Exam 1 Flashcards

1
Q

The best type of graph to depict time series data would be a:

A

Line Graph

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2
Q

The hypothesis that “spider mites have no effect on wilt disease in cotton plants (Gossypium)” is
an example of a:

A

Null Hypothesis

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3
Q

The statistic that indicates average dispersion of your data in units that are the same
form as your mean is known as the:

A

Standard Deviation

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4
Q

What is a Type I error?

A

Type I error indicates support for the alternative hypothesis when the null is actually true (Falsely reject null, overreacting)

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5
Q

What is a Type II error?

A

Type II error indicates support for the null hypothesis when the alternative is true (Falsely accept null)

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6
Q

What is the central limit theorem and what does it predict about our ability to estimate u?

A

We never know u, but if we collect many samples we can get closer to estimating u

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7
Q

A variable that consisted of ranked data (e.g. from smallest to largest) would be
considered a:

A

Ordinal Variable

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8
Q

Imagine that you were comparing the jumping ability of young frogs, mid-life frogs, and old frogs. What kind of variable would this measure of age be?

A

Ordinal

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9
Q

Imagine that you were working on wheat genetics and you produced a strain of genetically modified wheat that had much greater output than traditional artificially selected wheat. If you wanted to know which strain had more variable output, what would be the best statistic to use?

A

Coefficient of Variation

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10
Q

If we were measuring the length of native snails from Blue Spring in mm, which of the following would be the best way to represent the mean? Representative data would include 8, 5, 3, 12, 2, etc.

A

4.4 mm

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11
Q

Imagine that you’re working at a turtle hospital with 22 green sea turtles, 2 leatherbacks, and 10 hawksbill turtles in rehab. If you select a turtle at random to treat,
what’s the likelihood that it would be a leatherback?

A

0.059

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12
Q

Suppose that a disease is inherited via a sex-linked mode of inheritance, but rare. The sex ratio of the population isn’t quite 1:1, so 51.3% of the population are male. A male offspring has a 15% chance of inheriting the disease, but a female offspring has no
chance of inheriting the disease. What is the probability that a randomly chosen child will be affected by the disease?

A

0.077

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13
Q

Imagine that you were going to test whether myocardial blood flow increased when
four subjects were given air that had artificially low oxygen (as at high altitude) as compared to four subjects who were given air with an ambient oxygen concentration. Which of the following is true about the t test that you would run?

A

It would be one tailed

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14
Q

Apophenia

A

An error of perception

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15
Q

Categorical Variable

A

Nominal or Ordinal

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16
Q

Nominal Variable

A

“Named” or Attribute

17
Q

Ordinal Variable

A

“Ordered” or Ranked

18
Q

Numerical Variable

A

Discrete or Continuous

19
Q

Discrete Variable

A

Whole numbers only

20
Q

Continuous Variable

A

Numbers can take any value within the range

21
Q

Bar Graphs

A

For categorical data

22
Q

Scatterplots

A

Show relationships between two parameters

23
Q

Probability

A

The likelihood an event will occur

24
Q

Conditional Probability

A

When making one choice affects future choices

25
Q

One SD on either side of the mean includes what % of the population?

A

68%

26
Q

Two SD on either side of the mean includes what % of the population?

A

95%

27
Q

Magnitude of SD determines what?

A

Width of the curve

28
Q

Null Hypothesis

A

Hypothesis of no change, default

29
Q

Alternate Hypothesis

A

Hypothesis of change

30
Q

P-Value

A

The probability you would obtain a test statistic as extreme (or more extreme) than you calculated if the null hypothesis were true

31
Q

What will give a big t value?

A

Big difference between means, small SE/low variation

32
Q

How to tell if a result is significant

A

If the variation between treatments is greater than the variation within treatments

33
Q

Power of the Test

A

The chance of rejecting the null when it’s actually true or the ability to detect a significant treatment effect when it exists