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When the assumptions of normality are not met, and the sample means are not normally, distributed parametric tests can lead to erroneous results. Non-parametric tests

When the assumptions of normality are not met, and the sample means are not normally, distributed parametric tests can lead to erroneous results. Non-parametric tests (distribution-free test) are used in such situation as they do not require the normality assumption.[15] Non-parametric tests may fail to detect a significant difference when compared with a parametric test. That is, they usually have less power. As is done for the parametric tests, the test statistic is compared with known values for the sampling distribution of that statistic and the null hypothesis is accepted or rejected.

1. Would you be comfortable to term a symmetrical device as bipolar transistor?

2. Which basic region is heavily doped by bipolar transistor?

3. What kind of a delay is exhibited by bipolar transistor?

4.relate a bipolar to better I/A

5.generate a sequence for the inputs that are controlled by equal amounts of charge

6.justify/critique; gm of bipolar is less than gm of MOS.

7.regarding the tenacity of a function,how can we describe Transconductance?

8.provide the basic direction of gm when compared to lc

9.gm is ______ on input voltage Vbe.?elaborate with facts

10.is ransconductance independent or dependent of process?

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