Adjectives For Probability
Discover the most popular adjectives for describing probability, complete with example sentences to guide your usage.
Updated on March 16, 2024
Choosing the right adjective to pair with 'probability' can significantly alter the meaning and tone of a sentence. For example, 'high probability' suggests a strong likelihood of an event occurring, instilling confidence or anticipation. Conversely, 'low probability' introduces doubt or dismissiveness about the event's chances. Using 'conditional probability' implies a specific context or criteria, adding a layer of complexity. Phrases like 'higher probability' or 'greater probability' are comparative, often used in discussions about risk or chance, indicating a shift in likelihood. 'Equal probability' suggests fairness or uniformity in outcomes, evoking a sense of balance. Every adjective brings its own shade of meaning, enriching the conversation about possibilities. Explore the full spectrum of adjectives associated with 'probability' below.
| high | There is a high probability that the weather will be nice tomorrow. |
| low | The low probability of this event happening was predicted by the model. |
| conditional | The conditional probability of event B given event A is denoted as P(B|A). |
| higher | The higher probability of success makes the investment more appealing. |
| greater | The greater probability of rain made the match uncertain. |
| equal | Each of the six sides of the cube has equal probability of landing face up. |
| strong | There is a strong probability that the weather will be nice tomorrow. |
| subjective | The subjective probability of this event is quite high. |
| prior | The prior probability is a fundamental concept in probability theory and statistics. |
| highest | Rainfall has the highest probability of occurring in March. |
| reasonable | The outcome has a reasonable probability of occurring. |
| lower | The lower probability of rain made us decide to go for a walk. |
| human | Human probability is a measure of the likelihood that a particular event will occur. |
| posterior | The posterior probability was calculated using Bayes' theorem. |
| cumulative | The cumulative probability of this event occurring is less than 1%. |
| statistical | The statistical probability of success is very low. |
| total | The total probability of an event is the sum of the probabilities of all the mutually exclusive events that make up the event. |
| certain | The predicted value has a certain probability of being correct. |
| joint | The joint probability of two events is the probability that both events occur. |
| priori | The a priori probability of a hypothesis is the probability assigned to it before any evidence is considered. |
| positive | There is a positive probability that the outcome will be favorable. |
| much | There is much probability that it will rain tomorrow. |
| average | The outcome of the experiment has an average probability |
| relative | Let's estimate the relative probability of the occurrence. |
| overall | The overall probability of winning is 50%. |
| mathematical | The mathematical probability of rolling a six on a six-sided die is one in six. |
| greatest | The result with the greatest probability is the most likely to occur. |
| finite | |
| maximum | The maximum probability of the event occurring is 0.95. |
| antecedent | The antecedent probability of the hypothesis is 0.5. |
| less | The less probability of success, the more I try. |
| objective | The objective probability of an event is the likelihood of it occurring based on statistical data and not subjective beliefs. |
| corresponding | The corresponding probability of the event is 0.5. |
| initial | The initial probability of the event is 0.25. |
| constant | |
| exact | The exact probability of getting two heads when flipping two coins is 25%. |
| actual | The actual probability of winning the lottery is very low. |
| least | |
| posteriori | The posteriori probability of the hypothesis is given by Bayes' theorem. |
| theoretical | The theoretical probability of rolling a 6 on a fair six-sided die is 1/6. |
| logical | The logical probability of the hypothesis being true is high. |
| marginal | The marginal probability of an event is the probability of that event occurring regardless of the occurrence of any other events. |
| mere | The mere probability of success was enough to make him take the risk. |
| non | She conducted a non probability sampling method. |
| required | The required probability is 0.95 for this experiment. |
| associated | The associated probability of this event is 0.6. |
| annual | The annual probability of success is 75%. |
| unconditional | Since the events are independent, the unconditional probability is simply the product of the individual probabilities. |
| false | The weather forecast is accurate with a false probability |
| zero | This event has zero probability of occurring. |
| smaller | Drawing a diamond card from a standard deck of cards has a smaller probability than drawing a heart card. |
| intrinsic | The intrinsic probability of a random event is the likelihood that it will occur. |
| mean | The expected value of the future of the random variable is called the mean probability |
| inductive | The car will most likely stop when you press the brake pedal because of inductive probability |
| expected | The expected probability of success is 0.8. |
| minimum | The minimum probability of precipitation is 10%. |
| fair | There is a fair probability that the team will win the game. |
| empirical | The empirical probability of rolling a six on a fair six-sided die is one out of six. |
| lowest | The cure rate of this disease is of the lowest probability |
| negligible | In this case, we can say that the error has negligible probability |
| overwhelming | The evidence suggests the suspect is guilty with overwhelming probability |
| binomial | The binomial probability of getting exactly k successes in n independent trails is given by the equation P(X = k) = (n!)/(k!(n - k)!) * (p^k) * (1 - p)^(n - k). |
| inherent | Racial profiling occurs when police officers stop drivers based on their race or ethnicity rather than on inherent probability of criminal activity. |
| reduced | The reduced probability of the offer made it less appealing. |
| thermodynamic | The thermodynamic probability of the system was calculated using the Boltzmann distribution. |
| fixed | |
| uniform | The probability of each outcome is the same, known as uniform probability |
| definite | There is a definite probability of rain. |
| classical | |
| nonzero | There is a nonzero probability of winning the lottery. |
| substantial | The company is creating insurance products with a substantial probability they will fail. |
| pretest | The pretest probability of a disease is the likelihood of having the disease before any testing is done. |
| slightest | Even with the slightest probability I will never give up on my dreams. |
| tailed | The tailed probability of the random variable is less than 0.05. |
| acceptable | The acceptable probability of success is 85%. |
| epistemic | Epistemic probability quantifies a person's degree of belief in a proposition. |
| state |
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