Python and Statistics for Financial Analysis

Quiz 3 of Python and Statistics for Financial Analysis

ByAdmin September 4, 2021

Population can always be directly observed

Parameters from population is always the same as statistics from sample

Sample is a subset of population which is randomly draw from population

The size of population is always finite

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Question 2

You have a DataFrame called ‘data’ which has only one column ‘population’.

How to draw sample with sample size =5, from a ‘population’ with replacement?

(Hint: You can modify the code illustrated in the Jupyter Notebook “Population and Sample” after Lecture 3.1)

1 point

1 data[‘population’].sample(5, replace=True)

1 data[‘population’].sample(10)

1 data[‘population’].sample(5)

1 data[‘population’].sample(5, replace=False)

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The degrees of freedom in sample variance is constrained by the sample mean

The extreme value in the sample is removed for fair analysis

Only n-1 values in the sample is useful

None of the above

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The distribution of sample mean follows normal distribution only if the population distribution is normal

The distribution of sample mean follows normal distribution with any sample size only if the population distribution is normal

The distribution of sample mean follows normal distribution with very large sample size follows normal distribution regardless of the population distribution

The distribution of sample mean with large sample size follows chi-square distribution regardless of the population distribution

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Remains the same even X1, X2 and X3 are added up

Mean and variance of X1, X2 and X3 are added up

Mean remains unchanged; variances are added up.

Mean remains unchanged; variance takes 3 square root.

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Sample mean becomes normally distributed after standardization

Sample mean becomes population mean after standardization

The standardized distribution of sample mean follows N(0,1) which is easier to make inference

None of the above

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With 95% chance your daily return falls into this interval

With 95% chance this interval will cover the mean of daily return

With 5% chance your daily return falls into this interval

None of the above

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[-0.000015603, 0.001656]

[0.0001690, 0.001471]

[-0.0001690, 0.001471]

[0.000015603, 0.001656]

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p value is larger than α

p value is smaller than α

z < z_(1-α)

z > z_(1-α)

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There is 95% chance of which the mean return of this stock is negative

We must lose money by investing in this stock

There is only 5% chance of which the mean return of this stock is negative

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