Calculate the difference between Team Jax's mean time and the competing team's time: 213.38 − 210.06 = 3.32 .
Calculate how many standard deviations the competing team's time is from Team Jax's time: 7.5 3.32 ≈ 0.44 .
Calculate the ratio of the competing team's time to Team Jax's time: 213.38 210.06 ≈ 0.98 .
The chances of Team Jax winning are lower because the competing team's time is 0.44 standard deviations from Team Jax's time, which is 0.98 of Team Jax's time. lower, 0.44, 0.98
Explanation
Understand the problem and provided data We are given that Team Jax has a mean time of 213.38 seconds and a standard deviation of 7.5 seconds. A competing team has a time of 210.06 seconds. We need to assess Team Jax's chances against the competing team.
Calculate the difference in times First, we calculate the difference between Team Jax's mean time and the competing team's time: d = Team Jax’s mean time − Competing team’s time = 213.38 − 210.06 = 3.32 So, Team Jax's mean time is 3.32 seconds slower than the competing team's time.
Calculate the number of standard deviations Next, we calculate how many standard deviations the competing team's time is from Team Jax's time: z = Team Jax’s standard deviation d = 7.5 3.32 = 0.442666... ≈ 0.44 This means the competing team's time is approximately 0.44 standard deviations better than Team Jax's mean time. Since a lower time is better, a positive z means the competing team did better than Team Jax's average.
Calculate the ratio of the times Now, we calculate the ratio of the competing team's time to Team Jax's time: r = Team Jax’s mean time Competing team’s time = 213.38 210.06 = 0.9844409... ≈ 0.98 This means the competing team's time is about 98% of Team Jax's mean time.
Assess the chances of Team Jax winning Since the competing team's time is faster than Team Jax's mean time (by 0.44 standard deviations), the chances of Team Jax winning are lower. The competing team's time is 0.44 standard deviations from Team Jax's time, which is 0.98 of Team Jax's time.
Final Answer The chances of Team Jax winning are lower because the competing team's time is 0.44 standard deviations from Team Jax's time, which is 0.98 of Team Jax's time.
Examples
In sports analytics, understanding the distribution of team performance is crucial for making predictions. By comparing a team's average performance against a specific opponent's result, we can estimate the likelihood of winning. This involves calculating how many standard deviations the opponent's result is away from the team's average and expressing the opponent's result as a ratio of the team's average, providing a comprehensive assessment of the team's chances.
Team Jax's chances of winning are lower because the competing team's time is 0.0443 standard deviations faster than Team Jax's mean time, which is 0.983 of Team Jax's time.
;