The subset of the population selected for study is called:
A. Parameter
B. Sample
C. Statistic
D. Variable
Sample
. If a researcher studies all employees of a company, they are studying the:
A. Sample
B. Population
C. Statistic
D. Parameter
Population
Which of the following is NOT an example of descriptive statistics?
A. Mean test score of students
B. Bar graph of ages
C. Pie chart of favorite colors
D. Predicting the outcome of an election
Predicting the outcome of an election
Which of the following is an example of inferential statistics?
A. Drawing a histogram
B. Computing the average age of a sample
C. Estimating the average age of the entire population from a sample
D. Listing the number of males and females in a group
Estimating the average age of the entire population from a sample
In statistics, the symbol “n” usually represents:
A. Population size
B. Sample size
C. Parameter value
D. Variable
Sample size
Which of the following sets is infinite in nature?
A. A class of 30 students
B. All teachers in a school
C. The set of all stars in the universe
D. All books in a library
The set of all stars in the universe
Which of the following best illustrates inferential statistics?
A. The average height of 50 students is 160 cm
B. Predicting that the average height of all students in the school is 160 cm based on 50 students
C. Drawing a bar graph of student heights
D. Listing student IDs
Predicting that the average height of all students in the school is 160 cm based on 50 students
A complete set of all items under investigation is called:
A. Sample
C. Variable
B. Population
D. Statistic
Population
Making decisions and drawing conclusions about a population
A company wants to know the average salary of its employees. It randomly checks the salaries of 100 employees and finds an average of $40,000. This average is a:
A. Parameter
C. Variable
B. Statistic
D. Population
Statistic
A government agency publishes the unemployment rate of the entire country. This unemployment rate is a:
A. Parameter
B. Statistic
C. Sample
D. Variable
Parameter
A school principal surveys 50 students about cafeteria food satisfaction. The percentage satisfied is an example of:
A. Parameter
B. Statistic
C. Population
D. Variable
Statistic
A marketing firm predicts that 65% of all customers will buy a product based on a survey of 500 customers. This prediction is an example of:
A. Descriptive statistics
B. Inferential statistics
C. Parameter estimation only
D. Population analysis
Inferential statistics
Which of the following tools is commonly used in descriptive statistics?
A. Hypothesis testing
B. Regression analysis
C. Tables, charts, and graphs
D. Confidence intervals
Tables, charts, and graphs
Which of the following tools is commonly used in inferential statistics?
A. Pie charts
B. Frequency tables
C. Hypothesis testing and regression
D. Bar graphs
Hypothesis testing and regression
The mean, median, and mode are examples of tools used in:
A. Descriptive statistics
B. Inferential statistics
C. Predictive statistics
D. Sampling design
Descriptive statistics
Which tool would be most suitable for testing whether a new drug is more effective than the existing one?
A. Pie chart
C. Hypothesis testing
B. Histogram
D. Frequency table
Hypothesis testing
A boxplot is an example of a tool used in:
A. Descriptive statistics
B. Inferential statistics
C. Regression analysis
D. Hypothesis testing
Descriptive statistics
Which tool is most appropriate for estimating population parameters from a sample?
A. Graphs and charts
B. Confidence intervals
C. Frequency distribution
D. Boxplot
Confidence intervals
A teacher computes the average score of her class and displays it in a bar graph. This is an example of
A. Descriptive statistics
B. Inferential statistics
C. Regression
D. Probability
Descriptive statistics
A govemment agency reports that the average household incorne is P30,000 based on a survey. The P30,000 is obtained using:
tial
A. Descriptive statistics
B. Inferential statistics
C. Regression analysis
D. Data visualization
Descriptive statistics
An engineer uses regression analysis to forecast future energy demand. This is an application of:
A. Descriptive statistics
B. Inferential statistics
C. Graphical tools
D. Frequency analysis
Inferential statistics
A company wants to know if there is a significant difference in sales before and after a new advertisement campaign. The appropriate tool is:
his
A. Pie chart
B. Mean calculation
C. Hypothesis testing
D. Histogram
Hypothesis testing
A researcher presents survey results in the form of pie charts and frequency tables. This is an example of:
A. Descriptive statistics
B. Inferential statistics
C. Regression analysis
D. Correlation
Descriptive statistics