predict the results of genetic crosses
it made his actual results approach the results predicted by probability.
Theoretical probability is the probability of something occurring when the math is done out on paper or 'in theory' such as the chance of rolling a six sided dice and getting a 2 is 1/6. Experimental probability is what actually occurs during an experiment trying to determine the probability of something. If a six sided dice is rolled ten times and the results are as follows 5,2,6,2,5,3,1,4,6,1 then the probability of rolling a 2 is 1/3. The law of large numbers states the more a probability experiment is preformed the closer to the theoretical probability the results will be.
The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling a 3 is 1 in 6, or about 0.1667, but the experimental probability changes every time you run the experiment
In genetical experiments the principle of probability is used to predict the results at !% and 5% probability levels. If a particular character appears in 95 plants out of 100, it is considered as a significant character to be inherited. For reaching more accuracy it may be tested at 1% level.
Punnett square
This is true
Explain what the differences are in the results you have found. Include the quesion you have been trying to find the anwsers too and relate the results. Explain your prediction and state what you have found
Punnett squares, pedigrees, and genetic diagrams can be used to explain the results of genetic crosses. These tools help illustrate how genes are inherited and predict the possible outcomes of offspring based on parental traits.
this is not fair you say ask anything and when i do you only can answer half of my questions
problamatic fkljd
Empirical or experimental probability.
The probability of a result you want is (the total number of results that would satisfy you) divided by (the total number of all possible results).
Usually as a fraction or ratio. (desired results) : (all results)
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Trials or experiments.
Outcomes