- Classify the following statements as to whether they belong to the area of descriptive statistics or inferential statistics
___________________ 1. At most 5% of SLU students are smokers.
___________________ 2. Assuming that less than 20% of the Kalinga coffee beans were destroyed by a typhoon these past months, we should expect an
increase of no more than P30 for a kilogram of coffee by the end
of the year.
___________________ 3. An employee generalized that the average monthly salary of a regular employee in a certain company is P12,000.
___________________ 4. A study found out that all customers who have received a gift certificate from a store 75% went back to the store to shop.
___________________ 5. The average grade in statistics of 50 students is 83.60.
- At what level are the following variables measured?
_______________ 1. Students rated as superior, above average, average, below average, or poor
_______________ 2. The scores of students in a statistics quiz
_______________ 3. The main source of income
_______________ 4. The birth order of children in the family
_______________ 5. Age of students availing a discount
_______________ 6. Weights of a sample of bags of raw materials for the production of a certain product, measured in grams.
_______________ 7. The natural eye color of a sample of 100 children. _______________ 8. The economic status of a sample of families in a certain area. _______________ 9. The final grade of graduate students taking up Statistics. _______________ 10. The school in which a graduate student is enrolled in.
- Classify the following variables as quantitative or qualitative variables. If the variable is quantitative, identify whether it is discrete or continuous.
_______________ _______________ 1. The type of payment used by customers _______________ _______________ 2. The evaluation rating of instructors
_______________ _______________ 3. The classification of employees in a company
_______________ _______________ 4. The weekly allowance of students
_______________ _______________ 5. The length of telephone calls made by students to their parents
- In each of the following situations, identify the population, each variable, and determine if the variable is qualitative or quantitative.
- A quality control worker with Sweet-Tooth Candy weighs every 100th candy bar to make sure it is very close to the published weight.
- John decides to group his employees according to the type of skill possessed.
- A researcher is studying the effect of a newly formulated method in glue laminating wood. She performs an experiment where she compares the shear stress of the “gluelam” wood using the new method and commercially available “gluelam” wood. She used 10 items for each method (new and commercial).
- To assign workers to two stores, the owner has the workers count off by two to divide them into teams. Is this (team) a qualitative or quantitative variable?
- A school is studying its students’ test scores by grade. Explain how the characteristic ‘grade’ could be considered either a categorical or a numerical variable?
- Which of the following situations will result in probability or non-probability sampling?
- Population: All residents of a big city
Sampling technique: For one week, researchers stop every fourth person who passes by a busy downtown street corner.
- Population: All students in a large high school
Sampling technique: selecting the first 50 students reporting to school on a Wednesday morning.
- Population: All the 72 guests at a birthday party.
Sampling technique: The name of each person is written on a slip of paper then all are placed in a box, mixed, then drawn one after the other for the available ten door prizes.
- Population: Business owners with less than 15 employees
Sampling technique: Get information from the DTI (business permits section), then select a sample size of about 30% from each of the included 12 barangays
- In each of the following situations, a random sample must be obtained. Determine whether a cluster, stratified, or systematic random sampling would be appropriate. Explain in detail how the sampling is to be conducted. Do not discuss expected results or conclusions.