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The techniques used to find out something about a population such as their average age based on a sample are referred to as?
A Census
Factors that determine sample size?
1. population to deal with in the sample 2. Location. ocation where the sample will be done 3. design. how the sample will be taken 4. result. how the outcome will be determined
What is the difference between a parameter and a statistic?
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
What difference between Statistical Sampling and non-statistical sampling?
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
What will happen if the sample you have drawn from the population does not represent the population?
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
The techniques used to find out something about a population such as their average age based on a sample are referred to as?
A Census
What techniques used to estimate something about a population based on a sample are called?
The techniques used to estimate characteristics of a population based on a sample are called statistical inference methods. These methods include point estimation, confidence intervals, and hypothesis testing. They allow researchers to draw conclusions about a population's parameters from the data collected in a smaller, representative sample. Common techniques involve using measures like the sample mean or proportion to infer about the population mean or proportion.
How can you determine whether a sample is representative of a population?
Take a simple random sample.
How can we accurately determine the protein concentration in a sample using measuring protein concentration techniques?
To accurately determine protein concentration in a sample, techniques such as spectrophotometry, Bradford assay, and BCA assay can be used. These methods involve measuring the absorbance of light by the sample and comparing it to a standard curve to calculate the protein concentration.
How can you determine whether a sample accurately represents a population?
To determine if a sample accurately represents a population, you can evaluate its size, randomness, and diversity. A larger sample size generally increases reliability, while random sampling helps minimize bias. Additionally, assessing whether the sample reflects key characteristics of the population, such as demographics and relevant traits, is crucial. Statistical tests can also be employed to analyze the representativeness of the sample compared to the population.
Factors that determine sample size?
1. population to deal with in the sample 2. Location. ocation where the sample will be done 3. design. how the sample will be taken 4. result. how the outcome will be determined
To determine the unemployment rate the Bureau of Labor Statistics polls a sample population of .?
50000 families
To determine the unemployment rate the Bureau of Labor Statistic polls a sample population of?
50000 families
What is the difference a parameter and a statistic?
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
Why do smaller populations need larger sample sizes?
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
What is subset of a population called?
A Sample
How can you determine if something is pure metal?
you will have to determine the properties of your sample, and compare these with a table of properties of metals. Density is a good easy one to start with. But you could consider colour, softness and so on.
