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What else can I help you with?
What type of distribution of a set of data that shows nearly the same frequency for all values?
The Uniform Distribution.
If a great many data values cluster to the left of a data distribution which then tails off to the right the distribution is referred to as?
It is a positively skewed distribution.
Does cumulative frequency show distribution?
Not directly, but the cumulative frequency contains the same information as the frequencies for the values in question. However, it may not show the full details of the distribution if the values have been grouped.
What is the difference between a discrete and a continuous distribution?
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
A grouped frequency distribution is used when the range of data values is relatively small. True or false?
False. When the range is large you would use a grouped frequency distribution.
What does data distribution mean?
It is the set of values that a variable can take together with the probability or frequency distribution for those values.
What is distribution in math?
Distribution is the set of values that a variable can take, along with measures relating to the likelihood of the variable taking those values.
What is the term for the phenomenon in which minority children indicate preferences for majority values or people (PS276-02.2)?
The phenomenon where minority children show preferences for majority values or individuals is known as "internalized racism" or "internalized oppression." This occurs when minority individuals adopt the beliefs, values, and standards of the dominant culture, often leading to a devaluation of their own cultural identity. It can manifest in preferences for majority group members over those from their own group.
What distribution that has a great number of values on one side?
The answer depends on one side of WHAT! There is no distribution which has a greater number of values on either side of its median.
What does a skewness of 1.27 mean?
A skewness of 1.27 indicates a distribution that is positively skewed, meaning that the tail on the right side of the distribution is longer or fatter than the left side. This suggests that the majority of the data points are concentrated on the left, with some extreme values on the right, pulling the mean higher than the median. In practical terms, this might indicate the presence of outliers or a few high values significantly affecting the overall distribution.
What are modes of distribution?
The data values with the highest frequency, gives the peak of the distribution graph.
What type of distribution of a set of data that shows nearly the same frequency for all values?
The Uniform Distribution.
If a great many data values cluster to the left of a data distribution which then tails off to the right the distribution is referred to as?
It is a positively skewed distribution.
Why is the standard deviation of a distribution of means smaller than the standard deviation of the population from which it was derived?
The reason the standard deviation of a distribution of means is smaller than the standard deviation of the population from which it was derived is actually quite logical. Keep in mind that standard deviation is the square root of variance. Variance is quite simply an expression of the variation among values in the population. Each of the means within the distribution of means is comprised of a sample of values taken randomly from the population. While it is possible for a random sample of multiple values to have come from one extreme or the other of the population distribution, it is unlikely. Generally, each sample will consist of some values on the lower end of the distribution, some from the higher end, and most from near the middle. In most cases, the values (both extremes and middle values) within each sample will balance out and average out to somewhere toward the middle of the population distribution. So the mean of each sample is likely to be close to the mean of the population and unlikely to be extreme in either direction. Because the majority of the means in a distribution of means will fall closer to the population mean than many of the individual values in the population, there is less variation among the distribution of means than among individual values in the population from which it was derived. Because there is less variation, the variance is lower, and thus, the square root of the variance - the standard deviation of the distribution of means - is less than the standard deviation of the population from which it was derived.
One of the values of a variable which divides the distribution of the variable?
A quantile.
If the mean of a symmetric distribution is 130 which of these values could be the median of the distribution?
If it is a symmetric distribution, the median must be 130.
Does cumulative frequency show distribution?
Not directly, but the cumulative frequency contains the same information as the frequencies for the values in question. However, it may not show the full details of the distribution if the values have been grouped.
