Q: What is dependent sample?

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In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.

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

What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.

The first marble is the independent event because its probability is only based on the sample space of the bag. The second marble is the dependent event because its probability is based on the sample space of the bag which has now been changed by the first marble.

Data gathered in two different samples in such a way that there is a matching of the first sample data drawn and a corresponding data value in the second sample data. For example, compare two sample means, one for the first exam of the semester and the second for the second exam of the semester, match via the student taking each test.

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In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.

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

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

there is a matching of the first sample data drawn and a corresponding data value in the second sample data.

Because the hardness is not dependent to the size of a material sample.

This depends for intensive (not dependent of mass) and extensive (dependent of mass) properties.

What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.

The first marble is the independent event because its probability is only based on the sample space of the bag. The second marble is the dependent event because its probability is based on the sample space of the bag which has now been changed by the first marble.

Density is an intensive property - not dependent on the mass.

The tissue sample is most likely cancerous. Cancer cells often lose the ability to exhibit density-dependent inhibition, which is a characteristic feature of normal cells that regulate their growth based on the availability of space. Loss of density-dependent inhibition is a hallmark of cancer cells, allowing them to continue dividing uncontrollably without regard to surrounding cells.

Hi ...Can you please help me with a dummy applications form for dependent pass as i need to fill the same & dont want to make any errors.. Thanks......

Data gathered in two different samples in such a way that there is a matching of the first sample data drawn and a corresponding data value in the second sample data. For example, compare two sample means, one for the first exam of the semester and the second for the second exam of the semester, match via the student taking each test.