[L4] Making Inferences Confidence Limits and Statistical Significance Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

the name given to the standard
deviation of the sampling distribution.

A

Standard Error -

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

*that is if we carry out the same experiment over and over
again we will get slightly different results every time.
The SE is the ___ of that sample of scores.

A

SD

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Formula of Standard Error

A

se = σ / √ N

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

A probability always goes from ___

A

0 to 1.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

An event which has a probability of ___ will not happen

A

zero

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

An event which has a probability of __ will happen, no
matter what.

A

1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Probability is ___ we like to believe that we
know things rather than making probability statements
about them.

A

counter-intuitive

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

It either specifies that there
is no effect, or that there is real effect in the direction
opposite to that specified by the alternative hypothesis.

A

Null Hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

The
hypothesis that claims the differences in results between
the conditions is due to the independent variable

A

Alternative hypothesis –

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

___– if we are
looking for a result in one direction only.

A

One tailed (or directional) hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

– value or cut-off we use
before we decide to reject the null hypothesis.

A

α (alpha – Greek Letter)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

____ probability of a result occurring if
the null hypothesis is true, not the probability that the
null hypothesis is true

A

Probability value –

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

0.05 (1 in 20 0r 5%) – somewhat ___, but is the
convention that is used throughout much of science.

A

arbitrary

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

____ is deemed rare enough that we can trust it but
not so stringent that it is impossible to achieve.

A

One in 20

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

When the probability is found to be below 0.05 (or
whatever cut-off we are using) it is described as
___

A

statistically significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

the probability that the pattern
of data that was observed did not occur by chance.

A

Statistical Significance –

17
Q

Psychologists accept findings that are likely to have
occurred by chance no more than __out of 100 times.
(P = to or < .05)

A

5

18
Q

– indicates that the probability that the
observed finding occurred by chance is less than 5 in
100.

A

Alpha level

19
Q

when we reject the null hypothesis
because there is only a low probability of the result
occurring if it is true, but it might actually be true after
all.

A

Type I Error –

20
Q

– the other logical error when we fail to
reject the null hypothesis when it is not true.

A

Type II Error

21
Q

If we want to estimate the statistical significance of our
results (that is, the probability of our result occurring if
the null hypothesis is true), then we need to get back to
the ___

A

standard error.

22
Q

If our sample is large, the distribution will be ___

A

normal.
(central limit theorem)

23
Q

If our sample is not large, then the distribution is not
normal, instead it follows a shape called the ___

A

t-distribution

24
Q

___– the number of scores that
are free to vary in calculating a statistic.

A

Degrees of Freedom or df

25
Q

__ the range of values which are
the likely range of the population value.

A

Confidence Intervals –

26
Q

the largest and smallest values in
the interval

A

Confidence Limits –

27
Q

We usually calculate __confidence limits which match
the __- significance level (alpha level α )

A

95% ; 0.05

28
Q

In 95% of studies, the true
(population) mean will be contained within the
confidence intervals.

A

Correct interpretation

29
Q

There is a 95 % chance that the
true (population) mean is contained within the
confidence intervals.

A

Wrong interpretation:

30
Q

The___ cannot change! – it is fixed. It is
either within or not.

A

population mean

31
Q

____are two
sides of a coin.

A

Confidence Intervals and Statistical Significance

32
Q

If the CIs contain the null hypothesis, the result is

A

not
statistically significant.

33
Q

If the CIs do not contain the null hypothesis, the result is

A

statistically significant

34
Q

if we are
looking for a result in either direction.

A

Two-tailed (or non-directional) hypothesis –