What do you call a measurable characteristic about an entire population?

1 adj If you describe something as measurable, you mean that it is large enough to be noticed or to be significant. FORMAL usu ADJ n.

Which of the following quality characteristics are measurable?

Reliability: Maturity, fault endurance and recovery. Usability: Understandability, learnability and operability. Performance: efficiency or time behavior in performing the processes and best use from resource behavior. Maintainability: analyzability, changeability, stability and testability.

What are the measurable characteristics of the population?

A measurable characteristic of a population, such as a mean or standard deviation, is called a parameter; but a measurable characteristic of a sample is called a statistic.

What does it mean if a goal is measurable?

Measurable: With specific criteria that measure your progress toward the accomplishment of the goal. Achievable: Attainable and not impossible to achieve. Realistic: Within reach, realistic, and relevant to your life purpose.

What does the word measurable means?

1 : capable of being measured : able to be described in specific terms (as of size, amount, duration, or mass) usually expressed as a quantity Science is the study of facts—things that are measurable, testable, repeatable, verifiable.—

What is the antonyms of measurable?

measurable. Antonyms: absolute, boundless, countless, eternal, illimitable, immeasurable, infinite, innumerable, interminable, limitless, measureless, numberless, unbounded, unconditioned, unfathomable, unlimited, unmeasured.

What name is given to describe the characteristics of product that can be measured on a continuously variable scale eg length diameter weight or time )?

This produces variable (continuous) data. Variables control charts are used to evaluate variation in a process where the measurement is a variable–i.e. the variable can be measured on a continuous scale (e.g. height, weight, length, concentration). There are two main types of variables control charts.

What is measurable quality?

To express its performance in quantitative terms and thus to describe, measure, improve, guarantee and certify such an item, it is necessary to establish the characteristics of reliability, availability, maintainability and maintenance support performance.

What is a summary measure that is computed to describe a characteristic of an entire population called?

A parameter is a summary measure that is computed to describe a characteristic of an entire population.

What is meant by sampling method?

Sampling is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population. The methodology used to sample from a larger population depends on the type of analysis being performed, but it may include simple random sampling or systematic sampling.

What are characteristics meaning?

Characteristic(adj) pertaining to, or serving to constitute, the character; showing the character, or distinctive qualities or traits, of a person or thing; peculiar; distinctive. Characteristic(noun) a distinguishing trait, quality, or property; an element of character; that which characterized.

Which is the best synonym for the word characteristic?

Synonym Discussion of characteristic. characteristic, individual, peculiar, distinctive mean indicating a special quality or identity. characteristic applies to something that distinguishes or identifies a person or thing or class. responded with her characteristic wit.

What is the definition of the characteristic number?

characteristic(Noun) The minimum number of times that the unit of a field must be added unto itself in order to yield that field’s zero, or, if that minimum natural number does not exist, then (the integer) zero. Origin: From χαρακτηριστικός, from χαρακτηρίζω, from χαρακτήρ.

What does Charateristics mean?

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The study of statistics revolves around the study of data sets. This lesson describes two important types of data sets - populations and samples. Along the way, we'll introduce simple random sampling, the main method used in this tutorial to select samples.

Note: Your browser does not support HTML5 video. If you view this web page on a different browser (e.g., a recent version of Edge, Chrome, Firefox, or Opera), you can watch a video treatment of this lesson.

Population vs Sample

The main difference between a population and sample has to do with how observations are assigned to the data set.

• A population includes all of the elements from a set of data.
• A sample consists one or more observations drawn from the population.

Depending on the sampling method, a sample can have fewer observations than the population, the same number of observations, or more observations. More than one sample can be derived from the same population.

Other differences have to do with nomenclature, notation, and computations. For example,

• A measurable characteristic of a population, such as a mean or standard deviation, is called a parameter; but a measurable characteristic of a sample is called a statistic.
• We will see in future lessons that the mean of a population is denoted by the symbol μ; but the mean of a sample is denoted by the symbol x.
• We will also learn in future lessons that the formula for the standard deviation of a population is different from the formula for the standard deviation of a sample.

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What is Simple Random Sampling?

A sampling method is a procedure for selecting sample elements from a population. Simple random sampling refers to a sampling method that has the following properties.

• The population consists of N objects.
• The sample consists of n objects.
• All possible samples of n objects are equally likely to occur.

An important benefit of simple random sampling is that it allows researchers to use statistical methods to analyze sample results. For example, given a simple random sample, researchers can use statistical methods to define a confidence interval around a sample mean. Statistical analysis is not appropriate when non-random sampling methods are used.

There are many ways to obtain a simple random sample. One way would be the lottery method. Each of the N population members is assigned a unique number. The numbers are placed in a bowl and thoroughly mixed. Then, a blind-folded researcher selects n numbers. Population members having the selected numbers are included in the sample.

In practice, the lottery method described above can be cumbersome, particularly with large sample sizes. As an alternative, use Stat Trek's Random Number Generator. With the Random Number Generator, you can select up to 10,000 random numbers quickly and easily. The Random Number Generator can found in the Stat Trek main menu under the Stat Tools tab. Or you can tap the button below.

Sampling With Replacement and Without Replacement

Suppose we use the lottery method described above to select a simple random sample. After we pick a number from the bowl, we can put the number aside or we can put it back into the bowl. If we put the number back in the bowl, it may be selected more than once; if we put it aside, it can selected only one time.

When a population element can be selected more than one time, we are sampling with replacement. When a population element can be selected only one time, we are sampling without replacement.

Test Your Understanding

Problem 1

Which of the following statements are true?

I. The mean of a population is denoted by x.II. Sample size is never bigger than population size.

III. The population mean is a statistic.

(A) I only.(B) II only.(C) III only.(D) All of the above.

(E) None of the above.

Solution

The correct answer is (E), none of the above.

The mean of a population is denoted by μ; the mean of a sample is denoted by x. When sampling with replacement, sample size can be greater than population size. And the population mean is a parameter; the sample mean is a statistic.

If you would like to cite this web page, you can use the following text:

Berman H.B., "Populations and Samples", [online] Available at: https://stattrek.com/sampling/populations-and-samples URL [Accessed Date: 8/2/2022].