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What else can I help you with?
Is the range in distribution ever smaller than standard deviation in a distribution?
No.
What is the difference between multiphase sampling and multistage sampling?
Oh, dude, like, multiphase sampling is when you have different phases within one stage, while multistage sampling is like a multilevel marketing scheme where you have different stages with different samples. So, like, multiphase is more about breaking down one big stage into smaller phases, and multistage is about moving through different stages to get your final sample. Hope that clears things up for you!
Advantages and disadvantages of systematic sampling?
Advantages 1.It is very simple to use. 2.It also saves time and cost. 3.It checks bias in subsequent selections of samples. 4.Its variances are most often smaller than other alternative sampling technique,when it is suitable to use. Disadvantages 1.There is the possibility of losing vital information from the population. 2.It may not be possible to select the required sample size if the population is too small. 3.It may not be good for periodic data.
What is the difference between a z score and t score?
A z-score measures how many standard deviations an individual data point is from the mean of a population, assuming the population standard deviation is known and the sample size is large (typically n > 30). In contrast, a t-score is used when the sample size is small (n ≤ 30) or when the population standard deviation is unknown, relying on the sample's standard deviation instead. The t-distribution, which the t-score utilizes, is wider and has heavier tails than the normal distribution, reflecting more uncertainty in smaller samples. As sample sizes increase, the t-distribution approaches the normal distribution, making z-scores more applicable.
The law of large numbers affects sampling procedure how?
Statistical concept that larger the sample population (or the number of observations) used in a test, the more accurate the predictions of the behavior of that sample, and smaller the expected deviation in comparisons of outcomes.
Is compact or sub compact smaller?
Sub compact is smaller than compact.
What is the difference between standard normal distribution table and the t distribution table?
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
How does the number of repetitions effect the shape of the normal distribution?
When we discuss a sample drawn from a population, the larger the sample, or the large the number of repetitions of the event, the more certain we are of the mean value. So, when the normal distribution is considered the sampling distribution of the mean, then more repetitions lead to smaller values of the variance of the distribution.
What are the disadvantages of random sampling?
used for a smaller population
What is a condencer?
Make smaller, compact.
What is a compact parking spot and how does it differ from a regular parking spot?
A compact parking spot is a smaller parking space designed for smaller vehicles, such as compact cars or motorcycles. It differs from a regular parking spot in that it is typically narrower and shorter, making it more suitable for smaller vehicles.
Is the range in distribution ever smaller than standard deviation in a distribution?
No.
What is compact parking and how does it differ from regular parking spaces?
Compact parking refers to parking spaces that are smaller in size compared to regular parking spaces. These spaces are designed to accommodate smaller vehicles, such as compact cars or motorcycles. The main difference between compact parking and regular parking spaces is the size, with compact parking spaces being narrower and shorter, making them more suitable for smaller vehicles.
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
What does compact car parking mean and how does it differ from regular parking spaces?
Compact car parking refers to designated parking spaces that are smaller in size and specifically designed for smaller vehicles, such as compact cars. These spaces are typically narrower and shorter than regular parking spaces, making them more suitable for smaller vehicles to park comfortably. The main difference between compact car parking and regular parking spaces is the size of the space, with compact car parking spaces being more tailored to accommodate smaller vehicles.
Why do compact cameras use such small sensors?
The answer is in your question. They need smaller sensors to fit in smaller and smaller cameras. The full size DSLR camera has sensor as big as the old 35 mm film. Most compact camera have sensors the size of you fingernail or smaller.
What are the available options for compact parking at this location?
The available options for compact parking at this location include designated compact parking spaces, parking garages with compact spots, and street parking that may accommodate smaller vehicles.
