional explanation

9
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Can results support or refute the hypothesis?

Either support or refute

10
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Should you ever say “the hypothesis is correct”?

No

11
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What hypothesis do we always start with?

Null hypothesis

12
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What does null hypothesis provide?

Baseline that scientists can test against

13
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What does testing against a baseline help to do?

Determine if results are significant or due to chance

14
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A hypothesis in which the researcher attempts to disprove, reject, or nullify:

Null hypothesis

15
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By attempting to reject the null, what can researchers support?

Their experimental hypothesis

16
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By attempting to reject the null, what can researchers draw?

Meaningful conclusions

17
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The hypothesis that there is no difference between two groups of data, and the experimental observations are due to chance:

Null hypothesis

18
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The hypothesis that there is no significant difference between expected and observed data:

Null hypothesis

19
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After the null, list the:

Alternative hypotheses

20
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What to list when listing alternative hypotheses?

H1, H2, H3, etc.

21
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Example of H1 and H2 alternative hypotheses:

H1: Medicine provide relief

H2: Medicine worsen symptoms

22
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Types of experimental groups:

Control and experimental group

23
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At least how many trials are needed for each experimental group?

3

24
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What is the control group used for?

Comparison to experiemental group

25
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What does control group help to validate?

Statistical analysis

26
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What does control group increase?

Confidence in conclusions drawn from experimental results

27
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What does experimental group receive?

Experimental treatment

28
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In experiemental group, what is tested to observe impact on what?

IV on DV

29
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Types of control group:

Negative and positive

30
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Group not exposed to any treatment or to a treatment known to have no effect:

Negative control group

31
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Group not exposed to the IV but is exposed to a treatment known to have an expected effect:

Positive control group

32
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What does negative control group help to ensure when there should be no effect?

There is no effect

33
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What does the positive control group ensure the experimental setup can produce?

Known effect

34
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What does positive control group provide?

Reference point for what known effect looks like

35
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Example of negative control group:

Pair treatment known to have no effect on heart rate with caffeine to test if it has effect

36
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Example of positive control group:

Using established antibiotic known to work to compare with new antibiotic

37
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What are statistics used to do to quantitative data?

Collect, process, interpret

38
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How do statistics in biology help us understand important info?

By summarizing observations and making predictions based on summary

39
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What do statistics in biology help scientists to avoid doing?

Jumping to conclusions and making generalizations

40
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Methods used to summarize or describe observations/samples:

Descriptive statistics

41
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Types of descriptive statistics:

Methods of central tendency and methods of variability

42
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What do methods of central tendency involve?

Mean, mode, median

43
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What do methods of variability involve?

Range, standard deviation

44
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What do inferential statistics use observations to do?

Make estimates or predictions

45
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What do inferential statistics generalize from sample to?

Wider population

46
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Examples of inferential statistics:

Standard error of the mean, hypotheses tests

47
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Examples of hypotheses tests:

Chi square, ANOVA, t-test

48
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Are symmetrical distributions common?

Yes

49
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In symmetrical distributions, where are most observations?

Near center of range of values

50
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In symmetrical distributions, where are observations less likely located at?

Extremes

51
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What are symmetrical distributions called?

Normal distribution

52
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What shape is the curve representing normal distribution?

Bell shaped

53
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Are symmetrical distributions universal?

No

54
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What other distributions are there apart from symmetrical ones?

Skewed distributions

55
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Graph of normal distribution:


56
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The tendency of the observations to center around a particular value / category rather than spread evenly across the range / categories:

Central tendencies

57
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Measures of central tendency:

Mean, median, mode

58
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The average of the data set:

Mean

59
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How to find mean?

Sum all data points and divide by number of data points

60
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The middle number in a range of data points:

Median

61
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How to find median?

Arrange data points in numerical order, middle number is median

62
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How to find median if there is an even number of data points?

Average two middle numbers

63
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What measurements is the median useful for?

Measurements with extreme values or abnormal distribution

64
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Why is the median useful for measurements with extreme values or abnormal distribution?

It is not distorted by extreme large or small measurements

65
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The value that appears most often in a data set:

Mode

66
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What is the mode only useful for?

Describing distribution of data where mean and median not appropriate

67
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Examples of data where mean and median are not appropriate:

Bimodal distribution, categorical data

68
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The measure of how spread out or dispersed the values in a set of data are?

Variability

69
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What is variability measured by?

Range and standard deviation

70
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The difference between the largest and smalest values:

Range

71
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Does large range have great or small variability?

Great

72
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Does small range have great or small variability?

Small

73
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How many values does range take into account?

2

74
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How many values does standard deviation take into account?

All

75
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A measure of how spread out the data is from the mean:

Standard deviation

76
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Is data closer or farther from the mean for low standard deviation?

Closer

77
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For low standard deviation, what is likely causing changes?

Independent variable

78
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For high standard deviation, is data closer or farther from the mean?

Farther

79
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For high standard deviation, what is likely causing changes?

Factors other than independent variable

80
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The normal distribution is characterized by the relationship between what and what?

Mean and standard deviation

81
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What can we state about the proportions of population for normal distribution?

What proportions lie between any two values of the variable

82
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What is the standard deviation used as?

Unit of measurement

83
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Average amount by which values deviate from mean:

Standard deviation

84
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What does standard deviation divide a bell-shaped distribution into?

Parts of standard size

85
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What does each part of bell-shaped distribution contain?

Known percentage of total observations

86
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About ______% of observations lie within 1 standard deviation either side of mean for normal distribution

68

87
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What are the observations lying within 1 standard deviation on either side of mean for normal distribution represented as?

± 1s

88
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About ______% of observations lie within 2 standard deviations either side of mean for normal distribution

95

89
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What are the observations lying within 2 standard deviations on either side of mean for normal distribution represented as?

± 2s

90
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About ______% of observations lie within 3 standard deviations either side of mean for normal distribution

99

91
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What are the observations lying within 3 standard deviations on either side of mean for normal distribution represented as?

± 3 s

92
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What do each of the terms mean in the standard deviation formula?

∑=sum of, x=data point, x̄=mean, (n-1)=degrees of freedom, n=number of values

93
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What is the standard error of the mean used to determine?

Precision of and confidence in mean value

94
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What does standard error of the mean measure how well the mean of the sample represents?

True mean of population

95
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What is standard error of the mean based on?

Standard deviation and number of data points

96
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What does low standard error increase confidence in?

Sample mean is close to population mean

97
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What is standard error often given as?

A range

98
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In normal distribution, what does ± 1 SE encompass?

68% of sample means

99
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In normal distribution, what does ± 2 SE encompass?

95% of sample means

100
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In normal distribution, what does ± 3 SE encompass?

99% of sample means