unit 0 Flashcards

experimental design (33 cards)

1
Q

controlled experiment

A

a scientific test done under controlled conditions: meaning that just one (or a few) factors are changed at a time, while all others are kept constant

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2
Q

what are the components in a controlled experiment?

A

independent variable
dependent variable
control group(s)
experimental group(s)
constants (also called “control variables” or “controls”)

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3
Q

before the experiment, what are the steps you need to take?

A
  1. make an observation
  2. make a scientific question
  3. create a hypothesis
  4. develop a controlled experiment alongside the hypothesis to test if it is correct or not
  5. do research in order to develop a good, educated hypothesis and to begin finding ideas for how to best test the hypothesis
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4
Q

what is a hypothesis?

A

a testable prediction that addresses the question (a “best guess”)

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5
Q

define “independent variable”

A

this is the variable (factor) that the experimenter controls and changes between the different groups being tested

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6
Q

define “dependent variable”

A

this is the variable that is predicted to change in response to the independent variable. it depends on the independent variable, not vice versa

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7
Q

define “constants/controls”

A

these are all the other variables that are kept identical between all the groups being tested

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8
Q

define “experimental group”

A

the groups that receive some version of the independent variable

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9
Q

define “control groups”

A

the group that does not receive the independent variable. this group provides a baseline that lets the experimenter see if the independent variable has an effect

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10
Q

define “negative control group”

A

DO NOT receive any additional treatment that is expected to have an effect. they are identical to the experimental groups, except they do not receive the independent variable

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11
Q

define “positive control group”

A

DO receive an additional treatment that is known to produce the effect expected in the experimental groups. they are identical to the experimental groups, except they: (1) do not receive the independent variable and (2) receive some other treatment/variable that is different than all the other groups

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12
Q

characteristics of a strong hypothesis?

A

should be TESTABLE, include the INDEPENDENT & DEPENDENT VARIABLES, and make a SPECIFIC PREDICTION about the outcome of an experiment
using an “if-then” statement helps to make sure a hypothesis meets these expectations, but it is not required

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13
Q

what are data tables?

A

constructed to record and organize important data collected during an experiment

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14
Q

what are graphs?

A

allows scientists to more easily identify patterns or trends between variables

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15
Q

types of graphs often used in AP bio?

A

bar graphs, histograms, box & whisker plots, scatter plots, line graphs, & pie charts

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16
Q

define “bar graphs”

A

; used when data can be divided into categorical groups (e.g. sex, grade level, # of siblings, favorite type of movie, groupings of time, etc)
; represents categories on one axis and a measured value on the other
; can be vertical or horizontal

17
Q

define “histograms”

A

; show the distribution, or frequency, of outcomes
; “count” the occurrence of outcomes that fall into divided ranges for a certain continuous variable being measured
; one axis contains the ranges, and the other represents the frequency or number of data points that fall into each range
)all bars touch

18
Q

define “continuous variables”

A

contain values that are not discrete or categorical, but exist along a spectrum
e.g. score on a test, temperature, time, height, age, etc.

19
Q

define “box and whisker plots”

A

; used to show the distribution of data points, but in a more summarized way
; display the “five-number summary” of the data set
; includes maximum value, minimum value, lower quartile, median, and upper quartile

20
Q

define “scatter plots”

A

; used to show the overall relationship between two variables, if one exists
; both axes plot a continuous variable being measured
; measurements of the independent variable are plotted on the x-axis, while measurements of the dependent variable are plotted on the y-axis

21
Q

define “line of best fit”

A

drawn through the average of the points in order to show a trend that might exist between the two variables

22
Q

define “line graphs”

A

; used to show the relationship between two continuous variables
; typically are used to track changes over time, x-axis usually represents time & y-axis usually represents another variable that is being measured over a certain course of time
; chosen over scatter graphs only when it becomes important to see the individual changes that take place from point to point, instead of an overall relationship

23
Q

define “pie charts”

A

used to compare categorical groups proportionally with one another

24
Q

define “standard error of the mean”

A

; common form of statistical analysis used in biology experiments. it is used to measure how much the data taken from a sample group deviates from the actual population

25
what does it mean when the SEM is high?
the data taken from the sample group does not very accurately represent the entire population, there was a lot of variation in the data collected from the sample group
26
what does it mean when the SEM is low?
the data taken from the sample group more accurately represents the entire population, there was little variation in the data collected from the sample group
27
statistical significance
averages of the two groups with plus or minus two SEM should NOT overlap
28
define "error bars"
created using plus or minus 2 SEM, which gives 95% certainty that the difference between two groups is real and not due to chance (if they do not overlap)
29
define "chi-squared test"
another common form of statistical analysis used in biology, also called a "goodness-of-fit" test, used to determine if the observed distribution of a given phenomenon is significantly different from an expected distribution
30
define "null hypothesis"
states that the data will be consistent with a specific, expected distribution (usually the distribution that results from random chance or some other predetermined expectation), and it typically specifies the proportion to be found in each category
31
define "alternative hypothesis"
predicts an outcome that does not match the expected distribution
32
if chi-squared value exceeds the critical value for a p-value of 0.05?
reject the null hypothesis
33
if the chi-squared value is less than the critical value for a p-value of 0.05?
accept the null hypothesis