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Svetach [21]
2 years ago
7

Why do u think the Mughal Empire declined after the death of Aurangzeb in 1707?

Social Studies
1 answer:
seraphim [82]2 years ago
5 0

Answer:

After death of Aurangzeb, the Mughal empire became weaker and was done and dusted by 1764, after the battle of buxar. Though, Mughal emperors did try, but their rules extended till the boundary of red fort, untill it was extinguished formally by British in 1857.

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The corrections system is vast and costs federal, state, and local governments:
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I assume you're asking how much money it costs the government. It costs them around 215 billion dollars each year. This money is spent on correctional facilities. It is also spent on paying employees. It is spent on a vast majority of other things as well.
3 0
3 years ago
Dr. Carmine is lecturing parents about crying and the well-being of young infants. Which statement should she make
Harman [31]

The correct answer to this open question is the following.

Although there are no options we can say the following.

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7 0
3 years ago
Explain the difference between personal fulfillment and personal satisfaction as an entrepreneurial motivation.
Rainbow [258]

Answer:

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The difference between personal fulfillment and personal satisfaction is:

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6 0
3 years ago
Dysfluency or post-reinforcement pauses may occur when a student is on a ______________________ schedule of reinforcement.
PilotLPTM [1.2K]
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4 0
3 years ago
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jekas [21]

Answer:

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Explanation:

The alfa error or type I, refers to the probability error of rejecting the null hypothesis, when it is true, it is the chance of mistake when affirming that an association exists between two variables tested as a cause of an effect on something. i.e: H1: fast food is responsible for diabetes (this is working hypothesis), H0: red hair is responsible for diabetes (this is the null hypothesis). The beta error or type II is related to the size of the sample, it is the chance of accepting something (the null hypothesis) when it is false, depends mostly on having enough measures (or persons under study) so your hypothesis can be proven and be a real representation of the population under study. The statistical significance, namely the p value, can be narrow (p=0.01) or wide (p=0.05), it can be easily understand if we explain it in terms of percentage: you can have 99% (p=0.01) of certainty to affirm that the null hypothesis (the one that you do not believe is true, in the example, red hair as cause of diabetes) is actually wrong or 95% (p=0.05) of certainty to affirm that the null hypothesis (again, the one that you do not believe is true) is actually wrong.

4 0
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