The greater the sampling error the greater the uncertainty about the results and therefore the more careful you need to be in the interpretation.
Yes. The standard deviation and mean would be less. How much less would depend on the sample size, the distribution that the sample was taken from (parent distribution) and the parameters of the parent distribution. The affect on the sampling distribution of the mean and standard deviation could easily be identified by Monte Carlo simulation.
Distribution would be centered at .14*128=17.92The standard deviation of the distribution would be root(n(p(p-1)))=root(128*.14*.86)=3.92571013Normal, unimodal
It results in reduced ventilation and affect the turbine more than the generator.
shouldn't, as there's multiple means of sampling.
Yes, the weight distribution on a hovercraft can affect its speed. Uneven weight distribution can cause instability and affect the control of the hovercraft, potentially impacting its speed. It is crucial to maintain a balanced weight distribution to ensure optimal performance.
The main sources of inaccuracy in obtaining results include measurement error, sampling bias, human error in data collection or analysis, and external factors that can influence the outcome. These factors can lead to inaccuracies in the results and affect the overall validity and reliability of the findings.
Two factors that affect the choice of a sampling technique are the population size and the level of accuracy required. For large populations, it may be more practical to use a random sampling technique, while for small populations, a convenience sampling technique may be sufficient. Additionally, if high accuracy is required, a stratified sampling technique may be more appropriate to ensure representation of all subgroups within the population.
birth rate
There are many factors that affect distribution channels, the main factors that affect distribution channels are transport, taxes, expenses, licences that countries are bound to have if the goods are being distributed abroad, Time delays due to weather conditions and etc..
The basic methods meant for distribution usually affect the type of advertising chosen for them. Traditional methods of distribution work well with traditional advertising modes such as flyers and word of mouth.
A large sample reduces the variability of the estimate. The extent to which variability is reduced depends on the quality of the sample, what variable is being estimated and the underlying distribution for that variable.