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Experimental Design

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Quiz on Experimental Design, created by Jo O'Bar on 24/08/2022.
Jo O'Bar
Quiz by Jo O'Bar, updated more than 1 year ago
Jo O'Bar
Created by Jo O'Bar over 2 years ago
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Resource summary

Question 1

Question
The statistical difference in data is directly correlated to its biological importance.
Answer
  • True
  • False

Question 2

Question
Statistical difference is relative to [blank_start]variation[blank_end] in the dataset, and tells you [blank_start]nothing[blank_end] about the actual biology. The biological importance of the dataset is the effect of the [blank_start]statistical difference[blank_end], and is the primary subject of the "[blank_start]discussion[blank_end]" portion of a paper.
Answer
  • variation
  • range
  • precision
  • accuracy
  • nothing
  • everything you need to know
  • statistical difference
  • observational difference
  • precision
  • discussion
  • conclusion
  • methods
  • introduction

Question 3

Question
If you perform a statistical test, and the p-test is less than 0.05, then you know that something is going on biologically.
Answer
  • True
  • False

Question 4

Question
Which of these would be examples of observational work?
Answer
  • tagging birds to study their flight patterns
  • studying how fish respond to being in tanks with different water temperatures
  • field sampling in urban bayous for water quality biweekly
  • leaving different fruits out for a chimpanzee group to see their preference

Question 5

Question
Which of these were discovered/developed by Laplace and Gauss? And when?
Answer
  • Normal Distribution
  • Central Limit Theorum (CLT)
  • 1700s
  • 1800s
  • 1900s
  • Correlation
  • ANOVA
  • t-test

Question 6

Question
Which of these were discovered/developed by Galton & Pearson? And when?
Answer
  • Correlation
  • x^2 frequency
  • 1800s
  • 1900s
  • 1700s
  • Exp. Design
  • Normal Distribution
  • x^2 theorem
  • Central Limit Theorem (CLT)
  • ANOVA

Question 7

Question
Which of these were discovered/developed by Gosset and Fisher? And when?
Answer
  • t-test
  • ANOVA
  • Exp. Design
  • Normal Distribution
  • Correlation
  • x^2 frequency
  • 1900s
  • 1800s
  • 1700s

Question 8

Question
Who developed the t-test? And what pseudonym did he go under?
Answer
  • William Sealy Gosset
  • "Student"
  • "Teacher"
  • "That One Guy"
  • Ronald A. Fisher
  • Karl Peterson

Question 9

Question
Number of people is an example of [blank_start]discrete[blank_end] data. Length of an elephant's trunk is an example of [blank_start]continuous[blank_end] data.
Answer
  • discrete
  • continuous
  • continuous
  • discrete

Question 10

Question
[blank_start]Accuracy[blank_end] is how close the data is to "the truth" (specifically the [blank_start]mean[blank_end]). [blank_start]Precision[blank_end] is how close multiple measurements are to each other.
Answer
  • Accuracy
  • Precision
  • Precision
  • Accuracy
  • mean
  • range
  • median

Question 11

Question
Measurement Error: variation due to [blank_start]people, instruments, conditions[blank_end] Natural Inherent Variation: variation due to [blank_start]genetics, environmental history[blank_end] Treatment effect: variation due to [blank_start]treatment in experiment[blank_end]
Answer
  • people, instruments, conditions
  • genetics, environmental history
  • treatment in experiment

Question 12

Question
How do you limit Measurement error?
Answer
  • practice
  • calibration
  • stable environment
  • narrow set of characteristics
  • acclimate

Question 13

Question
How do you limit Natural Inherent Variation?
Answer
  • narrow set of characteristics
  • acclimate
  • practice
  • callibration
  • stable environment

Question 14

Question
How do you deal with ME?
Answer
  • take multiple measurements
  • increase sample size

Question 15

Question
How do you deal with NIV?
Answer
  • increase sample size
  • take multiple measurements

Question 16

Question
Which types of tests require a normally distributed data set?
Answer
  • Parametric Tests
  • Non-paramentric tests

Question 17

Question
Coding a dataset changes the relationship between data poinnts.
Answer
  • True
  • False

Question 18

Question
One can often fix assumptions & issues in normality by coding and/or transforming data.
Answer
  • True
  • False

Question 19

Question
Which are examples of coding?
Answer
  • x+1
  • x-7
  • log(x)
  • ln(x)

Question 20

Question
Which of these are examples of transforming?
Answer
  • log(x)
  • ln(x)
  • x+3
  • x-7

Question 21

Question
Which are point estimates of the central tendency?
Answer
  • mean
  • median
  • mode

Question 22

Question
Which is the point estimate that best represents the central tendency in which statistical situation? skewed data: [blank_start]median[blank_end] somewhat symmetric data: [blank_start]mean[blank_end]
Answer
  • median
  • mode
  • mean

Question 23

Question
[blank_start]Standard Deviation[blank_end]: deviation in the sample that was measured [blank_start]Standard Error of the Mean[blank_end]: estimate in variation of mean values if you take multiple sets f samples
Answer
  • Standard Deviation
  • Standard Error of the Mean
  • Sum of Squares
  • Standard Error of the Mean
  • Standard Deviation
  • Mean of Squares

Question 24

Question
A random selection of individuals gives the best estimate of a population
Answer
  • True
  • False

Question 25

Question
Which of these is a balanced design?
Answer
  • When equal numbers of experimental units are assigned to each treatment
  • When equal numbers of measurement units are assigned to each treatment
  • When there is an equal number of experimental units on each side of the mean/median.
  • When there is an equal number of measurement units on each side of the mean/median.

Question 26

Question
TYPES OF RANDOMIZATION [blank_start]Random Selection with Replacement[blank_end] 1. Tag entire population 2. Random Draw 3. Replace individual in population 4. [blank_start]Probability of selection is constant[blank_end] [blank_start]Theoretically the best way.[blank_end] [blank_start]Random Selection without Replacement[blank_end] 1. Tag entire population 2. Random Draw 3. Measure Inividual 4. Do not place back into population 5. [blank_start]Probability of selection changes[blank_end] Can get around by using same measurement if drawn again [blank_start]Haphazard Selection[blank_end]: 1. Don't tag anything 2. No random draw 3. Measure Individual 4. Replacement is irrelevant 5. [blank_start]No probability of selection[blank_end] [blank_start]The worst kind of selection[blank_end], though it is still often used
Answer
  • Random Selection without Replacement
  • Random Selection with Replacement
  • Haphazard Selection
  • Random Selection with Replacement
  • Random Selection without Replacement
  • Haphazard Selection
  • Haphazard Selection
  • Random Selection with Replacement
  • Random Selection without Replacement
  • Probability of selection is constant
  • Probability of selection changes
  • No probability of selection
  • Probability of selection changes
  • Probability of selection is constant
  • No probability of selection
  • No probability of selection
  • Probability of selection is constant
  • Probability of selection changes
  • Theoretically the best way.
  • The worst kind of selection
  • The worst kind of selection
  • Theoretically the best way

Question 27

Question
As sample size (n) increases, the t-value [blank_start]decreases[blank_end], the standard error (SE) [blank_start]decreases[blank_end], and the confidence interval (CI) [blank_start]narrows[blank_end].
Answer
  • decreases
  • increases
  • decreases
  • increases
  • narrows
  • widens

Question 28

Question
[blank_start]Measurement Unit[blank_end]: the object that is measured [blank_start]Experimental Unit[blank_end]: the object that is manipulated
Answer
  • Measurement Unit
  • Experimental Unit
  • Experimental Unit
  • Measurement Unit
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