The correct solution is "Non-Probability Sampling".
Key Points
Non-probability sampling is defined as a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. It is a less stringent method. This sampling method depends heavily on the expertise of the researchers. It is carried out by observation, and researchers use it widely for qualitative research.In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included. Common non-probability sampling methods include convenience sampling, voluntary response sampling, purposive sampling, snowball sampling, and quota sampling.
Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection. Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection.
Quota sampling is defined as a non-probability sampling method in which researchers create a sample involving individuals that represent a population. Researchers choose these individuals according to specific traits or qualities.
Snowball sampling or chain-referral sampling is defined as a non-probability sampling technique in which the samples have traits that are rare to find. This is a sampling technique, in which existing subjects provide referrals to recruit samples required for a research study. For example, if you are studying the level of customer satisfaction among the members of an elite country club, you will find it extremely difficult to collect primary data sources unless a member of the club agrees to have a direct conversation with you and provides the contact details of the other members of the club.
A capacitor can hold the voltage once it is changed, hence a shunt capacitor can be used as a hold circuit in flat-top sampling.
In flat-top sampling, due to the lengthening of the sample, amplitude distortion and delay are introduced. This distortion is referred to as the aperture effect and occurs during the reconstruction of g(t) form s(t).
The high-frequency roll-off filter with transfer function H(f) acts as a Low Pass filter that alternates the upper portion of the message spectrum, resulting in the distortion of the original signal.
Aperture effect can be eliminated by using “Equalizer” in cascade with a reconstruction filter at the receiver to cancel the effect produced by the filter H(f) discussed.
The correct solution is "Non-Probability Sampling".
Key Points
Non-probability sampling is defined as a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. It is a less stringent method. This sampling method depends heavily on the expertise of the researchers. It is carried out by observation, and researchers use it widely for qualitative research.In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included. Common non-probability sampling methods include convenience sampling, voluntary response sampling, purposive sampling, snowball sampling, and quota sampling.
Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection. Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection.
Quota sampling is defined as a non-probability sampling method in which researchers create a sample involving individuals that represent a population. Researchers choose these individuals according to specific traits or qualities.
Snowball sampling or chain-referral sampling is defined as a non-probability sampling technique in which the samples have traits that are rare to find. This is a sampling technique, in which existing subjects provide referrals to recruit samples required for a research study. For example, if you are studying the level of customer satisfaction among the members of an elite country club, you will find it extremely difficult to collect primary data sources unless a member of the club agrees to have a direct conversation with you and provides the contact details of the other members of the club.
A capacitor can hold the voltage once it is changed, hence a shunt capacitor can be used as a hold circuit in flat-top sampling.
In flat-top sampling, due to the lengthening of the sample, amplitude distortion and delay are introduced. This distortion is referred to as the aperture effect and occurs during the reconstruction of g(t) form s(t).
The high-frequency roll-off filter with transfer function H(f) acts as a Low Pass filter that alternates the upper portion of the message spectrum, resulting in the distortion of the original signal.
Aperture effect can be eliminated by using “Equalizer” in cascade with a reconstruction filter at the receiver to cancel the effect produced by the filter H(f) discussed.
A continuous time signal x(t) = e^{-2t} u(t) is sampled by a train of pulses.
\({\delta _k}\left( t \right) = \mathop \sum \nolimits_{k = - \infty }^\infty \delta \left( {t - kT} \right)\). If the energy present in the sampled signal is 8 times more than the energy of x(t), the sampling frequency in Hz is ___________
The quality of a research project depends on the accuracy of the data collected and its representation to the population. There are two broad sources of errors. These are sampling errors and non-sampling errors.
1) The principal sources of sampling errors are the sampling method applied, and the sample size. This is due to the fact that only a part of the population is covered in the sample. The magnitude of the sampling error varies from one sampling method to the other, even for the same sample size. Intuitively, we know that the larger the sample the more accurate the research. In fact, the sampling error varies with samples of different sizes. Increasing the sample size decreases the sampling error.
For example, the sampling error associated with simple random sampling will be greater than stratified random sampling if the population is heterogeneous in nature.
2). Intuitively, we know that the larger the sample the more accurate the research. In fact, the sampling error varies with samples of different sizes. Increasing the sample size decreases the sampling error.