Lecture 6 Flashcards

(33 cards)

1
Q

The normal distribution is sometimes called the

A

BELL CURVE

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2
Q

The normal distribution is also known as the

A

GAUSSIAN DISTRIBUTION

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3
Q

Who is the German mathematician who first described the normal distribution?

A

Carl Friedrich Gauss

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4
Q

It is a probability function that describes how
the values of a variable are distributed

A

NORMAL DISTRIBUTION

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5
Q

The red curve is a model called the

A

NORMAL CURVE

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6
Q

a variable that can take on an infinite number of values within a specific interval

A

CONTINUOUS RANDOM VARIABLE

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7
Q

Other term for normally distributed

A

NORMAL PROBABILITY DISTRIBUTION

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8
Q

A normal random variable having mean = 0, and standard deviation = 1

A

STANDARD NORMAL RANDOM VARIABLE

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9
Q

What do you call the density curve of the standard normal random variable?

A

STANDARD NORMAL CURVE

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10
Q

The normal random variable of a standard normal distribution is called a

A

STANDARD SCORE / Z-SCORE

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11
Q

is a family of distributions that look
almost identical to the normal distribution curve, only a bit shorter and fatter

A

T-DISTRIBUTION / STUDENT’S T-DISTRIBUTION

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12
Q

number of values in the final calculation of a statistic that are free to vary

A

DEGREES OF FREEDOM

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13
Q

s the average of the given numbers and is calculated by dividing the sum of given numbers by the total number of numbers

A

MEAN

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14
Q

measure of the amount of variation of the values of a variable about its mean

A

STANDARD DEVIATION

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15
Q

It is the process of generalizing
information obtained from a sample to a
population

A

INFERENTIAL STATISTICS

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16
Q

Sample data are used to estimate the value
of unknown parameters such as μ or σ.

17
Q

single points that
are used to infer parameters directly

A

POINT ESTIMATION

18
Q

also called
confidence interval for parameter

A

INTERVAL ESTIMATION

19
Q

provides more information than point estimates and it consist of an interval of numbers

A

CONFIDENCE INTERVAL

20
Q

presents the expected proportion of intervals that will contain the parameter if a large number of different samples is obtained

A

LEVEL OF CONFIDENCE

21
Q

is a procedure on sample evidence and probability, used to test claims regarding a characteristic of one or more populations

A

HYPOTHESIS TESTING

22
Q

A statement or claim regarding a characteristic of one or more populations

23
Q

Assumed true until evidence indicates otherwise

A

NULL HYPOTHESIS

24
Q

Sometimes referred to as the research hypothesis

A

ALTERNATIVE HYPOTHESIS

25
results from an alternative hypothesis which specifies a direction
ONE-TAILED TEST
26
will test both if the mean is significantly greater than x and if the mean significantly less than x
TWO-TAILED TEST
27
the probability of rejecting a null hypothesis when it is true
ALPHA LEVEL / SIGNIFICANCE LEVEL
28
a false positive that occurs when a researcher rejects a true null hypothesis
TYPE I ERROR
29
occurs when a researcher fails to reject the null hypothesis when it is false
TYPE II ERROR
30
is a branch of statistics which leverages models based on a fixed set of parameters
PARAMETRIC STATISTICS
31
does not make any assumptions and measures the central tendency with the median value
NON-PARAMETRIC STATISTICS
32
is the set of all values of the test statistic which will lead to the rejection of null hypothesis
CRITICAL REGION
33
is the set of all values of the test statistic that leads the researcher to retain null hypothesis
ACCEPTANCE REGION