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Focal Sampling: is the name given to systematic observation techniques in which the observer concentrates on just one individual.

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Are the sampling techniques the same for solid liquids and gases?

No, sampling techniques differ for solid, liquid, and gas samples. For solids, techniques like grab sampling or core sampling are commonly used. Liquids can be sampled using methods like grab sampling, pump sampling, or composite sampling. Gases are typically sampled using techniques like grab sampling, passive sampling, or active sampling using pumps or sorbent tubes.


If the primary mirror of a telescope have a focal length of 225 centimeters and the eyepiece has a focal length of 7.5 millimeters then what is the magnifying power of the telescope?

The magnifying power of a telescope is the focal length of the scope in millimeters, divided by the focal length of the eyepiece in millimeters. Focal length of scope: 225cm=2250mm Focal length of eyepiece: 7.5mm 2250/7.5= 300X


What will decreasing a telescope's eyepiece focal length?

The magnification of the telescope image is(focal length of the objective) divided by (focal length of the eyepiece).The focal length of the objective is fixed.Decreasing the focal length of the eyepiece increases the magnification of the image.(But it also makes the image dimmer.)


What is the focal length of a telescope's mirror if I use an eyepiece with a focal length of 26 mm and I get a magnification of 70x?

The focal length of the telescope's mirror can be calculated using the formula: Telescope focal length = Eyepiece focal length × Magnification = 26 mm × 70x = 1820 mm Therefore, the focal length of the telescope's mirror would be 1820 mm.


What would be the magnification of a telescope with a focal length of 3000 millimeters using an eyepiece of focal length equal to 15 mm?

The magnification of a telescope is calculated by dividing the focal length of the telescope by the focal length of the eyepiece. In this case, the magnification would be 3000 mm (telescope focal length) divided by 15 mm (eyepiece focal length), which equals a magnification of 200x.

Related Questions

What are the various kind of sampling?

They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.


Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.


What is sampling in research?

Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.


Is convenience sampling method not a random sampling?

You are correct; convenience sampling is not random sampling.


Define the four different sampling techniques?

1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling


What are the sources of sampling errors?

Sampling and Non sampling errors


What is the difference between quota sampling and cluster sampling?

What is the difference between quota sampling and cluster sampling


What type of sampling (sample strategy) is it when I am sampling employees from different organizations?

Convenience sampling or quota sampling


Mention different types of sampling in statistics.?

Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling


What sampling method?

Random Sampling


What is a dry sampling?

What is a dry sampling?


How many types of random sampling?

There are several types of random sampling, with the most common being simple random sampling, stratified sampling, cluster sampling, and systematic sampling. Simple random sampling gives each member of the population an equal chance of being selected. Stratified sampling involves dividing the population into subgroups and sampling from each subgroup. Cluster sampling selects entire groups or clusters, while systematic sampling involves selecting members at regular intervals from a randomly ordered list.