Researchers gather data from a small part of the population called?

The process of selecting samples is called

A statistical error that occurs when an analyst does not select a sample that represents the entire population of data.

Occurs when a researcher understand who to survey.

occurs when the survey is self-directed, or when only those participants who are interested in the survey respond to the questions

Occurs when a sample is selected from the wrong population data.

Occurs when a useful response is not obtained from the surveys because researchers were unable to contact potential respondents

A sampling procedure where every element of a population is given an equal chance of being selected as a member of sample

A sampling procedure in which element of the population is not given an equal chance of selected sample.

What are the types of sampling errors?

In data gathering, information is usually taken from a sample. The number of samples is determined by using the?

Two types of sampling techniques

What are four types of probability sampling?

A sampling technique in which every element of population has the same probability of being selected for inclusion in the samp

Is random sampling technique in which a list of elements of the population is used as a sampling frame and the elements to be included in the desired sample are selecting by skipping through the list at regular intervals.

Is a random sampling method that divides a population into different homogenous subgroup called strata.

This type of random sampling is also called area sampling because it is usually used on geographical basis.

What are four types of Non-Probability sampling?

Selecting a participant because they are often readily and easily available.

A strategy in which particular settings, persons, or events are selected deliberately in order to provide information that cannot be obtained from other choices.

A non-random sampling technique in which participants are chosen on basis of predetermined characteristics

A non-random sampling method that uses a few cases to help encourage other cases to take part in the study, thereby increasing sample size.

A number describing a whole population.

A number describing a sample.

The most widely used measures of central tendency it is calculated by adding the values of the observations and dividing the total number of observations

a set of observations arranged inincreasing or decreasing order of magnitude is the middle value when the number of observation is odd or the arithmetic mean of two values when the number of observation is even.

A set of observations is the value which occurs most often or with the highest frequency. It is least used method

set of data has no mode

set of data contains one mode only

set of data contains two modes.

set of data contains three modes.

set of data contains four or more modes

Are data formed by aggregating individual observations of a variable into groups, so that the frequency distribution of these groups serves as a convenient means of summarizing or analyzing the data.

Assumption about the population parameter that may or may not be true.

Statistical method that is applied to experimental data to make statistical decisions.

A claim denoting “absence” of relationship, difference, or effects. Claim “equality” of certain values (population parameter)

A claim denoting “presence” of relationship, difference, or effects. Claim “inequality” of certain values (population parameter)

Types of hypothesis testing