In statistics, a sample is:

A portion of the population selected for analysis

What is the advantage of using existing datasets for data collection in computer science?

C) Existing datasets are readily available and cost-effective

What is the main purpose of random sampling?

ensure every member of the population has an equal chance of being selected

What is the definition of statistics?

The study of collecting, organizing, analyzing, and interpreting data

Which of the following best describes sampling in statistics?

The process of selecting a portion of the population for analysis

What does the term "population" refer to in statistics?

The entire group of individuals or objects being studied

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Answers

1
In statistics, a sample is:
The entire group of individuals or objects being studied
A portion of the population selected for analysis
The variability within a population
Always a biased representation of the population
2
What is the advantage of using existing datasets for data collection in computer science?
D) Existing datasets are always unbiased and accurate
C) Existing datasets are readily available and cost-effective
B) Existing datasets eliminate the need for
A) Existing datasets provide real-time data streams
3
What is the main purpose of random sampling?
To increase the complexity of the sampling method
ensure every member of the population has an equal chance of being selected
To intentionally bias the selection process
To decrease the variability within the sample
4
Which of the following is a categorical variable?
B) Weight
A) Height
C) Gender
D) Temperature
5
Which data collection method involves the deliberate manipulation of variables to observe their effects?
B) Surveys
A) Observational studies
D) Data logging
C) Experiments
6
What is the definition of statistics?
D) The method of predicting future outcomes with certainty
B) The process of encrypting sensitive information
The study of collecting, organizing, analyzing, and interpreting data
C) The practice of summarizing data using descriptive measures
7
Which sampling technique ensures representation of various subgroups within the population?
Simple random sampling
Convenience sampling
cluster sampling
Stratified sampling
8
Which of the following is NOT a measure of dispersion?
A) Mean
D) Variance
C) Standard deviation
B) Range
9
Which of the following is an example of passive data collection?
B) Administering surveys
C) Monitoring website traffic
D) Performing experiments
A) Conducting interviews
10
Which of the following best describes sampling in statistics?
The process of summarizing data using descriptive statistics
The calculation of probabilities within a population
The process of selecting a portion of the population for analysis
The method of organizing data into frequency distributions
11
What does the term "population" refer to in statistics?
The entire group of individuals or objects being studied
The variability within a sample
The mean value of a sample
The sample size selected for analysis
12
Which of the following is a measure of central tendency in statistics?
B) Variance
C) Median
D) Interquartile range
A) Standard deviation
13
Which of the following is an example of non-probability sampling?
A) Simple random sampling
Convenience sampling
Stratified sampling
Cluster sampling

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