To play a game, you spin a spinner like the one shown.you win if the arrow lands in one of the areas marked win.lee played this game many times and recorded her results. She won 8 times and lost 40 times. Use lees data to explain how to find the experimental probability of winning this game.
p = 8/(8+40) = 8/48 = 1/6.
To find the experimental probability of winning the game based on Lee's data, you need to divide the number of times she won by the total number of trials. In this case, the total number of trials would be the sum of the times Lee won and the times she lost.
According to the given information, Lee won 8 times and lost 40 times. To find the total number of trials, you need to add these two numbers together:
Total number of trials = 8 (number of wins) + 40 (number of losses) = 48
After you have the total number of trials, you can find the experimental probability of winning by dividing the number of wins by the total number of trials:
Experimental probability of winning = Number of wins / Total number of trials = 8 / 48 = 1/6
Therefore, based on Lee's data, the experimental probability of winning this game is 1/6 or approximately 0.167.
To find the experimental probability of winning the game using Lee's data, you need to divide the number of times Lee won by the total number of times she played the game.
In this case, Lee won 8 times and played the game a total of 8 + 40 = 48 times (remember that she won 8 times and lost 40 times).
Therefore, the experimental probability of winning the game is calculated by dividing the number of wins (8) by the total number of trials (48):
Experimental Probability of Winning = Number of Wins / Total Number of Trials
Experimental Probability of Winning = 8 / 48
Simplifying this fraction, you get:
Experimental Probability of Winning = 1 / 6
So, the experimental probability of winning this game based on Lee's data is 1/6 or approximately 0.1667, which means that on average, Lee won the game about 1 out of every 6 times she played.