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What are the importance of statistics in the field of research?
Statistics are needed to analyze data and show which outcomes are significant.
What is definition of a simulation in statistics?
a way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes, researchers gain insight on the real world.
What are advantages and disadvantages of mathematical models?
Mathematical modelling can give realistic representations of a real world phenomenon using statistics and probable outcomes. One flaw is that there are many possible outcomes and the correct one is not always identifiable.
Scientists use statistics to?
Find the likelihood of events whose outcomes include an element of uncertainty, or to find the measure of uncertainty in the outcome of events.
What is the statistics of deadly quarrels about?
It is a statistical analysis of the causes and outcomes of wars, based on virtually every war between two nations, from 1815 to 1945.
What is a type of math that predicts outcomes?
The answer is statistics
What are the importance of statistics in the field of research?
Statistics are needed to analyze data and show which outcomes are significant.
What is definition of a simulation in statistics?
a way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes, researchers gain insight on the real world.
What has the author Sandra Hale written?
Sandra Hale has written: 'Trends in Montana--teen pregnancies and their outcomes, 1980-1991' -- subject(s): Statistics, Teenage pregnancy, Childbirth, Abortion, Statistics, medical, Perinatal deaths, Abortions, Statistics, vital, Vital Statistics, Medical Statistics, Perinatal death
What are advantages and disadvantages of mathematical models?
Mathematical modelling can give realistic representations of a real world phenomenon using statistics and probable outcomes. One flaw is that there are many possible outcomes and the correct one is not always identifiable.
What are the Advantages and Disadvantages of Mathematical Modelling?
Mathematical modelling can give realistic representations of a real world phenomenon using statistics and probable outcomes. One flaw is that there are many possible outcomes and the correct one is not always identifiable.
Scientists use statistics to?
Find the likelihood of events whose outcomes include an element of uncertainty, or to find the measure of uncertainty in the outcome of events.
What is the statistics of deadly quarrels about?
It is a statistical analysis of the causes and outcomes of wars, based on virtually every war between two nations, from 1815 to 1945.
What has the author John R Walker written?
John R. Walker has written: 'Supervision in the hospitality industry' -- subject(s): Hospitality industry, Personnel management, TECHNOLOGY & ENGINEERING / Food Science 'Australian community-based corrections, 1985-86' -- subject(s): Criminal statistics, Statistics, Community-based corrections 'The outcomes of remand in custody orders' -- subject(s): Arrest, Statistics, Judicial statistics
What are the statistics on marriage and pregnancy, and how does the institution of marriage impact pregnancy outcomes?
Research shows that married individuals are less likely to experience unplanned pregnancies compared to unmarried individuals. Additionally, being married is associated with better pregnancy outcomes, including lower rates of preterm birth and infant mortality. Marriage provides stability and support, which can positively impact pregnancy outcomes.
What is fractional probability?
Fractional probability refers to the concept of expressing probability values as fractions, where the numerator represents the number of favorable outcomes and the denominator represents the total number of possible outcomes. This allows probabilities to be quantified in a way that can easily illustrate the likelihood of an event occurring. For example, if there are 2 favorable outcomes out of 10 total outcomes, the fractional probability is 2/10, which can also be simplified to 1/5. This representation is useful in various applications, including statistics and risk assessment.
How does a quantitative forecasting differ from a qualitative forecasting?
Qualitative forecasting is an estimating method that relies upon human judgement, usually the judgment of a perceived expert. Quantitative forecasting uses statistics to make predictions on future outcomes. These prior experiences use past trends to try to predict future outcomes.
