Use "Marginal Distribution" in a sentence | "Marginal Distribution" sentence examples
Marginal distribution is a statistical concept that plays a crucial role in data analysis and probability theory. It refers to the distribution of a single variable in a multivariate dataset, ignoring the values of other variables. Understanding how to use the term "marginal distribution" correctly in a sentence can enhance your ability to communicate effectively in the field of statistics. Here are some tips on how to incorporate this term accurately:
1. Begin with a clear definition: When introducing the term "marginal distribution" in a sentence, it is essential to provide a concise explanation of its meaning.
For example, "The marginal distribution represents the probability distribution of a single variable in a dataset, disregarding the values of other variables."
2. Contextualize the term: To ensure clarity, it is helpful to provide context or background information when discussing marginal distribution. This can be achieved by mentioning the specific dataset or statistical analysis being referred to. For instance, "In the analysis of customer demographics, the marginal distribution of age provides insights into the age distribution of the target population."
3. Use appropriate verbs: When discussing marginal distribution, it is crucial to select verbs that accurately convey the concept. Words like "represents," "describes," or "illustrates" can be used to emphasize the role of marginal distribution in summarizing individual variables.
For example, "The histogram effectively illustrates the marginal distribution of income in the dataset."
4. Connect with other statistical concepts: To demonstrate a comprehensive understanding of marginal distribution, it can be beneficial to connect it with other statistical concepts. For instance, you can mention how marginal distribution relates to joint distribution or conditional distribution.
For example, "While the joint distribution provides information about the relationship between two variables, the marginal distribution focuses solely on the individual variable of interest."
5. Provide examples: Incorporating examples in your sentence can help readers grasp the practical application of marginal distribution. By using specific variables or datasets, you can make the concept more relatable. For instance, "The marginal distribution of height in a sample of adults can be used to estimate the probability of individuals falling within specific height ranges."
6. Highlight the importance: When discussing marginal distribution, it is essential to emphasize its significance in statistical analysis. This can be achieved by using phrases like "crucial for," "essential in," or "plays a key role in." For example, "Understanding the marginal distribution of sales volume is crucial for optimizing marketing strategies."
7. Consider the audience: Tailor your sentence to suit the knowledge level of your audience. If you are writing for a technical audience, you can use more specialized terminology and complex sentence structures. However, if your audience is less familiar with statistical concepts, it is advisable to use simpler language and provide additional explanations. Remember, the goal is to convey the meaning of "marginal distribution" accurately and effectively in your sentence. By following these tips, you can enhance your ability to communicate this concept clearly in the context of statistics and data analysis.
In the remaining portion of this article, additional example sentences are presented to demonstrate the usage of the term "Marginal Distribution" within sentences.
"Marginal Distribution"
(1) To obtain the marginal distribution
(2) By studying the marginal distribution of crime rates
(3) By examining the marginal distribution of stock prices
(4) By examining the marginal distribution of the variables
(5) By studying the marginal distribution of traffic patterns
(6) By studying the marginal distribution of investment returns
(7) By examining the marginal distribution of voting preferences
(8) The marginal distribution of rainfall across different regions varied greatly.
(9) The marginal distribution of a dataset can be affected by outliers in the data.
(10) The marginal distribution of income in the city revealed a significant wealth gap.
Sentence For "Marginal Distribution"
(11) The marginal distribution of a uniform distribution is constant across its support.
(12) The marginal distribution of the data set showed a clear trend towards higher values.
(13) The marginal distribution of product sales indicated a high demand for certain items.
(14) The marginal distribution of a discrete variable can be visualized using a bar chart.
(15) The marginal distribution of a continuous variable can be visualized using a histogram.
(16) The marginal distribution of a categorical variable can be represented using a pie chart.
(17) The marginal distribution of a continuous variable can be approximated using a histogram.
(18) We analyzed the marginal distribution of the population to understand its characteristics.
(19) The study focused on the marginal distribution of crime rates to identify high-risk areas.
(20) The marginal distribution of the data set shows the frequency of each individual variable.
"Marginal Distribution" In A Sentence
(21) The marginal distribution of a dataset can be used to calculate conditional probabilities.
(22) The marginal distribution of customer satisfaction ratings indicated areas for improvement.
(23) The marginal distribution of a dataset can be used to assess the independence of variables.
(24) The marginal distribution of a discrete random variable can be visualized using a bar graph.
(25) The researchers analyzed the marginal distribution of housing prices to assess market trends.
(26) The company analyzed the marginal distribution of website traffic to enhance user experience.
(27) The marginal distribution of customer demographics helped us target specific market segments.
(28) The marginal distribution of temperature fluctuations provided insights into climate patterns.
(29) The marginal distribution of population growth rates provided insights into urban development.
(30) Understanding the marginal distribution of customer complaints helped us address common issues.
"Marginal Distribution" Sentence
(31) The marginal distribution of a categorical variable can be represented using a frequency table.
(32) The marginal distribution of a random variable can be used to calculate conditional probabilities.
(33) The marginal distribution of test scores highlighted areas where students needed additional support.
(34) The company analyzed the marginal distribution of website conversions to optimize marketing campaigns.
(35) The marginal distribution of a random variable can be represented in a probability distribution table.
(36) The marginal distribution of a discrete variable can be represented using a probability mass function.
(37) The company analyzed the marginal distribution of customer feedback to improve their product offerings.
(38) The marginal distribution of a dataset can be used to calculate confidence intervals for each variable.
(39) The marginal distribution of a dataset can be used to assess the normality assumption for each variable.
(40) The marginal distribution of energy consumption revealed patterns that could be optimized for efficiency.
"Marginal Distribution" Sentence Examples
(41) Understanding the marginal distribution of customer churn rates helped us implement retention strategies.
(42) To calculate the marginal distribution, we need to consider the probabilities of each individual outcome.
(43) The marginal distribution of a dataset can be used to perform hypothesis testing on individual variables.
(44) Understanding the marginal distribution of customer preferences helped us tailor our marketing strategies.
(45) The researchers analyzed the marginal distribution of disease prevalence to allocate healthcare resources.
(46) The marginal distribution of a dataset can provide insights into the individual variables' characteristics.
(47) The marginal distribution of a dataset can be used to estimate the population parameters for each variable.
(48) The marginal distribution of a dataset can be used to calculate percentiles and quartiles for each variable.
(49) The study focused on the marginal distribution of age groups to determine their influence on voting patterns.
(50) The study focused on the marginal distribution of health indicators to identify areas requiring intervention.
Sentence With "Marginal Distribution"
(51) The marginal distribution of a discrete random variable can be represented using a probability mass function.
(52) The marginal distribution of a dataset can be used to calculate the mean, median, and mode for each variable.
(53) The marginal distribution of a dataset can be used to perform regression analysis on each variable separately.
(54) The marginal distribution of student performance highlighted areas where educational interventions were needed.
(55) The marginal distribution of a continuous random variable can be represented by a probability density function.
(56) The marginal distribution of a beta distribution can be calculated using the beta probability density function.
(57) The marginal distribution of a dataset can be used to calculate summary statistics for each variable separately.
(58) The marginal distribution of a dataset can be used to identify any missing or incomplete data for each variable.
(59) The marginal distribution of a dataset can be used to identify any outliers or extreme values for each variable.
(60) The marginal distribution of the variable X is given by the sum of probabilities across all possible values of X.
Use "Marginal Distribution" In A Sentence
(61) The marginal distribution of a dataset can be used to determine the range and spread of values for each variable.
(62) The researchers analyzed the marginal distribution of educational levels to assess the impact on employment rates.
(63) The marginal distribution of a Poisson distribution can be calculated using the Poisson probability mass function.
(64) The marginal distribution of a continuous random variable can be represented using a probability density function.
(65) The marginal distribution of a dataset can be used to identify any patterns or trends in the individual variables.
(66) The marginal distribution of a Weibull distribution can be calculated using the Weibull probability density function.
(67) The marginal distribution of a geometric distribution can be calculated using the geometric probability mass function.
(68) The marginal distribution of a t-distribution can be calculated using the t-distribution probability density function.
(69) The marginal distribution of a F-distribution can be obtained by integrating the joint distribution over one variable.
(70) The marginal distribution of a dataset can be used to assess the skewness or symmetry of each variable's distribution.
Sentence Using "Marginal Distribution"
(71) The marginal distribution of a dataset can be used to calculate the variance and standard deviation for each variable.
(72) In a contingency table, the marginal distribution represents the distribution of one variable while ignoring the other.
(73) The marginal distribution of a gamma distribution can be obtained by summing the probabilities of each individual outcome.
(74) The marginal distribution of a normal distribution can be obtained by integrating the joint distribution over one variable.
(75) The marginal distribution of a Pareto distribution can be obtained by summing the probabilities of each individual outcome.
(76) The marginal distribution of a log-normal distribution can be calculated using the log-normal probability density function.
(77) The marginal distribution of a binomial distribution can be obtained by summing the probabilities of each individual outcome.
(78) The marginal distribution of a exponential distribution can be calculated using the exponential probability density function.
(79) The marginal distribution of a logistic distribution can be obtained by integrating the joint distribution over one variable.
(80) In a contingency table, the marginal distribution refers to the distribution of one variable while ignoring the other variable.
Sentences With "Marginal Distribution"
(81) The marginal distribution of a triangular distribution can be obtained by integrating the joint distribution over one variable.
(82) The marginal distribution of a dataset can be used to determine the probability of specific events occurring for each variable.
(83) The marginal distribution of a chi-squared distribution can be obtained by summing the probabilities of each individual outcome.
(84) The marginal distribution of a joint probability distribution can be obtained by summing the probabilities of each row or column.
(85) The marginal distribution of a dataset can be compared to the joint distribution to understand the relationship between variables.
(86) The marginal distribution of a hypergeometric distribution can be obtained by summing the probabilities of each individual outcome.
(87) The marginal distribution of a bivariate normal distribution can be obtained by integrating the joint distribution over one variable.
(88) The marginal distribution of a negative binomial distribution can be calculated using the negative binomial probability mass function.
(89) The marginal distribution of a bivariate normal distribution can be obtained by integrating the joint density function over one variable.
(90) The marginal distribution of a random variable can be obtained by summing the joint probabilities over all possible values of the other variable.
Learning English Faster Through Complete Sentences With "Marginal Distribution"
Sentences are everywhere.
Without sentences, language doesn’t really work.
When you first started learning English, you may have memorized words such as English meaning of the word "Marginal Distribution"; But now that you have a better understanding of the language, there’s a better way for you to learn meaning of "Marginal Distribution" through sentence examples.
True, there are still words that you don’t know. But if you learn whole sentences with "Marginal Distribution", instead of the word "Marginal Distribution" by itself, you can learn a lot faster!
Focus Your English Learning On Sentences With "Marginal Distribution".
Why Is Focusing on Sentences Important?
Sentences are more than just strings of words. They’re thoughts, ideas and stories. Just like letters build words, words build sentences. Sentences build language, and give it personality.
Again, without sentences, there’s no real communication. If you were only reading words right now, you wouldn’t be able to understand what I’m saying to you at all.
- The Word "Marginal Distribution" in Example Sentences.
- "Marginal Distribution" in a sentence.
- How to use "Marginal Distribution" in a sentence.
- 10 examples of sentences "Marginal Distribution".
- 20 examples of simple sentences "Marginal Distribution".
All the parts of speech in English are used to make sentences. All sentences include two parts: the subject and the verb (this is also known as the predicate). The subject is the person or thing that does something or that is described in the sentence. The verb is the action the person or thing takes or the description of the person or thing. If a sentence doesn’t have a subject and a verb, it is not a complete sentence (e.g., In the sentence “Went to bed,” we don’t know who went to bed).
Four Types Of Sentence Structure.
Simple Sentences With "Marginal Distribution"
A simple sentence with "Marginal Distribution"contains a subject and a verb, and it may also have an object and modifiers. However, it contains only one independent clause.
Compound Sentences With "Marginal Distribution"
A compound sentence with "Marginal Distribution" contains at least two independent clauses. These two independent clauses can be combined with a comma and a coordinating conjunction or with a semicolon.
Complex Sentences With "Marginal Distribution"
A complex sentence with "Marginal Distribution" contains at least one independent clause and at least one dependent clause. Dependent clauses can refer to the subject (who, which) the sequence/time (since, while), or the causal elements (because, if) of the independent clause.
Compound-Complex Sentences With "Marginal Distribution"
Sentence types can also be combined. A compound-complex sentence with "Marginal Distribution" contains at least two independent clauses and at least one dependent clause.