Skewed Distribution in a sentence
Synonym: biased. Antonym: normal distribution, symmetrical
Meaning: A statistical distribution that is not symmetrical; has a tail on one side.
(1) The histogram displays a clear skewed distribution.
(2) The data points in the set create a skewed distribution.
(3) The skewed distribution suggests a strong positive skewness.
(4) The skewness of the sample suggests a right-skewed distribution.
(5) The skewness of the data points to a highly skewed distribution.
(6) The outliers in the dataset contribute to the skewed distribution.
(7) The skewed distribution of the data indicates a non-normal pattern.
(8) The skewed distribution of wealth in the country led to social unrest.
(9) The statistical description revealed a skewed distribution of the data.
(10) The skewed distribution of the data points indicates a lack of balance.
Skewed Distribution sentence
(11) The skewed distribution of the data points affects the overall analysis.
(12) The skewed distribution of the data points indicates a lack of symmetry.
(13) The negatively skewed distribution implies a long tail on the left side.
(14) The negatively skewed distribution implies a lower median than the mean.
(15) The positively skewed distribution suggests a long tail on the right side.
(16) The positively skewed distribution suggests a higher median than the mean.
(17) The cumulative frequency histogram revealed a skewed distribution of values.
(18) The skewed distribution of the data points affects the accuracy of the mean.
(19) The skewed distribution of the dataset indicates a departure from normality.
(20) The frequency distribution showed a right-skewed distribution with a long tail.
Skewed Distribution make sentence
(21) The positively skewed distribution suggests a higher frequency of lower values.
(22) The negatively skewed distribution implies a higher frequency of higher values.
(23) The skewed distribution of the dataset requires a transformation for normality.
(24) In the graph, the skewed distribution was evident by the long tail on one side.
(25) The skewed distribution of resources created disparities in access to education.
(26) The frequency distribution indicated a skewed distribution towards higher values.
(27) The skewed distribution of the variables makes it challenging to draw conclusions.
(28) The skewed distribution of the variables requires a different statistical approach.
(29) The skewed distribution of the variables affects the interpretation of the results.
(30) The positively skewed distribution suggests a lack of variability in higher values.
Sentence of skewed distribution
(31) The skewed distribution of the data points highlights the presence of extreme values.
(32) The positively skewed distribution suggests a concentration of values on the left side.
(33) The negatively skewed distribution implies a concentration of values on the right side.
(34) The distributional analysis revealed a skewed distribution of income in the population.
(35) The skewed distribution of the data points raises questions about the underlying factors.
(36) The skewed distribution of the data points leads to biased estimates of central tendency.
(37) The skewed distribution of the variables affects the reliability of statistical inferences.
(38) The skewed distribution of the data points indicates a departure from a symmetrical pattern.
(39) The skewed distribution of the variables makes it difficult to apply certain statistical tests.
(40) The skewed distribution of the variables influences the shape of the probability density function.
(41) The sales data exhibited a skewed distribution, with a few products accounting for the majority of revenue.
(42) The survey results revealed a skewed distribution of opinions, with a significant majority favoring the proposed changes.
(43) The voting patterns in that region showed a skewed distribution, with one political party dominating the majority of seats.
(44) The test scores showed a skewed distribution, with a few students scoring exceptionally high and the majority scoring average or below.
Skewed Distribution meaning
Skewed distribution is a statistical term that refers to the uneven or asymmetrical distribution of data points in a dataset. When a distribution is skewed, it means that the data is not evenly spread out around the mean, resulting in a longer tail on one side of the distribution. To effectively use the phrase "skewed distribution" in a sentence, it is important to understand its meaning and context. Here are some tips on how to incorporate this term into your writing:
1. Define the term: Begin by providing a clear definition of skewed distribution to ensure your readers understand the concept.
For example, "A skewed distribution is a statistical phenomenon where the data points in a dataset are not evenly distributed around the mean, resulting in an asymmetrical shape."
2. Provide an example: Illustrate the concept of skewed distribution by using a real-life example. This will help your readers visualize the idea better. For instance, "In a study analyzing income levels, it was found that the distribution of salaries was skewed to the right, indicating a higher concentration of lower-income individuals."
3. Explain the implications: Discuss the implications or consequences of a skewed distribution in your sentence. This will demonstrate your understanding of the concept and its significance.
For example, "A skewed distribution can have a significant impact on data analysis, as it can distort the interpretation of results and affect the validity of statistical tests."
4. Compare with other distributions: Highlight the differences between skewed distribution and other types of distributions, such as normal or symmetrical distributions. This will help readers grasp the unique characteristics of skewed distribution. For instance, "Unlike a normal distribution, where data points are evenly distributed around the mean, a skewed distribution has a longer tail on one side, indicating a higher frequency of extreme values."
5. Use in context: Incorporate the phrase "skewed distribution" into a sentence that demonstrates your understanding of the concept within a specific context.
For example, "The analysis of the stock market data revealed a skewed distribution of returns, with a majority of stocks exhibiting negative returns while a few outliers experienced substantial gains."
6. Relate to real-world scenarios: Connect the concept of skewed distribution to real-world scenarios to make it more relatable and understandable. This will help your readers see the practical applications of the term. For instance, "In urban planning, understanding the skewed distribution of population density can aid in the allocation of resources and infrastructure development in areas with higher concentrations of residents."
7. Discuss statistical measures: Mention statistical measures commonly used to quantify the degree of skewness in a distribution, such as skewness coefficient or skewness ratio. This will demonstrate your knowledge of statistical analysis.
For example, "The skewness coefficient of the dataset indicated a highly skewed distribution, with a value of -1.5, suggesting a significant asymmetry towards the left side of the distribution." Remember to use the phrase "skewed distribution" appropriately and accurately in your writing. By following these tips, you can effectively incorporate this term into your sentences and enhance your understanding and usage of statistical concepts.
The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Skewed Distribution. They do not represent the opinions of TranslateEN.com.