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lubasha [3.4K]
3 years ago
10

I GIVEEEEEEE BRAINLISTT5TTT

Mathematics
2 answers:
Cloud [144]3 years ago
5 0

Answer:

srrrrrrrrrrrrryyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy

Step-by-step explanation:

mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamamammnnnnnannnnnnnnnnnnnnnananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananananaaaanaannnnanananananananananananananananananananananananananananaa

kompoz [17]3 years ago
4 0

Answer:

G

Step-by-step explanation:

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The normality requirement for a confidence interval estimate of sigma is (stricter) than the normality requirement for a confidence interval estimate of mu. Departures from normality have a (greater) effect on confidence interval estimates of sigma than on confidence interval estimates of mu. That is, a confidence interval estimate of sigma is (less)

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0.03 compare to 0.003

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