Jo O'Bar
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Quiz on Experimental Design, created by Jo O'Bar on 24/08/2022.

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Jo O'Bar
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Experimental Design

Question 1 of 28

1

The statistical difference in data is directly correlated to its biological importance.

Select one of the following:

  • True
  • False

Explanation

Question 2 of 28

1

Select from the dropdown lists to complete the text.

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

Explanation

Question 3 of 28

1

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

Select one of the following:

  • True
  • False

Explanation

Question 4 of 28

1

Which of these would be examples of observational work?

Select one or more of the following:

  • 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

Explanation

Question 5 of 28

1

Which of these were discovered/developed by Laplace and Gauss? And when?

Select one or more of the following:

  • Normal Distribution

  • Central Limit Theorum (CLT)

  • 1700s

  • 1800s

  • 1900s

  • Correlation

  • ANOVA

  • t-test

Explanation

Question 6 of 28

1

Which of these were discovered/developed by Galton & Pearson? And when?

Select one or more of the following:

  • Correlation

  • x^2 frequency

  • 1800s

  • 1900s

  • 1700s

  • Exp. Design

  • Normal Distribution

  • x^2 theorem

  • Central Limit Theorem (CLT)

  • ANOVA

Explanation

Question 7 of 28

1

Which of these were discovered/developed by Gosset and Fisher? And when?

Select one or more of the following:

  • t-test

  • ANOVA

  • Exp. Design

  • Normal Distribution

  • Correlation

  • x^2 frequency

  • 1900s

  • 1800s

  • 1700s

Explanation

Question 8 of 28

1

Who developed the t-test? And what pseudonym did he go under?

Select one or more of the following:

  • William Sealy Gosset

  • "Student"

  • "Teacher"

  • "That One Guy"

  • Ronald A. Fisher

  • Karl Peterson

Explanation

Question 9 of 28

1

Select from the dropdown lists to complete the text.

Number of people is an example of ( discrete, continuous ) data.
Length of an elephant's trunk is an example of ( continuous, discrete ) data.

Explanation

Question 10 of 28

1

Select from the dropdown lists to complete the text.

( Accuracy, Precision ) is how close the data is to "the truth" (specifically the ( mean, range, median )).
( Precision, Accuracy ) is how close multiple measurements are to each other.

Explanation

Question 11 of 28

1

Measurement Error: variation due to
Natural Inherent Variation: variation due to
Treatment effect: variation due to

Drag and drop to complete the text.

    people, instruments, conditions
    genetics, environmental history
    treatment in experiment

Explanation

Question 12 of 28

1

How do you limit Measurement error?

Select one or more of the following:

  • practice

  • calibration

  • stable environment

  • narrow set of characteristics

  • acclimate

Explanation

Question 13 of 28

1

How do you limit Natural Inherent Variation?

Select one or more of the following:

  • narrow set of characteristics

  • acclimate

  • practice

  • callibration

  • stable environment

Explanation

Question 14 of 28

1

How do you deal with ME?

Select one of the following:

  • take multiple measurements

  • increase sample size

Explanation

Question 15 of 28

1

How do you deal with NIV?

Select one of the following:

  • increase sample size

  • take multiple measurements

Explanation

Question 16 of 28

1

Which types of tests require a normally distributed data set?

Select one of the following:

  • Parametric Tests

  • Non-paramentric tests

Explanation

Question 17 of 28

1

Coding a dataset changes the relationship between data poinnts.

Select one of the following:

  • True
  • False

Explanation

Question 18 of 28

1

One can often fix assumptions & issues in normality by coding and/or transforming data.

Select one of the following:

  • True
  • False

Explanation

Question 19 of 28

1

Which are examples of coding?

Select one or more of the following:

  • x+1

  • x-7

  • log(x)

  • ln(x)

Explanation

Question 20 of 28

1

Which of these are examples of transforming?

Select one or more of the following:

  • log(x)

  • ln(x)

  • x+3

  • x-7

Explanation

Question 21 of 28

1

Which are point estimates of the central tendency?

Select one or more of the following:

  • mean

  • median

  • mode

Explanation

Question 22 of 28

1

Which is the point estimate that best represents the central tendency in which statistical situation?

skewed data:
somewhat symmetric data:

Drag and drop to complete the text.

    median
    mode
    mean

Explanation

Question 23 of 28

1

Select from the dropdown lists to complete the text.

( Standard Deviation, Standard Error of the Mean, Sum of Squares ): deviation in the sample that was measured
( Standard Error of the Mean, Standard Deviation, Mean of Squares ): estimate in variation of mean values if you take multiple sets f samples

Explanation

Question 24 of 28

1

A random selection of individuals gives the best estimate of a population

Select one of the following:

  • True
  • False

Explanation

Question 25 of 28

1

Which of these is a balanced design?

Select one of the following:

  • 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.

Explanation

Question 26 of 28

1

Select from the dropdown lists to complete the text.

TYPES OF RANDOMIZATION

( Random Selection with Replacement, Random Selection without Replacement, Haphazard Selection )
1. Tag entire population
2. Random Draw
3. Replace individual in population
4. ( Probability of selection is constant, Probability of selection changes, No probability of selection )
( Theoretically the best way., The worst kind of selection )

( Random Selection without Replacement, Random Selection with Replacement, Haphazard Selection )
1. Tag entire population
2. Random Draw
3. Measure Inividual
4. Do not place back into population
5. ( Probability of selection changes, Probability of selection is constant, No probability of selection )
Can get around by using same measurement if drawn again

( Haphazard Selection, Random Selection with Replacement, Random Selection without Replacement ):
1. Don't tag anything
2. No random draw
3. Measure Individual
4. Replacement is irrelevant
5. ( No probability of selection, Probability of selection is constant, Probability of selection changes )
( The worst kind of selection, Theoretically the best way ), though it is still often used

Explanation

Question 27 of 28

1

Select from the dropdown lists to complete the text.

As sample size (n) increases, the t-value ( decreases, increases ), the standard error (SE) ( decreases, increases ), and the confidence interval (CI) ( narrows, widens ).

Explanation

Question 28 of 28

1

Select from the dropdown lists to complete the text.

( Measurement Unit, Experimental Unit ): the object that is measured
( Experimental Unit, Measurement Unit ): the object that is manipulated

Explanation

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