Math, asked by Raj7355, 3 days ago

A statistical test does not accept the null hypothesis, but either rejects or fails to reject it. Imagine that you generated a dataset made of 1000 data samples, using a random number generator for a normally distributed random variable. Now imagine that you use a statistical test to check how well the generated dataset conforms to a normal variable. Unexpectedly, the test rejects the null hypothesis that the data actually comes from a normal distribution. Given that you know that the data should be normally distributed, the null hypothesis is true. Give two strategies that you would consider to modify the outcome of the statistical test and explain why you believe these strategies work?

Answers

Answered by ay8076191
0

Answer:

hlo mate here's your answer

25× 100 = 2500

i hope its help you mark as brainlist plz

Answered by saneh407
0

Answer:

25×100 = 125

Hope it will help you

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