| <table><tr><td>Property group</td><td>Property Name</td><td>Description</td><td>Misc.</td><td>Note</td></tr><tr><td>Selection options</td><td>Sampling method</td><td>Select sampling method.</td><td>Required</td><td>Random Sampling, Systematic Sampling, Stratified Sampling, From the beginning, Stratified Sampling (Equal Partition)</td></tr><tr><td>Selection options</td><td>Selection status</td><td>Specify whether you want to use or exclude the extracted data.</td><td>Required</td><td>Select, Exclusion</td></tr><tr><td>Selection options</td><td>Discrete Variable</td><td>Select the discrete variable to be used as the basis for stratified sampling.</td><td/><td/></tr><tr><td>Sample size</td><td>Sample size method</td><td>Specify the method for determining the sample size.</td><td>Required</td><td>Percentage, Count.</td></tr><tr><td>Sample size</td><td>Sample size (percentage)</td><td>Set the Percentage of samples for sampling. If the calculated sample count is not an integer, it is roundest to integer</td><td/><td>real numbers from 0 to 100</td></tr><tr><td>Sample size</td><td>Sample size (Count)</td><td>Set the number(count) of samples for sampling</td><td/><td>integer</td></tr><tr><td>NOTE: Description of the sampling method. Random Extraction: Extract data randomly using tools such as random number tables. Hierarchy Extraction: Order every member of the population, extract one sample randomly, and then extract subsequent samples at fixed intervals. (Note: Only up to 50% of the total data can be sampled. Additionally, if the calculated sampling interval is not an integer, it is rounded to the nearest integer.) Stratified Sampling: Dividing the population into homogeneous subgroups and then randomly sampling from these subgroups based on their sizes.</td><td>NOTE: Description of the sampling method. Random Extraction: Extract data randomly using tools such as random number tables. Hierarchy Extraction: Order every member of the population, extract one sample randomly, and then extract subsequent samples at fixed intervals. (Note: Only up to 50% of the total data can be sampled. Additionally, if the calculated sampling interval is not an integer, it is rounded to the nearest integer.) Stratified Sampling: Dividing the population into homogeneous subgroups and then randomly sampling from these subgroups based on their sizes.</td><td>NOTE: Description of the sampling method. Random Extraction: Extract data randomly using tools such as random number tables. Hierarchy Extraction: Order every member of the population, extract one sample randomly, and then extract subsequent samples at fixed intervals. (Note: Only up to 50% of the total data can be sampled. Additionally, if the calculated sampling interval is not an integer, it is rounded to the nearest integer.) Stratified Sampling: Dividing the population into homogeneous subgroups and then randomly sampling from these subgroups based on their sizes.</td><td>NOTE: Description of the sampling method. Random Extraction: Extract data randomly using tools such as random number tables. Hierarchy Extraction: Order every member of the population, extract one sample randomly, and then extract subsequent samples at fixed intervals. (Note: Only up to 50% of the total data can be sampled. Additionally, if the calculated sampling interval is not an integer, it is rounded to the nearest integer.) Stratified Sampling: Dividing the population into homogeneous subgroups and then randomly sampling from these subgroups based on their sizes.</td><td>NOTE: Description of the sampling method. Random Extraction: Extract data randomly using tools such as random number tables. Hierarchy Extraction: Order every member of the population, extract one sample randomly, and then extract subsequent samples at fixed intervals. (Note: Only up to 50% of the total data can be sampled. Additionally, if the calculated sampling interval is not an integer, it is rounded to the nearest integer.) Stratified Sampling: Dividing the population into homogeneous subgroups and then randomly sampling from these subgroups based on their sizes.</td></tr></table> |