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Part 1 : The Central Limit Theorem 1 . 1 [ 1 pt ] Consider the population of interest to be all taxi rides taken

Part 1: The Central Limit Theorem
1.1[1 pt] Consider the population of interest to be all taxi rides taken in New York City between 2010 and 2013. The taxi rides in the dataset are a sample
of the taxi rides in the population. How many observations are in the sample? Store your answers in the variable sample_size.
In []: sample_size = None
lab
# YOUR CODE HERE
raise NotImplementedError()
In []: #hidden tests for problem 1.1 are within this cell
1.2[1 pt] What is the sample mean of tip percentage? What is the sample variance of tip percentage? Given the sample size and the sample variance, what
is the standard error of the sample mean of tip percentages?
Remember to set the ddof parameter to take in account the fact that the sample variance is calculated with the sample mean instead of the population
mean.
In []: tip_percentages = np.array(taxi['tip_percentage'])
sample_mean = None
sample_var = None
standard_error = None
# YOUR CODE HERE
raise NotImplementedError()
In []: #hidden tests for problem 1.2 are within this cell
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