answersLogoWhite

0

T-distributions tend to be flatter and more spread out than normal distributions due to their heavier tails. Unlike the normal distribution, which has thin tails, t-distributions account for uncertainty in sample variance estimation, making them more robust for smaller sample sizes. The additional variability inherent in t-distributions arises from the incorporation of the sample size through the degrees of freedom parameter. As the degrees of freedom decrease, the t-distribution becomes more spread out and flatter, reflecting increased uncertainty and variability in the estimates. This property makes t-distributions well-suited for inferential statistics, particularly when dealing with small sample sizes.

User Avatar

ouma alphonce

Lvl 2
1y ago

What else can I help you with?

Related Questions

Why in a normal distribution the distribution will be less spread out when the standard diviation of the raw scores is small?

The standard deviation (SD) is a measure of spread so small sd = small spread. So the above is true for any distribution, not just the Normal.


Is the normal distribution always being defined by the mean and standard deviation?

Yes, the normal distribution is uniquely defined by its mean and standard deviation. The mean determines the center of the distribution, while the standard deviation indicates the spread or dispersion of the data. Together, these two parameters specify the shape and location of the normal distribution curve.


Is the middle spread that is the middle 50 percent of the normal distribution is equal to one standard deviation?

false


What does the normal allow you to measure?

The normal distribution allows you to measure the distribution of a set of data points. It helps to determine the average (mean) of the data and how spread out the data is (standard deviation). By using the normal distribution, you can make predictions about the likelihood of certain values occurring within the data set.


What happens in a normal distribution when the means are equal but the standard deviation changes?

The two distributions are symmetrical about the same point (the mean). The distribution where the sd is larger will be more flattened - with a lower peak and more spread out.


What standard deviation tells us about a distribution?

It is a measure of the spread of the distribution: whether all the observations are clustered around a central measure or if they are spread out.


What is a 10 point grading scale?

With a 10 point grading scale the results (of a test etc.) are given a value between 0 and 9 or 1 and 10. If the grading is "on a curve" than the distribution of the various grades is spread on a Gaussian normal distribution.


Is normal distribution symmetrical?

Yes. By definition. A normal distribution has a bell-shaped density curve described by its mean and standard deviation. The density curve is symmetrical(i.e., an exact reflection of form on opposite sides of a dividing line), and centered about (divided by) its mean, with its spread (width) determined by its standard deviation. Additionally, the mean, median, and mode of the distribution are equal and located at the peak (i.e., height of the curve).


What is spread?

In a statistical sense, spread, otherwise known as statistical dispersion, is one of various measures of distribution.


What is the difference between a population distribution and sampling distribution?

Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.


What is the definition of spread math?

Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.


How do outliers influence the shape and spread of the data?

Outliers will make give the graph a long tail (or tails). Overall, the graph will be flatter and wider.

Trending Questions
What if your mch is 33.4? What the probability that Fred will get a black sweet if there 3 yellow sweets 5 green sweets 7 red sweets 4 purple sweets 1 black sweet? If each score in a set of scores were increased by 6 points how would this affect the mean and the standard deviation? What is the average hat size for a 11 year old? What is high MCH? Can you tell if you are pregnant after two days? What is the probability of rolling a number greater than or equal to 8 with the sum of two dice given that at least one of the dice must show a 6? Does a pentagon have to equal 360 degrees? What do you get with mean minus std dev? You been on your period for 2 weeks What is does that mean? Average weight of 24 year old and 6ft tall? How much percent increase is 75 to 150? What statistical concept is used to explain the natural difference that exists between a sample mean and corresponding population mean? A fair coin is tossed four times What is the probability that exactly three tosses are heads? Elizabeth would probably agree with which of these statements with regard to the events that occurred at the Netherfield ball? Is the relative frequency of surveyed girls that have sports as their activity a joint relative frequency or a marginal relative frequency? If you have mid-cycle spotting does that mean you have ovulated or are ovulating then? How many cards in a phase ten deck? What percentage of Americans own more than one house? What is the definition of statistic characters?