First of all, one needs to understand that this is another method of finding the Mean of a list of data. Sometimes the data is presented in a form which makes the calculation of the mean by the usual method impossible. Such a situation would involve a frequency table where the data is presented as an interval. For example, a question might be, "A person rolls a 1, 2 or 3 five times, then rolls a 4, 5 or 6 three times. What is the mean roll value?" Since we do not know exactly how many times each number has been rolled, we need another method to solve this problem. This would be an occasion to use an Assumed Mean. To solve the problem one chooses an arbitrary number which is close to the mean, in this case we could use 6 as the assumed value. Since it is an arbitrary choice, we could also use 5, or 2. It doesn't matter.
Next we set up a table as shown below
Dice value Frequency (f) Mid-Value (x) d = x - A fd A 1-3 5 2 -4 -20 6 4-6 3 5 -1 -3 8 -23 fd/f A + (fd/f) -2.875 3.125
We find the mid-value of each interval, and subtract the Assumed value (A) in this case 6, then we multiple that value (-4) times the frequency (5) to yield -20. Continue down the table. In the end, you add up your frequencies (8) and your f x d (-23), then divide fd by d. You then add this value to the assumed mean (6 + (-2.875)) and this is your mean 3.125! Easy once you know how.
hey u can choose any number from the frequency to find the assumed mean suppose u have 8 frequencies u can assume 4 as the mean
Your question is a bit difficult to understand. I will rephrase: In hypothesis testing, when the sample mean is close to the assumed mean of the population (null hypotheses), what does that tell you? Answer: For a given sample size n and an alpha value, the closer the calculated mean is to the assumed mean of the population, the higher chance that null hypothesis will not be rejected in favor of the alternative hypothesis.
No. The null hypothesis is assumed to be correct unless there is sufficient evidence from the sample and the given criteria (significance level) to reject it.
...normally distributed.
If the process can be assumed to follow a Gaussian distribution then 99.7% of the outputs of the process will lie between those two limits. That may be of benefit in quality control if it is a production process.
find assumed mean data is 46,55,52,59,63,47,56,50,51,55 ,
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hey u can choose any number from the frequency to find the assumed mean suppose u have 8 frequencies u can assume 4 as the mean
I am 99% sure that it is the guessing average as assumed means, guess, or something like that, and mean means average..so yeah
If you mean the throne of England, it was Charles II.
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Because assume places an Ass in front of "U" and "Me"'
Something suggested or assumed as proof for reasoning, discussion or belief.
Something suggested or assumed as proof for reasoning, discussion or belief.
Your question is a bit difficult to understand. I will rephrase: In hypothesis testing, when the sample mean is close to the assumed mean of the population (null hypotheses), what does that tell you? Answer: For a given sample size n and an alpha value, the closer the calculated mean is to the assumed mean of the population, the higher chance that null hypothesis will not be rejected in favor of the alternative hypothesis.
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It is an assumed manner of speech, manner, dress or behaviour intended to impress others