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Does Chi-square distribution becomes more skewed as the degrees of freedom increase?
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What does when the sample size and degrees of freedom is sufficiently large the difference between a t distribution and the normal distribution becomes negligible mean?
The t-distribution and the normal distribution are not exactly the same. The t-distribution is approximately normal, but since the sample size is so small, it is not exact. But n increases (sample size), degrees of freedom also increase (remember, df = n - 1) and the distribution of t becomes closer and closer to a normal distribution. Check out this picture for a visual explanation: http://www.uwsp.edu/PSYCH/stat/10/Image87.gif
What are characteristics of the X2?
It is not negative. it is positively skewed, and it approaches a normal distribution as the degrees of freedom increase. Its shape is NEVER based on the sample size.
When do you use a z - table compared with when you use a t - table?
For statistical tests based on (Student's) t-distribution you use the t-table. This is appropriate for small sample sizes - up to around 30. For larger samples (or degrees of freedom), the t-distribution becomes very close to the Standard Normal distribution so you use the z-tables.
How to calculate the degrees of freedom for t-distribution?
n-1
Does the t distribution always has n degrees of freedom?
Yes it does.
What does when the sample size and degrees of freedom is sufficiently large the difference between a t distribution and the normal distribution becomes negligible mean?
The t-distribution and the normal distribution are not exactly the same. The t-distribution is approximately normal, but since the sample size is so small, it is not exact. But n increases (sample size), degrees of freedom also increase (remember, df = n - 1) and the distribution of t becomes closer and closer to a normal distribution. Check out this picture for a visual explanation: http://www.uwsp.edu/PSYCH/stat/10/Image87.gif
How does sample size affect t score?
The estimated standard deviation goes down as the sample size increases. Also, the degrees of freedom increase and, as they increase, the t-distribution gets closer to the Normal distribution.
What are characteristics of the X2?
It is not negative. it is positively skewed, and it approaches a normal distribution as the degrees of freedom increase. Its shape is NEVER based on the sample size.
What is the increase in room temperature from -8 degrees to 20 degrees?
The increase in room temperature is 28 degrees.
List and describe three degrees of market coverage?
intensive distribution, exclusive distribution, and selective distribution.
What substance becomes liquid at 1800 degrees?
Iron becomes liquid at 1800 degrees.
Which is greater an increase of 5 degrees Fahrenheit or an increase of 5 degrees celsius?
An increase of 5 degrees Celsius is greater than an increase of 5 degrees Fahrenheit because the Celsius scale is larger than the Fahrenheit scale. In Fahrenheit, an increase of 1 degree is equivalent to 0.5556 degrees in Celsius.
What does the student's t-distribution refer to in statistics?
The Student's T- Distribution is a type of probability distribution that is theoretical and resembles a normal distribution. The Student T- Distribution differs from the normal distribution by its degrees of freedom.
What is the change in temperature from -5 degrees to 7?
The change in temperature from -5 degrees to 7 degrees is an increase of 12 degrees. (7 - (-5) = 12)
When do you use a z - table compared with when you use a t - table?
For statistical tests based on (Student's) t-distribution you use the t-table. This is appropriate for small sample sizes - up to around 30. For larger samples (or degrees of freedom), the t-distribution becomes very close to the Standard Normal distribution so you use the z-tables.
A 1.00-degree increase on the Celsius scale is equivalent to a 1.80-degree increase on the Fahrenheit scale. The temperature of a fluid increases by 48.0 and degC. What is this increase in degrees Fah?
The increase in degrees Fahrenheit would be 86.4 degrees. This can be calculated by multiplying the increase in degrees Celsius (48.0) by the conversion factor of 1.80.
Why increasing temperature from 3degrees C to 6 degrees does not double temperature?
The increase from 3 degrees Celsius to 6 degrees Celsius represents an increase of 3 degrees, not doubling the temperature. Doubling the temperature would require an increase from 3 degrees Celsius to 6 degrees Celsius.
