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WorksheetsStatistical Methods 1 Workshop Quiz
Total questions: 10
Worksheet time: 10mins
Which of these statements is NOT true about the null hypothesis?
It can assume that all means are equal
We can disprove a theory based on the null hypothesis
It can assume that all distributions are the same
We do not reject it unless we have evidence to the contrary
We reject the null hypothesis when our p value is less than what criterion?
alpha (α)
beta (β)
sigma (σ)
mu (μ)
Which of these statements is true about the mean?
It is most effective when our dataset is skewed
It is meaningful for ratio, interval, and nominal data
The mean of the dataset is not always meaningful
It only uses a portion of the entire dataset
How do we calculate the standard deviation of a dataset?
Square root the dataset's variance
Square root the dataset's deviance from the mean
Square the dataset's variance
Square the dataet's deviance from the mean
What proportion of the population's data do we expect to lie within 2 standard deviations of the mean?
68%
90%
95%
99.7%
We can calculate standard error of the mean to estimate how confident we are our sample values represent...
Other sample means
One individual's data
A previous study's sample
The population
Which of these statements is true about SPSS?
The data view contains participant data, the variable view has information on our variables
Each row in the data view contains information on one variable
The data view contains information on our variables, the variable view contains our participant data
You are allowed to create variables names with spaces
Which of the following must you NOT do in SPSS?
Create variable names with no spaces
Copy and paste SPSS tables directly into reports
Save and/or export your SPSS files and outputs
Give unique names to each of your variables
If the Levene's test for equality of variances is significant, what does this mean?
We can assume equal variances between two independent groups
We cannot assume equal variances between two independent groups
There are significant differences in means between two independent groups
There is not enough information here to know what this means
Which of the following statements is true about degrees of freedom?
It is the number of observations that must be fixed when estimating parameters
It is always equivalent to n-1
We need to know this value in order to test the significance of our data
SPSS does not calculate this for you
