What method uses independent and dependent variables?

What method uses independent and dependent variables?

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause, while a dependent variable is the effect. In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable.

What is a representative sample quizlet?

Representative sample. A sample having essentially the same characteristics as the population. Haphazard selection or a random-based selection method can be expected to produce a sample that is representative of the population. Route.

Why do studies that use probability samples have excellent external validity?

Why do studies that use probability samples have excellent external validity? All members of the population are equally likely to be represented in the sample.

What is a representative sample and why is it important quizlet?

A representative sample has characteristics similar to the population. Representative samples are. desirable because we want our findings to generalize to the population. The average random. sample is representative of the population.

What is a characteristic of an independent variable?

The independent variable is the variable the experimenter manipulates or changes, and is assumed to have a direct effect on the dependent variable. The dependent variable is the variable being tested and measured in an experiment, and is ‘dependent’ on the independent variable.

What is dependent and independent variable in Research example?

In a study to determine whether how long a student sleeps affects test scores, the independent variable is the length of time spent sleeping while the dependent variable is the test score. The independent variable in your experiment would be the brand of paper towel.

What are representative samples?

A representative sample is a subset of a population that seeks to accurately reflect the characteristics of the larger group. For example, a classroom of 30 students with 15 males and 15 females could generate a representative sample that might include six students: three males and three females.

What type of sample is selected when we select one sample from the same population and then randomly assign the participants in the sample to two or more groups?

Choosing a representative sample is often accomplished by randomly picking people from the population to be participants in a study. Random selection means that everyone in the group stands an equal chance of being chosen. 1 Once a pool of participants has been selected, it is time to assign them into groups.

How are quota sampling and stratified sampling similar?

How are quota sampling and stratified random sampling similar? Both randomly sample subgroups to be studied. The correct answer is: Both identify subgroups that need to studied. You just studied 24 terms!

What is another term for probability sampling?

Another term for probability sampling is: random sampling.

What is a sample Why is it important for a sample to be representative?

Representative samples are important as they ensure that all relevant types of people are included in your sample and that the right mix of people are interviewed. If your sample isn’t representative it will be subject to bias.

What are three characteristics of dependent variables?

The characteristics of the dependent variables including puffing ratio, moisture content, lightness, uniformity, productivity of collets was to be studied by changing the conditions of the independent variables.

What makes a sample similar to the total population?

A sample that looks similar to the population from which it was selected in all respects that are potentially relevant to the study. The distribution of characteristics among the elements of a representative sample is the same as the distribution of those characteristics among the total population.

How are sample findings generalized to the population?

Sample reflects the characteristics of the population, so those sample findings can be generalized to the population Most effective way to achieve representativeness is through randomization; random selection or random assignment Parameter = a numerical value or measure of a characteristic of the population; remember P for parameter & population

How is the distribution of characteristics among the elements of a representative sample?

The distribution of characteristics among the elements of a representative sample is the same as the distribution of those characteristics among the total population. In an unrepresentative sample, some characteristics are overrepresented or underrepresented.

How are sample characteristics related to randomization and representativeness?

Randomization = each individual in the population has an equal opportunity to be selected for the sample. Representativeness = sample must be as much like the population in as many ways as possible. Sample reflects the characteristics of the population, so those sample findings can be generalized to the population.