Array Creation for Simulated TVDS Under the Null Hypothesis

How can we create an array with 10,000 simulated values under the null hypothesis?

Options:

  1. simulated_tvds = [10000] * 1000
  2. simulated_tvds = [1000] * 10000
  3. simulated_tvds = [1] * 10000
  4. simulated_tvds = [0] * 10000

Answer:

The correct array creation for simulated_tvds with 10,000 simulated values under the null hypothesis is Option 4: simulated_tvds = [0] * 10000. This creates a list of 10,000 zeros which simulates no effect or change.

Creating an array with 10,000 simulated values under the null hypothesis is essential for various statistical simulations and experiments. In this case, under the null hypothesis, we assume that there is no effect or change present in the data.

Option 4, simulated_tvds = [0] * 10000, is the correct choice for creating the array. This code will generate a list of 10,000 zeros, indicating no variation or change in the simulated values. By using zeros, we effectively simulate a scenario where the Total Variation Distance (TVD) between the observed distribution and the expected distribution under the null hypothesis is zero.

By understanding how to correctly create such arrays in statistical simulations, researchers can accurately model scenarios where no effect is present, allowing for the comparison of actual data to expected outcomes under the null hypothesis.

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