Yahoo Web Search

Search results

      • Obviate generally suggests the use of intelligence or forethought to ward off trouble. Avert always implies that a bad situation has been anticipated and prevented or deflected by the application of immediate and effective means.
      www.merriam-webster.com › dictionary › obviate
  1. Both obviate and avert are formal words, but obviate is more commonly used in technical or specialized contexts, while avert is more versatile and can be used in various formality levels.

  2. People also ask

  3. What is the difference? 1 Focus: Obviate focuses on removing obstacles or difficulties, while avert focuses on preventing negative outcomes. 2 Usage: Obviate is often used in technical or specialized contexts, while avert is more commonly used in everyday language.

  4. Dec 17, 2023 · Data analysis is the process of cleaning, transforming, and interpreting data to uncover insights, patterns, and trends. It plays a crucial role in decision making, problem solving, and driving innovation across various domains.

  5. Obviate generally suggests the use of intelligence or forethought to ward off trouble. Avert always implies that a bad situation has been anticipated and prevented or deflected by the application of immediate and effective means.

  6. To obviate something such as a problem or a need means to remove it or make it unnecessary.

  7. Data analysis is a comprehensive method of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It is a multifaceted process involving various techniques and methodologies to interpret data from various sources in different formats, both structured and unstructured.

  8. Analysis of variance (ANOVA) assesses the differences between group means. It is a statistical hypothesis test that determines whether the means of at least two populations are different. At a minimum, you need a continuous dependent variable and a categorical independent variable that divides your data into comparison groups to perform ANOVA.

  1. People also search for