Math 110 Elementary Statistics/Math 110 Elementary Statistics ACTUAL
EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100
VERIFIED) LATEST VERSION 2025!!
Study online at https://quizlet.com/_h9gx1a
1. Data Collections of observations (measurements, genders, surveys)
2. Statistics Collection of methods for planning experiments, obtaining data, organizing, sum-
marizing, presenting, analyzing, interpreting, and drawing conclusions based on
data.
3. Population the complete collection of all measurements or data that are being considered.
typically it is the complete collection of data that we would tend to make reference
about.
4. Census the collection of data from every member of the population (not really tho)
5. Sample a subcollection of members selected from a population
6. voluntary re- one in which the respondents themselves decide whether to be included
sponse sample
7. Parameter a numerical measurement describing some characteristic of a population
8. statistic a numerical measurement describing some characteristic of a sample
9. Quantitative data consists of numbers representing counts or measurements
10. categorial data consist of names or labels that are not numbers representing counts or measure-
ments
11. discrete data result when the data values are quantitative and the number of values is finite or
"countable"
12. continuous data results from infinitely many possible quantitative values, where the collection of
values is not countable
13.
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, Math 110 Elementary Statistics/Math 110 Elementary Statistics ACTUAL
EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100
VERIFIED) LATEST VERSION 2025!!
Study online at https://quizlet.com/_h9gx1a
nominal level of characterized by data that consist of names, labels, or categories only, and the data
measurement cannot be arranged in an ordering scheme (such as low to high)
Ex. Eye colors
14. ordinal level of Opposite of nominal level but differences (subtract) between data values either
measurement can't be determined or are meaningless
Ex. Ranks of colleges in U.S. News & World Report
15. interval level of if they can be arranged in order, and differences between data values can be found
measurement and are meaningful. Data at this level do not have a natural zero starting point at
which none of the quantity is present.
Ex. Body temperatures in degrees Fahrenheit or Celsius
16. ratio level of mea- A measurement of a variable in which the numbers indicating a variable's values
surement represent fixed measuring units and an absolute zero point
Ex. Heights, Lengths, Distances, Volumes
17. Big Data data so large & complex it goes beyond the capabilities of traditional software tools
18. Data Science involves applications of statistics, computer science, and software engineering,
along with some other relevant fields (such as sociology or finance).
19. Missing com- if the likelihood of its being missing is independent of its value or any of the other
pletely at random values in the data set. That is, any data value is just as likely to be missing as any
other data value.
20. missing not at The missing value is related to the reason that it is missing
random
21. experiment we apply some treatment & proceed to observe it effects on the individuals/exper-
imental units/subjects.
2/6
EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100
VERIFIED) LATEST VERSION 2025!!
Study online at https://quizlet.com/_h9gx1a
1. Data Collections of observations (measurements, genders, surveys)
2. Statistics Collection of methods for planning experiments, obtaining data, organizing, sum-
marizing, presenting, analyzing, interpreting, and drawing conclusions based on
data.
3. Population the complete collection of all measurements or data that are being considered.
typically it is the complete collection of data that we would tend to make reference
about.
4. Census the collection of data from every member of the population (not really tho)
5. Sample a subcollection of members selected from a population
6. voluntary re- one in which the respondents themselves decide whether to be included
sponse sample
7. Parameter a numerical measurement describing some characteristic of a population
8. statistic a numerical measurement describing some characteristic of a sample
9. Quantitative data consists of numbers representing counts or measurements
10. categorial data consist of names or labels that are not numbers representing counts or measure-
ments
11. discrete data result when the data values are quantitative and the number of values is finite or
"countable"
12. continuous data results from infinitely many possible quantitative values, where the collection of
values is not countable
13.
1/6
, Math 110 Elementary Statistics/Math 110 Elementary Statistics ACTUAL
EXAM QUESTIONS WITH COMPLETE SOLUTION GUIDE (A+ GRADED 100
VERIFIED) LATEST VERSION 2025!!
Study online at https://quizlet.com/_h9gx1a
nominal level of characterized by data that consist of names, labels, or categories only, and the data
measurement cannot be arranged in an ordering scheme (such as low to high)
Ex. Eye colors
14. ordinal level of Opposite of nominal level but differences (subtract) between data values either
measurement can't be determined or are meaningless
Ex. Ranks of colleges in U.S. News & World Report
15. interval level of if they can be arranged in order, and differences between data values can be found
measurement and are meaningful. Data at this level do not have a natural zero starting point at
which none of the quantity is present.
Ex. Body temperatures in degrees Fahrenheit or Celsius
16. ratio level of mea- A measurement of a variable in which the numbers indicating a variable's values
surement represent fixed measuring units and an absolute zero point
Ex. Heights, Lengths, Distances, Volumes
17. Big Data data so large & complex it goes beyond the capabilities of traditional software tools
18. Data Science involves applications of statistics, computer science, and software engineering,
along with some other relevant fields (such as sociology or finance).
19. Missing com- if the likelihood of its being missing is independent of its value or any of the other
pletely at random values in the data set. That is, any data value is just as likely to be missing as any
other data value.
20. missing not at The missing value is related to the reason that it is missing
random
21. experiment we apply some treatment & proceed to observe it effects on the individuals/exper-
imental units/subjects.
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