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Q: When conducting a cluster sample it is better to have fewer clusters with more individuals when the clusters are heterogeneous.?
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What are the clusters of pecs?

what are the 3 cluster of pecs PLANNING ACHIEVEMENTS POWER


What does all the population in a certain area make up?

What I believe you are referring to is cluster sampling or cluster. In cluster sampling, the population is divided into clusters and all population members in the cluster are sampled.


What are the values cluster for all the month?

values clusters for every month is bla bla bla bla bla bla


Is cluster sampling is a type of stratified random sampling?

No. Cluster sampling and stratifed random sampling are different, though often confused. (They may, however, be used in conjunction in some sampling designs.) Both are types of random sampling.STRATIFIED sampling involves identifying a variable that will break up your population into separate homogeneous groups (homogeneous in terms of the variable you are interested in). For example, suppose you want to know about the attitudes of kids about their future. Perhaps you have reason to believe this will change with time. If you collected a sample from high schools, you could stratify by grade, giving you 4 relatively homogeneous groups: freshmen, sophomores, juniors, seniors. Then, a common approach is to sample a similar number from each group.Sometimes, though, separating the groups isn't so clear cut. Perhaps you want to stratify based on religion. You can't tell this from looking at a person. So perhaps you collect sample data and apply strata after the fact! This can be useful, but there are some statistical techniques that require equal (or nearly) sample sizes for the strata.CLUSTER sampling involves breaking your population into fairly similarly sized groups called clusters (try googling MSE for an example). But now you want each cluster to contain a heterogeneous mix of individuals. Then, you take a random selection of these clusters and completely enumerate inside of those selected clusters. The problem with cluster sampling is that the cluster has now become your sample unit, instead of individuals which is what you probably hoped. This can be used for counting species, or just for contacting certain populations like apartment dwellers, nursing home residents, etc. The clusters could be apartment buildings in a city. So instead of taking a random sample of apartment dwellers, you would actually randomly select a few of the buildings and talk to everyone inside! Often, this is much more cost efficient. :)


What is the difference between cylinder and cluster?

A cluster is a specific group of bytes, while a cylinder is the actual circular arrangement across multiple platters. Picture three circles suspended over each other, of equal size. Now divide these into quarters like a pie. Now divide them again into two circular peices. Each circle should now have 8 pieces. A 'cylinder' would be the circular area across all three circles. IE, the outer 'ring'. After that, it is divided into sectors. Sectors are then further divided into groups, called clusters. Typically clusters are 512, 1024, 2048, and 4096 bytes, but may be as large at 16 KB. A cluster is the *smallest* area of space that a file can take up individually. Meaning that if you save a file that is only 156 bytes, and your filesystem is using 16 KB clusters, you will be wasting 15.85 KB of that space! However files that span multiple clusters require data to be written. In FAT16 and FAT32, this is at the end of each cluster, a small 2-8 byte pointer to find the next cluster the file continues on. In NTFS, this is saved in the MFT (Master File Table). So if you have a 4 KB file and 512 byte clusters, it would actually take 5 clusters worth of space due to the extra data needed to store where each of the clusters are. Here's a diagram if you're having problems picturing it: http://www.helpwithpcs.com/jargon/track-sector-example.gif A 'cylinder' is multiple 'tracks' across all the platters. Like so: http://www.pctechguide.com/31HardDisk_Format.htm

Related questions

A virtual cluster consists of what kind of clusters?

A virtual cluster consists of chained clusters.


What es the meaning of cluster?

A number of things of the same kind growing together; a bunch., A number of similar things collected together or lying contiguous; a group; as, a cluster of islands., A number of individuals grouped together or collected in one place; a crowd; a mob., To grow in clusters or assemble in groups; to gather or unite in a cluster or clusters., To collect into a cluster or clusters; to gather into a bunch or close body.


What is the meaning ofcluster?

A number of things of the same kind growing together; a bunch., A number of similar things collected together or lying contiguous; a group; as, a cluster of islands., A number of individuals grouped together or collected in one place; a crowd; a mob., To grow in clusters or assemble in groups; to gather or unite in a cluster or clusters., To collect into a cluster or clusters; to gather into a bunch or close body.


What are the cluster of personal entrepreneurial competencies?

there are 3 clusters of PECs these are the Achievement Cluster, Planning Cluster and the Power Cluster


Does a frangipani grow in a cluster?

They grow in clusters.


How do you use cluster in a sentence about race?

When discussing race, you can use "cluster" to refer to the grouping of individuals with similar racial characteristics. For example, "In this diverse city, neighborhoods often cluster by race, creating pockets of different ethnic communities."


What are the clusters of pecs?

what are the 3 cluster of pecs PLANNING ACHIEVEMENTS POWER


What are synonyms of leaf-clusters?

synonym for a leaf cluster


Do balsams grow singly or in clusters?

it grow in cluster


What are career clusters for a meteorologist?

forest and weather cluster.


What is a supercuster?

A large cluster of many galaxy clusters


What are the three cluster of personal entrepreneurial characteristics?

Three clusters of personal entrepreneurial characteristics are: Achievement Cluster, Planning Cluster, and the Power Cluster