Question: Refer to the data set gravity.csv. Generate 1000 bootstrap samples. Let (mu) represent the population mean measurement of the acceleration due to gravity. Using the
Refer to the data set gravity.csv. Generate 1000 bootstrap samples. Let \(\mu\) represent the population mean measurement of the acceleration due to gravity. Using the bootstrap data you generated, can you reject the null hypothesis \(H_{0}: \mu<-20\) ? (Units are deviations from a base value of approximately \(9.8 \mathrm{~m} / \mathrm{s}^{2}\) in units of \(10^{-8} \mathrm{~m} / \mathrm{s}^{2}\).)
Gravity Data Set:
This data set contains 200 measurements of the acceleration due to gravity made in a certain location. The data set contains deviations of the measurements from a base value of approximately \(9.8 \mathrm{~m} / \mathrm{s}^{2}\), in units of \(10^{-8} \mathrm{~m} / \mathrm{s}^{2}\). There is only one variable in this data set:
Gravity Acceleration due to gravity, expressed as the deviation from base value in units of \(10^{-8} \mathrm{~m} / \mathrm{s}^{2}\)
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Understood Lets work through this stepbystep 1 Load the gravity data set python import pandas as pd ... View full answer
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