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A complete simulation of an event has already been written and run for you. The simulation is of spinning two wheels each with all of the numbers 1 through 16. Each spin in stored as a row (observation) in the DataFrame df under the columns wheel1 and wheel2. Using the simulation results in df, find an estimate of the probability that you get at least one value less than 6 and the second value is greater than 6.

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Using the pandas library in python for creating dataframes, the required expression to calculate the required probability is [tex] \frac{len(reqout)}{len(df)}[/tex]

  • df = dataframe which holds the entire data

  • wheel1 = column for the values of wheel 1

  • wheel2 = columns for the values of wheel 2

Subsetting columns using pandas :

Rows where wheel 1 is less than 6 ;

  • (df['wheel1'] < 6)

Rows where wheel 2 is greater than 6 ;

  • (df['wheel2'] > 6)

Combining the two conditions :

(Wheel < 6 and wheel 2 > 6)

  • ((df['wheel1'] < 6) & (df['wheel2'] > 6))

Subsetting the condition into the entire dataframe ; such that we have the required outcome

  • reqout = df[((df['wheel1'] < 6) & (df['wheel2'] > 6))]

Recall :

  • Probability = [tex] \frac{required\:outcome}{Total\:possible\:outcomes}[/tex]

To obtain the number of each outcomes, we use the len function, which gives the length of observations in a dataframe.

P(at_least_6_or_greater_than_6) = [tex] \frac{len(req_out)}{len(df)}[/tex]

Therefore, expression for the estimate of the probability is [tex] \frac{len(reqout)}{len(df)}[/tex]

Learn more :https://brainly.com/question/18405415

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