sample space
The measured outcomes or results in an experiment are called dependent variables. These variables are observed and recorded to assess how they change in response to manipulations of independent variables. They provide critical data that help researchers evaluate the effects of different conditions or treatments in the study.
The process of gathering information from an experiment over a period of time is called data collection. This involves systematically observing, measuring, and recording relevant variables to analyze the results. Data can be quantitative or qualitative, depending on the nature of the experiment. Proper data collection is crucial for ensuring the reliability and validity of the experiment's findings.
dependent variable
A summary at the end of an experiment is typically called a "conclusion." In this section, researchers discuss the results, interpret their significance, and reflect on the implications of their findings. It may also include recommendations for future research or practical applications based on the experiment's outcomes.
Getting the same results in an experiment is called "reproducibility." It refers to the ability of independent researchers to achieve consistent outcomes when they repeat the experiment under similar conditions. Reproducibility is a key principle in scientific research that helps validate findings and ensures reliability in the results obtained.
The outcome space.
A list of all possible outcomes of an experiment is called a "sample space." In probability theory, the sample space encompasses every possible result that can occur from the experiment, whether it be discrete outcomes (like flipping a coin) or continuous outcomes (like measuring height). It serves as the foundational set from which probabilities of events are derived.
Sample: The answer is called Sample space.
sample space
It is the probability distribution.
Probability determined as part of an experiment is called experimental probability. Probability determined by analysis of all of the possible and expected outcomes is called theoretical probability.
The set of all possible outcomes of an experment is called the sample space. Suppose an experiment consists of a coin 2 times. Let H represents heads and T represent tails. The sample space for this experiment is {HH,TT,HT,TH}. There are 4 elements in the sample space.
The conclusion in an experiment is typically called the "results", "findings", or "summary". It summarizes the key outcomes and insights discovered during the experiment.
A set of outcomes are called results. All possible outcomes are referred to as the sample space.
An event or events.
A random variable is a function that assigns unique numerical values to all possible outcomes of a random experiment. A real valued function defined on a sample space of an experiment is also called random variable.
Experiment cannot be predicted in advance is RANDOM EXPERIMENT...... set of all possible outcomes. outcome that can be predicted with certainity. when an experiment performed repeatedly- called trial. Ex. If a coin is tossed,we can't say,whetefr head or tail will appear .so it is a Random Experiment. Sample Space:-- Possible outcomes of a random experiment.. set of all posssible outcomes.. denoted by--- "S". and no. of elements is denoted by n(s). ex. In throwing a dice ,the number that appears at top is any one of 1,2,3,4,5,6 ,So here: S= 1,2,3,4,5,6 n(s) --- 6