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In polling what are random samples?
fg
Why are random samples hard to obtain?
Cus
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
Would the resulting sets of data represent dependent or independent samples?
dependent. because this set of numbers is dependent on what is put into the data table.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
When are two samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
When are two random samples independent?
z test
In polling what are random samples?
fg
Will all random samples from a given population have the same mean?
Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
Why are random samples hard to obtain?
Cus
What are the characteristics of heterogeneous mixtures?
A heterogeneous mixture has two or more distinct phases with different characteristics. Because of this, two random samples of a heterogeneous mixture may have different compositions. For example, the phases in mud are the water and soil particles, which remain distinct from one another. These phases are not necessarily visible, but may exist as microscopic clusters or particles. By contrast in a homogeneous mixture any two random samples will be identical.
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
Comparing the means of two normal distribution?
You can compare the means of two dependent or independent samples. You can also set up confidence intervals. For independent samples you test the claim that the two means are not equal; the null hypothesis is mean1 equals mean2. The alternative hypothesis is mean1 does not equal mean2. For dependent (paired) samples you test the claim that the mean of the differences are not equal; the null hypothesis is the difference equals zero; the alternative hypothesis is the difference does not equal zero.
What type of sampling produces representative samples?
random sampling
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
Would the resulting sets of data represent dependent or independent samples?
dependent. because this set of numbers is dependent on what is put into the data table.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
