EVALUATION:
I. Identification.
1. These are variables that assume only a finite number of values or as many as there are positive integers.
2. It contains only a part of the set of data in a population.
3. It is the level of measurement that classifies and categorizes data.
4. It is a set of data that consists of the totality of observations we are concerned with.
5. It is a sampling technique that divides a population into groups of the same interest or categories and then selecting a sample randomly from each group.
6. These data are characterized by numerical values.
7. It is the science of collecting, organizing, presenting, analyzing, and interpreting data. It is an essential aspect of daily life.
8. It is the level of measurement that shows some ordered or ranked relationship between several samples.
9. These are variables that assume an infinite number of values between any two specific numbers.
10. This is the level of measurement wherein variables are measured based on a set of intervals on a certain scale.
11. It is a numerical characteristic or attribute associated with the population that can assume different values.
12. It refers to a collection of observable information or facts.
13. Physical measures like mass, length, time, plane angle, energy, and electric charge belong to this level of measurement.
14. These data are characterized by categories.
15. It is a sampling technique where we randomly select groups or clusters of elements from a population and then get samples from some or all of the elements within the selected cluster.
I. Identification.
1. These are variables that assume only a finite number of values or as many as there are positive integers.
2. It contains only a part of the set of data in a population.
3. It is the level of measurement that classifies and categorizes data.
4. It is a set of data that consists of the totality of observations we are concerned with.
5. It is a sampling technique that divides a population into groups of the same interest or categories and then selecting a sample randomly from each group.
6. These data are characterized by numerical values.
7. It is the science of collecting, organizing, presenting, analyzing, and interpreting data. It is an essential aspect of daily life.
8. It is the level of measurement that shows some ordered or ranked relationship between several samples.
9. These are variables that assume an infinite number of values between any two specific numbers.
10. This is the level of measurement wherein variables are measured based on a set of intervals on a certain scale.
11. It is a numerical characteristic or attribute associated with the population that can assume different values.
12. It refers to a collection of observable information or facts.
13. Physical measures like mass, length, time, plane angle, energy, and electric charge belong to this level of measurement.
14. These data are characterized by categories.
15. It is a sampling technique where we randomly select groups or clusters of elements from a population and then get samples from some or all of the elements within the selected cluster.
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Answer:
1. A random variable is a numerical description of the outcome of a statistical experiment. A random variable that may assume only a finite number or an infinite sequence of values is said to be discrete; one that may assume any value in some interval on the real number line is said to be continuous.
2. A subset of a population is called a sub-population. If different sub-populations have different properties, so that the overall population is heterogeneous, the properties and responses of the overall population can often be better understood if the population is first separated into distinct sub-populations.
3. Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high: Nominal: the data can only be categorized. Ordinal: the data can be categorized and ranked. Interval: the data can be categorized and ranked, and evenly space.
4. A population consists of the totality of the observations with which we are concerned. A sample is a subset of observations selected from the population. A statistic is any function of the observations in a sample. It may not include any unknown parameters.
5. Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.
6. Quantitative data is measured and expressed numerically.
7. Statistics is the science of collecting, organizing, analyzing, and interpreting data.
8. Ratio
9. Discrete variables are numeric variables that have a countable number of values between any two values.
10. Interval
11. a characteristic or attribute that can assume different values
12. Qualitalive data
13. volts (?)
14. categorical data is data that is divided into groups or categories.
15. Cluster Sampling
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