Theoretical probability = 0.5
Experimental probability = 20% more = 0.6
In 50 tosses, that would imply 30 heads.
probability of 75 percent = 3/4
The term empirical means "based on observation or experiment." An empirical probability is generally, but not always, given with a number indicating the possible percent error (e.g. 80+/-3%). A theoretical probability, however, is one that is calculatedbased on theory, i.e., without running any experiments.Since there is no theory that will calculate the probability that an area will experience an earthquake within a given time frame, the 90% figure is an empirical probability, presumably based on data of major earthquakes in the San Francisco area over past years.
The experimental probability can't be predicted. If it could, then there wouldn't be any reason to do experiments. The probability of rolling a die 50 times depends on how passionately you want to see what's going to happen if you do. There are six different ways a single die can come up on each roll. So the probability of rolling any particular number between 1 and 6 on each roll is 1/6 or (16 and 2/3) percent. If it isn't, then the die isn't a fair die. The die has no memory, so the probability of any particular number is the same on every roll, even if the same number has or hasn't come up on the previous 100 or 1,000 consecutive rolls. If the probability of any outcome depends on what has come before, then the laws of probability aren't operating, and it's not an honest game.
Since the coin only has two sides, the probability of getting either heads or tails in any one toss is 1 in 2, or 50%. 50 precent chance. Everytime you toss it, 50 percent.
Yes.
Percent Error = {Absolute value (Experimental value - Theoretical Value) / Theoretical Value }*100
because of variable in the situation '
First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.Or, of course, it could be a mixture of both.First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.Or, of course, it could be a mixture of both.First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.Or, of course, it could be a mixture of both.First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.Or, of course, it could be a mixture of both.
The percentage yield is the Actual Yield divided by the Theoretical Yield, all multiplied by 100. Percentage = [(Actual)/(Theoretical)] x 100
% error = |experimental value - theoretical value|/theoretical value * 100% It is the absolute value of the differe nce betwee n the experime ntal a nd theoretical values divided by the theoretical value multiplied by 100%.
the experimental % oxygen would be lower because there would be more KCL in the simple than oxygen
Empirical
The probability is 0.48
0.63 = 0.216
Anyone can flip a coin four times so I say 100 percent probability. On the other maybe you should ask the odds of the results from four flips.
When determining the probability that two events happen at the same time, you convert the percents to decimals and then multiply the percents together. Therefore, 30 percent, or .3, times 50 percent, or .5 .3 x .5 = .15 Converting back into a percentage, the answer is 15% probability that you will get both. 10% is therefore incorrect.
The probability of 33.3 percent is 0.333.