"No observations" typically indicates that no data or evidence has been recorded or noted in a particular context, such as a study, experiment, or assessment. This may occur when conditions were not met for data collection, or the phenomenon being observed did not manifest. It can also suggest a lack of activity or results in a specified timeframe.
Her own observations and the observations of others
the difference is that results are the answers to the observations.
Observations and measurements recorded during an experiment refer to the systematic collection of data that captures the outcomes and behaviors of the variables being studied. These records can include qualitative observations, such as color changes or physical reactions, as well as quantitative measurements, such as temperature, mass, or volume. This data is essential for analyzing results, drawing conclusions, and validating hypotheses in scientific research. Accurate documentation of these observations allows for reproducibility and further investigation.
He made many experiments and observations in the field of physics in general.
Observations from Earth-based telescopes are obscured by the atmosphere.
The "mean" is the "average". In statistics, it is the commonly used terminology. The mean value of a set of numeric observations is the sum of that set of observations divided by the number of observations.
You calculate the sum of all the observations and divide the answer by the number of observations.
You add together all the observations and divide the result by the number of observations.
No, the mean does not always have half of the observations on either side of it. The mean is a measure of central tendency that can be influenced by extreme values, leading to a skewed distribution where more observations may fall on one side of the mean than the other. In a perfectly symmetrical distribution, the mean would be at the center, with an equal number of observations on either side, but this is not the case for skewed distributions.
In statistics, n is usually used to mean the number of observations or measurements which you have. So n = 7 means you have 7 observations or meadurements.
It means that the observations are all close to their mean value.
mean=Sum of all observations(divided by)number of observations = 2+5+7+6(by)4 = 20(by)4 = 5
For a sample of data it is a measure of the spread of the observations about their mean value.
"Observaciones" translates to "observations" in English.
The upper quartile is the 75% point of the variable. That is, it is the point with 75% of the observations below it and 25% of the observations above it.
You add together all the observations for the variable of interest and divide the sum by the number of observations.
They are statistical measures. For a set of observations of some random variable the mean is a measure of central tendency: a kind of measure which tells you around what value the observations are. The standard deviation is a measure of the spread around the mean.