WorksheetsMathematics Reviewer
Total questions: 30
Worksheet time: 15mins
Determines the position of a single value in relation to other values in a sample or a population data set.
Measures of Position
Estimate of Position
Are the scores that divide a data set into four (4) equal parts.
Quartiles
Deciles
What is the percentage (%) of the distribution below the first/lower quartile?
10%
25%
What is the percentage (%) of the distribution below the second/middle quartile?
25%
50%
What is the percentage (%) of the distribution below the third/upper quartile?
60%
75%
When using Mendenhall and Sincich Method, what would be the formula when looking for the Q3’s position?
Q3 = 3(n+1)/4
Q3 = 1(n+3)/4
This is used when decimals are found in the positions.
Linear Interpolation
Linear Innerpolation
Are the scores that divide a data set into ten (10) equal parts.
Quartiles
Deciles
Are the scores that divide a data set into one hundred (100) qual parts.
Deciles
Percentiles
What is the relationship between the measures of position Q1 with Percentiles?
Q1 = P10
Q1 = P25
What is the relationship between the measures of position P50 with Quartiles?
P50 = Q1
P50 = Q2
What is the relationship between the measures of position D8 with Percentiles?
D8 = P18
D8 = D80
In Quartiles for Grouped Data, what is the meaning of LB?
The lower boundary of the class interval
The lower class boundary of the cumulative frequency before the Qi class
In Quartiles for Grouped Data, what is the meaning of k?
the nth decile
the nth quartile
In Quartiles for Grouped Data, what is the meaning of n?
total frequency or population
total value of the Qi class
In Quartiles for Grouped Data, what is the meaning of <cfb?
cumulative frequency before the Qi class
cumulative frequency after the Qi class
In Quartiles for Grouped Data, what is the meaning of fb?
frequency of the Qi class
frequency of the cumulative frequency
In Quartiles for Grouped Data, what is the meaning of w?
the size of the cumulative frequency
the size of the class interval
This is a level of measurement wherein symbols or numbers that don’t imply any meaningful order.
Nominal Level
Ordinal Level
This is a level of measurement wherein it can be arranged but distance doesn’t have any meaning.
Nominal Level
Ordinal Level
This is a level of measurement wherein it can be arranged in the distance does have a meaning.
Interval Level
Ratio Level
This is a level of measurement wherein there is the idea of a meaningful zero.
Interval Level
Ratio Level
A sampling technique where every member of the population has an equal chance of being selected, this is the most basic and ideal approach if done correctly
Simple Random Sampling/Lottery Sampling
Systematic Sampling
This is a sampling technique that is ordered in some ways like a list alphabetically, a random starting point is chosen and every nth member is selected.
Simple Random Sampling/Lottery Sampling
Systematic Sampling
A sampling technique that is divided into subgroups (strata) based on relevant characteristics.
Stratified Sampling
Cluster Sampling
A sampling technique where the population is divided into groups (clusters) that resemble the whole population
Stratified Sampling
Cluster Sampling
A sampling technique where a combination of the sampling methods used in stages.
Multistage Sampling
Convenience Sampling
Is sampling technique where the easiest accessible members of the population are chosen.
Multistage Sampling
Convenience Sampling
A sampling technique similar to stratified sampling, but instead of random selection within subgroups, this sampling technique is set for the number of members to be sampled from each subgroup.
Quota Sampling
Purposive Sampling
A sampling technique where the researcher chooses members based on their judgment of who best fits the study’s criteria.
Quota Sampling
Purposive Sampling
