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WorksheetsQuantitative Research Methods 1-4
Total questions: 76
Worksheet time: 6hrs 20mins
SPSS stands for .....
Statistical Product and Service Solution
Software Platform Statistical Science
Statistical Package for the Social Science
Solved Product Statistical Science
Which one is the CORRECT statement for standard deviation?
Standard deviation is the average of the mean between variables.
Standard deviation is the average mean divided by the total value of the variables.
Standard deviation is the total minimum value of the variables.
Standard deviation is the dispersion of data values from the mean.
ANNOVA stand for____
Analysis of variety
Analysis of variance
Anti nation various
None of these
Give Spongebob a mustache
When variables X and Y are correlated, which explanations are possible?
X causes Y
Y causes X
Z affects both X and Y
X and Y are completely unrelated
The ____ data points you collect, the more likely false correlations will occur.
More
Fewer
Apple-pie
Correlated relationships always last forever.
True
False
-_-
Extrapolating beyond the region of applicability for a relationship is known as a _____.
Major Boo-Boo
Generalisation Error
Factual Inconsistency
Statistical Anomaly
Why is the left chart misleading?
The Y-axis does not start at 0
The X-axis starts on a different year
The data in the left chart is falsified
The left chart is reversed
A _____ data set is more likely to show _____ results
Small; extreme
Large; extreme
Small; average
Large; average
_____ is required to make sense of research studies and make informed decisions accordingly.
Data literacy
Common sense
High IQ
SPSS
The term Distribution of the Variable refers to what?
The pattern of data variation
Whether a result occurs due to chance or to the variable you are testing
The extent to which the findings of a study can be applied to other situations
A statistical measurement of the probability of obtaining the observed results by chance
The term Statistical Significance refers to what?
The pattern of data variation
Whether a result occurs due to chance or to the variable you're testing
The extent to which the findings of a study can be applied to other situations
A statistical measurement of the probability of obtaining the observed results if the null hypothesis is true
The term Generalisability refers to what?
The pattern of data variation
Whether a result occurs due to chance or to the variable you're testing
The extent to which the findings of a study can be applied to other situations
A statistical measurement of the probability of obtaining the observed results if the null hypothesis is true
The term P-Value refers to what?
The pattern of data variation
Whether a result occurs due to chance or to the variable you're testing
The extent to which the findings of a study can be applied to other situations
A statistical measurement of the probability of obtaining the observed results if the null hypothesis is true
_____ is a statistic expressing the amount of random sampling error in the results of a survey.
Margin of Error
Margerine of Terror
P-Value
Statistical Significance
Central Tendency can be split into...
Mean
Mode
Median
Margin
Which Central Tendency measurement shows us the average value?
Mean
Median
Mode
Which Central Tendency measurement shows us the middle value, when the date ordered from greatest to smallest?
Mean
Median
Mode
Which Central Tendency measurement shows us the value that occurs the most?
Mean
Median
Mode
_____ investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them.
Correlational Design
Experimental Design
True Experiment
Quasi Experiment
_____ is a research design that involves comparisons of behaviour observed in different situations, but where subjects are not randomly assigned to the different situations.
Correlational Design
Experimental Design
True Experiment
Quasi Experiment
The terms Independent Variable and Dependent Variable only exist in experimental design
A _____ variable is one which the researcher holds constant during an experiment.
Controlled
Independent
Dependent
Variable-y
The taller you are, the faster you run. Therefore, height and speed have a _____.
Positive Relationship
Negative Relationship
No Relationship
The heavier you are, the slower you run. Therefore, weight and speed have a _____.
Positive Relationship
Negative Relationship
No Relationship
The colour of your hair makes no difference on your running speed. Therefore, hair colour and speed have _____.
Positive Relationship
Negative Relationship
No Relationship
In a _____ design, you manipulate an independent variable and measure its effect on a dependent variable. In a _____ design, you measure variables without manipulating any of them.
Experimental; correlational
Correlational; experimental
Research; statistical
Statistical; research
"Are people who eat canned food more likely to get cancer?" This question would be best answered by a...
Experimental Design
Correlational Design
"Do anxious people tend to sleep less?" This question would be best answered by a...
Experimental Design
Correlational Design
"Does drinking red bull make you perform mental maths faster?" This question would be best answered by a...
Experimental Design
Correlational Design
Mathematically, a variable we consider a cause is _____ while a variable we consider an effect is _____.
Dependent; independent
Independent; dependent
Independent variables are also known as _____.
Predictors
Outcomes
Refractors
Correlators
Dependent variables are also known as _____.
Predictors
Outcomes
Elicitors
Reactionaries
What are differences between Descriptive Statistics and Inferential Statistics?
Inferential Stats allow you to make generalisations to the population
Descriptive Stats do not allow you to infer anything from the data
Descriptive Stats allow you to make generalisation to the population
Inferential Stats always have access to the entire population of interest
_____ does not allow the researcher to test hypotheses, infer any conclusions or generalise the data to a larger population.
Descriptive Statistics
Inferential Statistics
_____ allow us to generalise the data from a sample to a larger poplation.
Descriptive Statistics
Inferential Statistics
Measuring the Central Tendencies (mean, mode, median) of how much food a herd of cows eat in a day would be a/an _____.
Descriptive Statstic
Inferential Statistic
Any group of data, which includes all the data you are interested in, is called a _____.
Population
Parameter
Sample
Statistic
A small quantity of a larger group of data is called a _____.
Population
Parameter
Sample
Statistic
A characteristic of a small part of data, taken from a larger group of data is called a _____.
Population
Parameter
Sample
Statistic
A characteristic of the entire population of data is called a _____.
Population
Parameter
Sample
Statistic
Parameter values are rarely knowable.
True-man Show
Fake "the Snake" Roberts
Inferential Statistics can be split into...
1. Differences
2. Associative
3. Predictive
1. Constant
2. Reactive
3. Effervescent
1. Instant
2. Cumulative
3. Pre-existing
1. Proper
2. Improper
3. Disproper
Inferential Statistics can be split into...
Differences
Associative
Predictive
What question is asked by the Difference method of Inferential Statistics?
Are two or more groups the same or different?
Are two or more variables related in a systematic way?
Can we predict one variable if we know one or more other variables?
What question is asked by the Associative method of Inferential Statistics?
Are two or more groups the same or different?
Are two or more variables related in a systematic way?
Can we predict one variable if we know one or more other variables?
What question is asked by the Predictive method of Inferential Statistics?
Are two or more groups the same or different?
Are two or more variables related in a systematic way?
Can we predict one variable if we know one or more other variables?
What is a Latent variable?
A variable that cannot be observed
A variable that cannot change
A variable that is manipulated during research
A variable controlled by the experimenter
The differences between the observation in a population and the sample representing that population in a study.
What is Sampling Error?
What is Descriptive Statistics?
What is Selection Bias?
What is Nominal Scale?
Surveying people is akin to tossing a coin. The amount of coin tosses is equivalent to...
The number of people being surveyed
The survey results
Surveying people is akin to tossing a coin. The result of the coin tosses is equivalent to...
The number of people being surveyed
The survey results
A sample chosen in a way that individuals are chosen with a specific probability
What is a Probability Sample?
What is a Convenience/Purposeful Sample?
A sample chosen in a way that the probability of an individual being chosen cannot be determined
What is a Probability Sample?
What is a Convenience/Purposeful Sample?
You must survey 100 students at your university. How would you pick the students using Simple Random Sampling?
Pick 100 students randomly from a list of all students at university
Pick 10 faculties and randomly choose 10 students from each faculty
Find the demographics of students (60% female, 40% male) and randomly pick 60 girls and 40 boys
Send out an email to all students asking for 100 volunteers
You must survey 100 students at your university. How would you pick the students using Cluster Random Sampling?
Pick 100 students randomly from a list of all students at university
Randomly pick 10 faculties and randomly choose 10 students from each faculty
Find the demographics of students (60% female, 40% male) and randomly pick 60 girls and 40 boys
Send out an email to all students asking for 100 volunteers
You must survey 100 students at your university. How would you pick the students using Stratified Random Sampling?
Pick 100 students randomly from a list of all students at university
Randomly pick 10 faculties and randomly choose 10 students from each faculty
Find the demographics of students (60% female, 40% male) and randomly pick 60 girls and 40 boys
Send out an email to all students asking for 100 volunteers
You must survey 100 students at your university. How would you pick the students using Convivence Sampling?
Pick 100 students randomly from a list of all students at university
Randomly pick 10 faculties and randomly choose 10 students from each faculty
Find the demographics of students (60% female, 40% male) and randomly pick 60 girls and 40 boys
Send out an email to all students asking for 100 volunteers
What is a Sampling Error?
An error that occurs during sampling
An error in which certain people are systematically more likely to sampled than others
What is a Sampling Bias?
An error that occurs during sampling
An error in which certain people are systematically more likely to sampled than others
_____ occurs when information collected for use as a study variable is inaccurate.
Selection Bias
Measurement/ Response Bias
Non-Response Bias
_____ occurs when the sampling plan excludes some part of the population. Those excluded differ systematically from those included.
Selection Bias
Response/ Measurement Bias
Non-Response Bias
A _____ is the calculation used to estimate the smallest sample size needed for an experiment
Power Analysis
Refractory Tangent
Insular Modal Fix
Coded Integer Method
“Among US men, 10% to 60% eat a sandwich at least once a day”. This disparity may be due to an unclear...
Operational Definition (OD)
Official Designation (OD)
Fractal Ungulate (FU)
Original Design (OD)
"What blood type are you?"
The answer to this question would be a...
Categorical Variable
Continuous Variable
Discrete Variable
"How many cats does the crazy cat lady have?"
The answer to this question would be a...
Categorical Variable
Continuous Variable
Discrete Variable
"How much water is in the Red Sea?"
The answer to this question would be a...
Categorical Variable
Continuous Variable
Discrete Variable
While age should be a Continuous Variable (as you can be 22.4 years old) it is usually rounded down (to 22 years old). Rounding down makes age a _____.
Discrete Variable
Categorical Variable
While age should be a _____ (as you can be 22.4 years old) it is usually rounded down (to 22 years old). Rounding down makes age a Discrete Variable.
Continuous Variable
Categorical Variable
"What job do you have?"
The answer to this question will be placed in which scale?
Nominal Scale
Interval Scale
Ratio Scale
Ordinal Scale
"How pleased are you with your job: Not pleased, somewhat pleased or very pleased?"
The answer to this question will be placed in which scale?
Nominal Scale
Interval Scale
Ratio Scale
Ordinal Scale
"What's the time?"
The answer to this question will be placed in which scale?
Nominal Scale
Interval Scale
Ratio Scale
Ordinal Scale
"How much money is in my pocket?"
The answer to this question will be placed in which scale?
Nominal Scale
Interval Scale
Ratio Scale
Ordinal Scale
“tThe average number of boyfriends that women in their 20s have has increased from 4.6 to 8.9”. This statement treats a _____ variable as a _____ variable.
Discrete; continous
Continuous; discrete
Should Likert Scale responses be treated as Ordinal or Interval?
Ordinal
Interval
It depends
While single Likert Scale responses should be treated as _____, multiple Likert Scale responses combined could be treated as _____.
Ordinal Scales; Interval Scales
Interval Scales; Ordinal Scales
Nominal Scales; Ratio Scales
Ratio Scales; Nominal Scales
