To completely describe a sample of a gas, you need to know the pressure, temperature, volume, and amount of the gas (usually measured in moles). These four quantities are typically described by the ideal gas law: PV = nRT, where P is the pressure, V is the volume, n is the amount of gas, R is the gas constant, and T is the temperature.
That's a 'vector'. Examples include displacement, velocity, acceleration, force,momentum, torque, gradient, divergence, and curl.Distance, speed, temperature, price, weight, energy, power, voltage, resistance,and duration are not vectors.
No, exact quantities are not considered when applying significant figure rules. Exact quantities are known with complete certainty and do not impact the uncertainty associated with measured quantities. Significant figures are only counted based on measured values.
This time is known as the half-life.
If the chemical composition of the sample is known, then the answer is yes. However, equal masses of platinum and magnesium, for example, contain quite different numbers of atoms, because the atomic mass of platinum is much higher than that of magnesium.
. Velocity Acceleration
sample statistic
Physical quantities that need both magnitude and direction for its complete description are known as vector quantities. Physical quantities that need only direction for its complete description are known as scalar quantities.
That's a 'vector'. Examples include displacement, velocity, acceleration, force,momentum, torque, gradient, divergence, and curl.Distance, speed, temperature, price, weight, energy, power, voltage, resistance,and duration are not vectors.
Facts are known knowledge versus a theory is a statement based on facts which may not be completely true
Data is commonly referred to the quantitative attributes of a variable. A data is nothing but a result of something. Through this result, the information is derived. Sometimes we refer to Raw Data which is unprocessed in nature which can mean a collection of numbers or characters that collect information and then convert from quantities to symbols. Sample, in statistics can mean a subset of a population. Population can be huge, so the sample can represent just a manageable size. Sample is first collected and then the statistics are derived from the sample. This process is known as Sampling.
There are no places known as Sample in the US.
By inserting the known quantities into their respective variables.
The standard addition method is advantageous because it effectively compensates for matrix effects in complex samples, ensuring more accurate quantification of analytes. By adding known quantities of the analyte to the sample, it allows for direct comparison and correction for any sample-specific interferences. This method enhances reliability, particularly in cases where sample composition can vary significantly, making it especially useful in analytical chemistry for trace analysis.
it is need so as a control.
i don't known :(
When the population standard deviation is known, the sample distribution is a normal distribution if the sample size is sufficiently large, typically due to the Central Limit Theorem. If the sample size is small and the population from which the sample is drawn is normally distributed, the sample distribution will also be normal. In such cases, statistical inference can be performed using z-scores.
Formula