BSLEC 3 Flashcards

1
Q

Techniques that allow us to make inferences about a population based on data that we gather from a sample

A

INFERENTIAL STATISTICS

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2
Q

Study results will vary from sample to sample strictly due to ___

A

random chance

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3
Q

allow us to determine how likely it is to obtain a set of results from a single sample

A

Inferential statistics

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4
Q

This is also known as testing for “statistical significance

A

Inferential statistics

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5
Q

When you use inferential statistics, you start with a ___and look to see whether the data are consistent with that ___

A

hypothesis

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6
Q

the product of hypothesis testing via various statistical tests and is claimed to be significant most commonly when the value is 0.05 or less

A

p value

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7
Q

The value 0.05 is___

A

arbitrary

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8
Q

(99%) depending on requirements

A

power

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9
Q

also known as a “false positive”

A

Type I error

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10
Q

the error of rejecting a null hypothesis when it is actually true.

A

Type I error

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11
Q

also known as a “false negative”

A

Type Il error

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12
Q

the error of not rejecting a null hypothesis when the alternative hypothesis is the true state of nature

A

Type Il error

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13
Q

this is the error of failing to accept an alternative hypothesis when you don’t have adequate power.

A

Type Il error

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14
Q

there is no significant difference

A

Null hypothesis

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15
Q

There is a significant difference

A

Alternative hypothesis

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16
Q

a measure of the researchers’ uncertainty in the sample statistic as an estimate of the population parameter, if less than the whole population is studied.

A

Confidence interval

17
Q

usually set at 95% by convention

A

Confidence interval

18
Q

_____helps us decide whether two quantities are significantly different but does not tell us how different (degree) they are.

A

P-VALUES

19
Q

whilst standard errors shrink with increasing sample size, the researcher should be seeking to reach an optimal sample size, rather than the maximal sample size.

A

The standard error

20
Q

. standard deviation, of the effect being studied e the less variability in the sample, the more precise the estimate in the population and therefore a narrower range.

A

The mean and the variability

21
Q

the more confident someone wants to be in the obtained results, the higher the confidence interval needs to be, In other words, if a 99% confidence interval is desired then the range will have to be wider, to cover the extra data that needs to be covered over and above the arbitrary 95%,

A

The degree of confidence required

22
Q

Probability of an event the relative frequency of this set of outcomes over an Indefinitely large (or Infinite) number of trials

A

Probability

23
Q

Any set of outcomes of interest

A

Event

24
Q

The set of all possible outcomes of a random phenomenon

A

Sample space

25
Q

Events that do not affect each other.

Multiply

A

Independent Events

26
Q

Events that affect each other i.e. with no replacement.

A

Dependent Events

27
Q

Events that can not occur at the same time.

A

Mutually Exclusive Events

28
Q

Events can occur at the same time.

A

Non-Mutually Exclusive Events

29
Q

Frequently called the Gaussian distribution after ____________

A

Karl Freidrich Gauss