0
Add your answer:
Earn +20 pts
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
As the sample size increases what does the expected value of M do?
You have not defined M, but I will consider it is a statistic of the sample. For an random sample, the expected value of a statistic, will be a closer approximation to the parameter value of the population as the sample size increases. In more mathematical language, the measures of dispersion (standard deviation or variance) from the calculated statistic are expected to decrease as the sample size increases.
Why is sample size important in determining probability?
The bigger the sample size the more accurate the results will be. For example, if you roll a 6 sided die and track the results to get the probability of rolling a six. If you only roll 6 times, then you may not even get one 6 or you could get a few. A small sample size means you won't get very reliable results.
When determining the necessary sample size for hypothesis testing of means for a specified level of confidence and margin of error the minimum sample size is given by which?
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.For Confidence level c, and the critical value of Zc is the number such that the area under the statndard normal curve between -Zc and Zc equals C.n > (zcσ/E)2
What is a sample size?
When something is a sample size, that means it is smaller than the size that is normally available for purchase. Sample size products are usually enough to let you try something before you buy it.
how can i determine sample size in cluster sampling?
Determining the ideal sample size in cluster sampling involves several factors. Here's a breakdown of the key considerations: Factors Affecting Sample Size: Desired Precision: The level of accuracy you want in your results. Higher precision requires a larger sample size. Intra-Cluster Correlation (ICC): This measures how similar units within a cluster are compared to units from different clusters. A higher ICC means you need a larger sample size to account for the clustering effect. Cluster Size: The average number of units within each cluster. Smaller cluster sizes typically require a larger number of clusters to achieve the same level of precision. Confidence Level: The level of certainty you want in your findings. A higher confidence level (e.g., 95% vs. 90%) typically necessitates a larger sample size. Calculating Sample Size: Unfortunately, there's no one-size-fits-all formula for sample size in cluster sampling. However, there are statistical software programs and online calculators that can help you determine the appropriate sample size based on the factors mentioned above. Here are some resources that can be helpful: Sample Size Calculators: Guides on Cluster Sampling and Sample Size: Additional Tips: Pilot Study: Consider conducting a pilot study on a smaller sample to estimate the ICC and refine your sample size calculations. Software or Statistical Help: If you're not comfortable with statistical calculations, consider using specialized software or consulting a statistician for assistance in determining the optimal sample size for your cluster sampling design.
How big should it be?
The size of something should be appropriate for its intended purpose and functionality. Consider factors such as usability, space constraints, and ergonomics when determining the ideal size.
What factors should you consider when planning a detainee movement and determining the guard to - detainee ratio?
To determine the best guard-to-detainee ratio, the following things would be good to consider:The nature of the crimes of the detaineesThe level of security of the prisonThe size of the prisonThe amount of rooms in the prisonThe number of detainees
What are some factors to consider about the ease of installation and size of coolers?
(what are the factors)
What are some factors to consider about ease of instalation and size of coolers?
(what are the factors)
What a three factors determining which network an organization should use?
The three factors determining which network an organization should use is the cost, the type of network, and the size of the network.
Which is better to use larger sample size or smaller sample size?
A larger sample size will give more accurate answers but at a greater cost. The skill of a statistician is in determining the optimum sample size in the trade off between accuracy and cost. The costs are both in terms of the cost of collecting and processing additional information against the risk of getting the answer wrong.
Consider a random sample of size 45 from a population with proportion 0.30 find the standard error of the distribution of sample proportions?
dczczczxczczczxczxczc
What size of room will 12000 btu 12000 BTU cools what size room?
A 12,000 BTU air conditioner can typically cool a room size of 350-550 square feet. This can vary depending on factors such as insulation, ceiling height, and sunlight exposure in the room. It's recommended to consider these factors when determining the appropriate size air conditioner for your room.
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
The variation in the population as measured by the standard deviation has little or no effect in determining the size of a sample selected from the population True or False?
The answer is False
As the sample size increases what does the expected value of M do?
You have not defined M, but I will consider it is a statistic of the sample. For an random sample, the expected value of a statistic, will be a closer approximation to the parameter value of the population as the sample size increases. In more mathematical language, the measures of dispersion (standard deviation or variance) from the calculated statistic are expected to decrease as the sample size increases.
