WorksheetsUnit 4 section B
Total questions: 17
Worksheet time: 13mins
The null hypothesis is a statement of:
no findings
no difference
no significance
no trouble
The abbreviation p stands for:
primary
prediction
promise
probability
p < 0.01 means:
There is less than a 10% chance that results occurred by chance.
There is more than a 1% chance that results occurred by chance.
There is less than a 1% chance that results occurred by chance.
There is less than a 99% chance that results occurred by chance.
The term falsifiability refers to the fact that:
Most hypotheses are false
A hypothesis cannot be proved, it can only be disproved
The intention is to disprove a null hypothesis.
All swans are white.
Inferential tests draw inferences from:
A research sample to the population.
A research sample to another research sample.
The population to the research sample.
All of the above
Data that are in categories are called:
Nominal data.
Ordinal data.
Interval data.
Ratio data.
Strictly speaking, data from a rating scale are:
Nominal data.
Ordinal data.
Interval data.
Ratio data.
Data that are measured using units of equal measurement are:
Nominal data.
Ordinal data.
Interval data.
Ratio data.
The actual value that is calculated for a test statistic is called the:
A). Observed value
B). Calculated value
C). Critical value
D). Both A and B
The abbreviations df stand for:
degrees of figure
degraded figure
degrees of freedom
degree of fun
Generally, df is equivalent to the:
number of participants in a study
highest data number collected
importance of the study
probability
The significance level most commonly used in psychology is:
10%
5%
2%
1%
Which of the following is another way to write 5%?
0.5
0.05%
0.5
0.05
If an experiment has a directional hypothesis, the type of test used is called a:
One-tailed test.
Two-tailed test.
Three-tailed test.
5% test.
Type 1 error is a
False positive
False negative
Tue positive
True negative
A type two error occurs when:
The null hypothesis is wrongly rejected
The alternative hypothesis is wrongly rejected
The alternative hypothesis is wrong
the alternative hypothesis is wrongly accepted
A type 2 error is more likely to happen when the required significance level is:
not reached
too high (e.g.1%)
not set
too low (e.g. 10%)
