Test
Experimental Design
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Preguntas del test (28)
1The statistical difference in data is directly correlated to its biological importance.
- AVerdadero
- BFalso
2Statistical 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.
- Avariation
- Brange
- Cprecision
- Daccuracy
- Enothing
- Feverything you need to know
- Gstatistical difference
- Hobservational difference
- Iprecision
- Jdiscussion
- Kconclusion
- Lmethods
- Mintroduction
3If you perform a statistical test, and the p-test is less than 0.05, then you know that something is going on biologically.
- AVerdadero
- BFalso
4Which of these would be examples of observational work?
- Atagging birds to study their flight patterns
- Bstudying how fish respond to being in tanks with different water temperatures
- Cfield sampling in urban bayous for water quality biweekly
- Dleaving different fruits out for a chimpanzee group to see their preference
5Which of these were discovered/developed by Laplace and Gauss? And when?
- ANormal Distribution
- BCentral Limit Theorum (CLT)
- C1700s
- D1800s
- E1900s
- FCorrelation
- GANOVA
- Ht-test
6Which of these were discovered/developed by Galton & Pearson? And when?
- ACorrelation
- Bx^2 frequency
- C1800s
- D1900s
- E1700s
- FExp. Design
- GNormal Distribution
- Hx^2 theorem
- ICentral Limit Theorem (CLT)
- JANOVA
7Which of these were discovered/developed by Gosset and Fisher? And when?
- At-test
- BANOVA
- CExp. Design
- DNormal Distribution
- ECorrelation
- Fx^2 frequency
- G1900s
- H1800s
- I1700s
8Who developed the t-test? And what pseudonym did he go under?
- AWilliam Sealy Gosset
- B"Student"
- C"Teacher"
- D"That One Guy"
- ERonald A. Fisher
- FKarl Peterson
9Number 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.- Adiscrete
- Bcontinuous
- Ccontinuous
- Ddiscrete
10[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.- AAccuracy
- BPrecision
- CPrecision
- DAccuracy
- Emean
- Frange
- Gmedian
11Measurement 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]- Apeople, instruments, conditions
- Bgenetics, environmental history
- Ctreatment in experiment
12How do you limit Measurement error?
- Apractice
- Bcalibration
- Cstable environment
- Dnarrow set of characteristics
- Eacclimate
13How do you limit Natural Inherent Variation?
- Anarrow set of characteristics
- Bacclimate
- Cpractice
- Dcallibration
- Estable environment
14How do you deal with ME?
- Atake multiple measurements
- Bincrease sample size
15How do you deal with NIV?
- Aincrease sample size
- Btake multiple measurements
16Which types of tests require a normally distributed data set?
- AParametric Tests
- BNon-paramentric tests
17Coding a dataset changes the relationship between data poinnts.
- AVerdadero
- BFalso
18One can often fix assumptions & issues in normality by coding and/or transforming data.
- AVerdadero
- BFalso
19Which are examples of coding?
- Ax+1
- Bx-7
- Clog(x)
- Dln(x)
20Which of these are examples of transforming?
- Alog(x)
- Bln(x)
- Cx+3
- Dx-7
21Which are point estimates of the central tendency?
- Amean
- Bmedian
- Cmode
22Which 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]- Amedian
- Bmode
- Cmean
23[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- AStandard Deviation
- BStandard Error of the Mean
- CSum of Squares
- DStandard Error of the Mean
- EStandard Deviation
- FMean of Squares
24A random selection of individuals gives the best estimate of a population
- AVerdadero
- BFalso
25Which of these is a balanced design?
- AWhen equal numbers of experimental units are assigned to each treatment
- BWhen equal numbers of measurement units are assigned to each treatment
- CWhen there is an equal number of experimental units on each side of the mean/median.
- DWhen there is an equal number of measurement units on each side of the mean/median.
26TYPES 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- ARandom Selection without Replacement
- BRandom Selection with Replacement
- CHaphazard Selection
- DRandom Selection with Replacement
- ERandom Selection without Replacement
- FHaphazard Selection
- GHaphazard Selection
- HRandom Selection with Replacement
- IRandom Selection without Replacement
- JProbability of selection is constant
- KProbability of selection changes
- LNo probability of selection
- MProbability of selection changes
- NProbability of selection is constant
- ONo probability of selection
- PNo probability of selection
- QProbability of selection is constant
- RProbability of selection changes
- STheoretically the best way.
- TThe worst kind of selection
- UThe worst kind of selection
- VTheoretically the best way
27As 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].
- Adecreases
- Bincreases
- Cdecreases
- Dincreases
- Enarrows
- Fwidens
28[blank_start]Measurement Unit[blank_end]: the object that is measured
[blank_start]Experimental Unit[blank_end]: the object that is manipulated- AMeasurement Unit
- BExperimental Unit
- CExperimental Unit
- DMeasurement Unit
Información
- Descripción
- Test sobre Experimental Design, creado por Jo O'Bar el 24/08/2022.
- Autor
- Jo O'Bar
- Idioma
- English
- Visitas
- 24
- Etiquetas
- Valoración
- Aún sin valoraciones Valora este test