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EastWind [94]
3 years ago
13

What is SATYAGRAHA? How is it related with "AHIMSA"(Non-violence)?​

Social Studies
1 answer:
elixir [45]3 years ago
5 0

Answer:

Explanation:

Satyagraha - a policy of passive political resistance, especially that advocated by Mahatma Gandhi against British rule in India.

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How can we commercialize and modernize agriculture?​
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8 0
2 years ago
The most important characteristic of an entity is its _____ key, used to uniquely identify each entity instance.
pogonyaev

The most important characteristic of an entity is its primary key, used to uniquely identify each entity instance.

<h3>What is primary key?</h3>

A column, or group of columns, known as a primary key in a table uniquely identifies each row of data. For instance, CustomerNo, which displays the ID numbers assigned to individual customers.

The primary key of a relational database, often called the primary keyword, is a key that is unique to each entry. It is a unique identification number, much like the ones on a driver's license, phone with an area code, or car (VIN). A relational database's primary key must always be distinct.

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8 0
1 year ago
Even if a treatment is effective in the real world (it has an effect), it is still possible to obtain a sample mean that is so s
notka56 [123]

Answer:

fail to reject the null hypothesis and make a type II error

Explanation:

Even if a treatment is effective in the real world (it has an effect), it is still possible to obtain a sample mean that is so similar to the population mean that the sample mean doesn't fall in the critical, or rejection, region. If this happens, you are likely to <u>fail to reject the null hypothesis and make a type II error</u>.

Since that sample mean is so similar to the population mean, the treatment effect may not be detected on analysis even though it is infact significant, this will cause the research to erroneously concluded that the treatment effect is zero and accept the null hypothesis when it is actually not zero. This is a type II error. Type II error in statistics means the non-rejection of a false null hypothesis and type I error is the rejection of a correct null hypothesis.

5 0
2 years ago
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