Unit 0-Statistics Flashcards

(37 cards)

1
Q

Hypothesis

A

Represents the proposed answer to the experimental question

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2
Q

Independent Variable

A

The variable ring manipulated to test the hypothesis

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3
Q

Dependent Variable

A

the variable being affected and changed

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4
Q

Control Group

A

The group that the experimental group is being compared to and is not exposed to the independent variable

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5
Q

Positive Control

A

A control that tests that the experiment is working and has a known result

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6
Q

Negative Control

A

A control that should not change and provides the baseline

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7
Q

Controlled Variables

A

Variables that ensure that any observed effects are due to the independent variable and not other variables

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8
Q

Reproducibility and Repeatability

A

More replicates, large sample size, confirmation of results via other researchers

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9
Q

Tips about writing an experiment

A

Be brief and only state the main parts

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10
Q

Graphing

A
  1. Choose the correct graph (bar = categorical and line = continuous numerical)
  2. Labeling the axes properly (x-axis = IV and y-axis = DV)
  3. Scaling Axis (equal tick marks, label each tick mark, leave room for adding error bars)
  4. Graph Precisely
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11
Q

Bar Graph

A

Shows visual summary of how a data set is spread across various categories
Not continuous numerical data

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12
Q

Scatter Plot

A

Allows you to establish relationships between two variables
Can draw trend line (line of best fit) to form a line graph

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13
Q

Line Graph

A

Used to represent changes over time
Want to see changes in slope
No line of best fit

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14
Q

Normal Curve

A

Describes most natural phenomena

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15
Q

Does science usually work with populations or samples?

A

Samples

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16
Q

Precision

A

Degree of closeness of the measurements with each other
AKA repeatability and reproducibility error

17
Q

Accuracy

A

Degree of closeness of the measurements to the target value
AKA bias error

18
Q

p=

A

probability value
Likelihood something occurs by chance

19
Q

Variability

A

More consistent data, the more confidence we have in it and a tool for predictions

20
Q

Standard Deviation measures…

21
Q

Standard Deviation

A

Absolute measure of dispersion of a series
Higher standard deviation = less confidence
square root of the sum of the squared values of the difference between the value and the mean divided by degrees of freedom

22
Q

Standard Eror

A

Tests reliability of data
Standard deviation in repeated samples from a population bc standard deviation only measures one dataset
Standard deviation divided by sqaure root of sample size
Small number = closer to true mean (more values)

23
Q

2SEM

A

Gives us 95% confidence

24
Q

If error bars overlap then…

A

There is not a statistically significant difference between the two
SD differs between each bar

25
Null Hypothesis
Originally stated Hypothesis that indicates that there is no relationship between the IV and DV Any observed difference is due to chance or normal patterns
26
Alternative Hypothesis
Indicates that there is a relationship between IV and DV and we reject the null hypothesis
27
Statistical Significance
When data sets meet statistical criteria to determine that the observed differences are unlikely due to chance alone
28
Degrees of freedom
Indicates how many independent peices went into a calculation n-1
29
Critical Value
a threshold that the calculated chi-square statistic must meet or exceed to be considered statistically significant
30
Chi Square Value X^2
Number calculated by formula to compare to the critical value observed values minus expected values, square each value, divide by expected values, and add the numbers If greater than critical value = significant difference If less than critical value = no significant difference
31
Theory
General explanation of the world that is supported by a great amount of evidence and observations
32
Ability of atoms to combine with others atoms depends largely on...
Valence electrons
33
Covalent Bond
A bond formed when two atoms share a pair of electrons
34
Electronegativity
Ability of an atom to attract electrons
35
Polar vs. Nonpolar
Polar = electrons are distributed unequally due to different electronegativities Nonpolar = electrons are equally distributed due to similar electronegativities
36
Ion
Electrically charged atom caused by an extra electron or a lost of an electron
37
Ionic Bond
A chemical bond is formed when two opposte charged ions associate withe ach other