Statistical Inference We simulated age_group1 and age_group2 using two different ranges. Clearly, in this simulated example, we are using two different distributions, and we know that their mean should be statistically different. Importantly, we can safely assume that the data points are independent. Why? Because you have separately created age_group1 and age_group2. Be sure to print out the test statistics & P-value. Your task: Perform a Student's t-test to formally determine whether the arithmetic means of age_group1 and age_group2 are different. Report the test statistics and P-value. You can use scipy or statsmodel libraries for this task. If you are comfortable with the math, you can also implement the test from scratch on your own. However, you cannot use any other libraries. # YOUR CODE HERE

Statistical Inference We simulated age_group1 and age_group2 using two different ranges. Clearly, in this simulated example, we are using two different distributions, and we know that their mean should be statistically different. Importantly, we can safely assume that the data points are independent. Why? Because you have separately created age_group1 and age_group2. Be sure to print out the test statistics & P-value. Your task: Perform a Student's t-test to formally determine whether the arithmetic means of age_group1 and age_group2 are different. Report the test statistics and P-value. You can use scipy or statsmodel libraries for this task. If you are comfortable with the math, you can also implement the test from scratch on your own. However, you cannot use any other libraries. # YOUR CODE HERE

CMPTR

3rd Edition

ISBN:9781337681872

Author:PINARD

Publisher:PINARD

Chapter6: Security And Privacy

Section: Chapter Questions

Problem 18QY

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Temporal difference learning

Temporal difference learning (TD learning) is a concept in machine learning that attributes to a class of model-free reinforcement learning methods. The technique predicts a reward or quantity depending on the future values of the value function.

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Statistical Inference

We simulated age_group1 and age_group2 using two different ranges.

Clearly, in this simulated example, we are using two different distributions, and we know that their mean should be statistically different.

Importantly, we can safely assume that the data points are independent. Why? Because you have separately created age_group1 and age_group2.

Be sure to print out the test statistics & P-value.

Your task: Perform a Student's t-test to formally determine whether the arithmetic means of age_group1 and age_group2 are different. Report the test statistics and P-value.

You can use scipy or statsmodel libraries for this task. If you are comfortable with the math, you can also implement the test from scratch on your own. However, you cannot use any other libraries.

# YOUR CODE HERE

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