W6 Lectures t-distribution; confidence intervals and estimation + iNZight + degrees of freedom Flashcards

1
Q

t-distributions

A

based on the standard Normal distribution and are used with continuous variables

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2
Q

t-distribution gets closer to the standard Normal distribution when?

A

the sample size increases - most identical results are present

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3
Q

what is a point estimate?

A

is the mean/median taken from the sample data that estimates the population’s true mean/median

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4
Q

what is an interval estimate?

A

A confidence interval is a range of values that likely includes the true average (mean) or middle value (median) of a population.
The interval’s size depends on data variation, sample size, and confidence level.

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5
Q

what is a margin of error

A

The margin of error shows how much the sample results might differ from the true average (mean) of the whole population.

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6
Q

how do you get the bounds or limits

A

point estimate +/- margin of error

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7
Q

t-tests characteristics

A

to test whether a population mean is equal to a particular (hypothesised) value.
- based on the Normal distribution
- uses the point estimate of the population mean

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8
Q

what is the value of the mean of a t-distribution

A

0

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9
Q

how do you calculate the t-statistic

A

sample mean
sample standard deviation
sample size
t= x-bar - u/ s/root(n)

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10
Q

t-test hypotheses

A

H0: u = u0
H1: u > u0 or H1: u < u0 or H1: u =/ u0

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11
Q

Definition of degrees of freedom

A

Degrees of freedom (df) can be defined as ‘the number of observations in the calculation of a statistic that are free to vary’

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12
Q

Definition of Formal inference

A

to make objective inference from something that is just a sample to a whole population

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