Recall Exercise 1.5.34 that introduced the binomial distribution as an exact theory-based distribution to model the types of situations you have seen in Chapter 1. Two of the other dogs in the research project were Tug and Auggie. When the researcher bowed toward the cup, Tug went to the correct cup 7 out of 10 times and Auggie went to the correct cup 6 out of 10 times.

Find simulation-based, normal approximation, and exact binomial p-values based on Tug's statistic. How do they compare? Choose the best among the following statements.

Simulation-based p-value = 0.1030. Normal approximation p-value = 0.1719. Exact binomial p-value = 0.1731. The normal approximation and exact binomial p-values are close to each other.

Simulation-based p-value = 0.1719. Normal approximation p-value = 0.1731. Exact binomial p-value = 0.1030. The simulation-based and normal approximation p-values are close to each other.

Simulation-based p-value = 0.1731. Normal approximation p-value = 0.1030. Exact binomial p-value = 0.1719. The simulation-based and exact binomial p-values are close to each other.

Find simulation-based, normal approximation, and exact binomial p-values based on Auggie's statistic. How do they compare? Choose the best among the following statements.

Simulation-based p-value = 0.2635. Normal approximation p-value = 0.3770. Exact binomial p-value = 0.3755. The normal approximation and exact binomial p-values are close to each other.

Simulation-based p-value = 0.3755. Normal approximation p-value = 0.2635. Exact binomial p-value = 0.3770. The simulation-based and exact binomial p-values are close to each other.

Simulation-based p-value = 0.3770. Normal approximation p-value = 0.3755. Exact binomial p-value = 0.2635. The simulation-based and normal approximation p-values are close to each other.