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Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.

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Q: When are two random samples dependent?
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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?

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In polling what are random samples?

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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.


How do researchers control for factors that could influence a dependent variable?

They control for these factors by using one or more of the following: random assignment, replication, naturalistic observation, and representative 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.


At a large University a simple random sample of 5 female professors is selected and a simple random sample of 10 male professors is selected The two samples are combined to give an overall sample of?

at a large university a simple random sample of 5 female proffesors is seleted and a simple random sample of 10 male professors is selected. the two samples are combine to give an overall sample of 15 professor. the overall sample is?


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.