[ASF] Homework: Chapter 1
Homework Chapter 1: Applied Statistics for Business and Economics
MBA at NUM (Cambodia), Room: 15F, Group 12, 5:30 PM – 8:30 PM
Reference: Miss. Eng Channy
5- Descript your own words difference between population and sample.
Population: A population is the entire collection of all
observations of interest to the researcher.
Sample: is a representative portion of the population which
is selected for study because the population is too large examined in its
6- The difference between Qualitative and Quantitative
Qualitative variables are measured nonnumeric ally
Ex: Hair color, Sex, Race,
Quantitative variables are measure numerically
Ex: Age, Height, Weight,
7- The difference continuous variables and discrete.
Discrete variable is restricted to certain values, usually whole
Ex: number of children, a
number of credits of a course of study.
Continuous variables are ones that can
take on any value without a given range.
Ex: number of population
in city, height, times……
9- The difference between descriptive and inferential statistics.
Descriptive statistics are the process of collecting, organizing, and
presenting data in some manner that quickly and easily describes these data.
Inferential statistics involves the uses of a sample to draw some
inference, or conclusion, about the population from which that sample was
11- Select population and Qualitative and Quantitative
Population: A number of government officials in Cambodia
– Marital Status
– Place of Birth
– Numbers of Children
– Everyday expense
12- Statistics are actually interested in populations, but they generally work with samples
– Populations are too large to examine
– We do waste a lot of resources like money and time to conduct the research.
– Samples also help the researches to draw the result for population.
- Number of courses students at your school is taking this semester.
- Number of books your read last year.
- The weight of Tim Browns teammates.
- Weight of the contents of cereal boxes.
14- Sampling error is the difference between the unknown population parameters. The sources cause sampling error:
– Mere change in the sampling process
– Sampling bias that occurs when there is some tendency in the sampling process to select certain sample elements over others.