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If the mean of a normally distributed population is 132 what is the median?
Wiki User
∙ 15y ago
132. You're the the one that stated "normal distribution", thus the same.
Wiki User
∙ 15y ago
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When do you use mean and median?
The mean is used to measure the average of a set of values, especially when the data is normally distributed. The median is used to find the middle value of a dataset when there are extreme values or outliers present, as it is less affected by extreme values.
What is a median age?
The median age is the age that divides a population into two equal halves, with half the population being younger and half being older than that age. It is considered a better measure of the central tendency of a population's age distribution compared to the mean because it is not influenced by extreme values.
Why is median age good?
Median age gives a more accurate representation of the central tendency of a population's age distribution, as it is less affected by outliers compared to the mean. It provides a clearer understanding of the typical age of a population and can be useful for demographic analysis and policy making.
Number used to estimate a population parameter?
A point estimate is a single value used to estimate a population parameter, such as the sample mean used to estimate the population mean. Confidence intervals can also be used to provide a range within which the population parameter is likely to lie.
What term describes the number of individuals of a population that are of reproductive age as well as those above and below reproductive age?
The term that describes this is "population age structure." It refers to the distribution of individuals in a population across different age groups, including those that are of reproductive age as well as those above and below reproductive age.
What will the sampling distribution of the mean be if a population is normally distribution?
Also normally distributed.
In a normally distributed data set which is greater mean median or mode?
In a normal distribution the mean, median and mode are all the same value.
When is the sample mean over repeated samples from the same population or process not normally distributed?
Provided the samples are independent, the Central Limit Theorem will ensure that the sample means will be distributed approximately normally with mean equal to the population mean.
Why is the central limit theorem an important idea for dealing with a population not normally distributed?
According to the Central Limit Theorem, even if a variable has an underlying distribution which is not Normal, the means of random samples from the population will be normally distributed with the population mean as its mean.
When you draw a sample from a normal distribution what can you conclude about the sample distribution?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
What is the nature of symmetry if median is greater than the mean?
Generally, when the median is greater than the mean it is because the distribution is skewed to the left. This results in outliers or values further below the median than above the median which results in a lower mean value than median value. When a distribution is skewed left, it is generally not very symmetrical or normally distributed.
What percentage of the normally distributed population lies within the plus or minus one standard deviation of the population mean?
68.2%
What does it mean for a population to be normally distributed?
A Gaussian distribution is the "official" term for the Normal distribution. This is a probability density function, of the exponential family, defined by the two parameters, its mean and variance. A population is said to be normally distributed if the values that a variable of interest can take have a normal or Gaussian distribution within that population.
Why do population follow normal distribution?
The form of this question incorportates a false premise. The premise is that the data are normally distributed. Actually, is the sample mean which, under certain circumstances, is normally distributed.
Why is it important to know if the data is from a normally distributed population when calculating the mean?
Why wood u say that because that .
True or false a distribution of sample means is normally distributed with a mean equal to the population mean and standard deviation equal to the standard error of the mean?
True.
When the population is normally distributed population standard deviation s is unknown and the sample size is n equals 15 the confidence interval for the population mean s is based on the?
The Z test.
