BSTAT 2305 FINAL ACTUAL EXAM PAPER
2026 QUESTIONS WITH ANSWERS GRADED
A+
⩥ inferential statistics. Answer: drawing conclusions about a population
based on sample data from that population
⩥ Population. Answer: All members of a specified group
⩥ Sample. Answer: a subset of the population
⩥ Sample Results. Answer: Sample Statistic
⩥ sample statistic. Answer: Estimates a population parameter
⩥ What are two reasons we can't use population data?. Answer:
Obtaining info from entire population is too expensive + it is impossible
to examine every member
⩥ Cross Sectional Data. Answer: data collected by recording a
characteristic of many subjects at the same point in time, or without
regard to differences in time
, ⩥ time series data. Answer: data collected over several time periods,
focusing on certain groups of people
- can conclude hourly to annual observations
⩥ Structured Data. Answer: Data that has a defined length, type, and
format and includes numbers, dates, or strings such as Customer
Address.
***not open to interpretation
⩥ Unstructured Data. Answer: Not defined and does not follow a
specified format, tends to be textual
⩥ Big Data. Answer: a broad term for datasets so large or complex that
traditional data processing applications are inadequate.
—so we use small data sets
⩥ Variable. Answer: a characteristic or attribute that can assume
different values or degrees among various observations
⩥ Qualitive variable. Answer: A label or name was to identity
distinguishing characteristics
⩥ An example of qualitative data. Answer: Colors of Cars in parking lots
2026 QUESTIONS WITH ANSWERS GRADED
A+
⩥ inferential statistics. Answer: drawing conclusions about a population
based on sample data from that population
⩥ Population. Answer: All members of a specified group
⩥ Sample. Answer: a subset of the population
⩥ Sample Results. Answer: Sample Statistic
⩥ sample statistic. Answer: Estimates a population parameter
⩥ What are two reasons we can't use population data?. Answer:
Obtaining info from entire population is too expensive + it is impossible
to examine every member
⩥ Cross Sectional Data. Answer: data collected by recording a
characteristic of many subjects at the same point in time, or without
regard to differences in time
, ⩥ time series data. Answer: data collected over several time periods,
focusing on certain groups of people
- can conclude hourly to annual observations
⩥ Structured Data. Answer: Data that has a defined length, type, and
format and includes numbers, dates, or strings such as Customer
Address.
***not open to interpretation
⩥ Unstructured Data. Answer: Not defined and does not follow a
specified format, tends to be textual
⩥ Big Data. Answer: a broad term for datasets so large or complex that
traditional data processing applications are inadequate.
—so we use small data sets
⩥ Variable. Answer: a characteristic or attribute that can assume
different values or degrees among various observations
⩥ Qualitive variable. Answer: A label or name was to identity
distinguishing characteristics
⩥ An example of qualitative data. Answer: Colors of Cars in parking lots
