Question

T has a t distribution with b degrees of freedom. T2 therefore has an F distribution...

T has a t distribution with b degrees of freedom. T2 therefore has an F distribution with 1 and b degreees of freedom. Using the formula for t distribution and transformation theory, find the density function of F=T2. You must start with the complete formula for the t distribution.

Be careful as this is not a one to one transformation. Verify that the derived solution is the formula for F distrubtion in the case that a=1.

This shows a relation between the critical points in t and F charts. Compare the 5% significace point for t sided t test with 20 degrees freedom and the 5% significance point for an F test. Explain the comparison.

Homework Answers

Answer #1

Let s shows the sample standard deviation, shows the populaiton mean, shows the sample mean, is population standard deviation. and is sample size.

Chi sqaure distribution with (k-1) degree of freedom will be

Here we will use following relationships between the variables:

Relation between standard normal distribution Z and chi-sqaure distribution:

Relation between F distribution and chi-sqaure distribution:

-------------

Relationship between t-square and F:

t-statistics with degree of freedom will be

Now squaring both sides gives:

Hence, proved.

------------------------

Critical value of t for df=20 and 0.05 significance is: 2.086

The critical value of F for df1=1 and df2 = 20 and 0.05 significance is: 4.351

Since so results verified.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A significance test for comparing two means gave t = -1.97 with 10 degrees of freedom....
A significance test for comparing two means gave t = -1.97 with 10 degrees of freedom. Can you reject the null hypothesis that the M’s are equal vs the one-sided alternative at the 5% significance level? Step 1: True or false: we can reject in favor of the two-sided alternative at the 5% level Step 2: True or false we can reject the null hypothesis in favor of M1 < M2
Given a variable that has a t distribution with the specified degrees of freedom, what percentage...
Given a variable that has a t distribution with the specified degrees of freedom, what percentage of the time will its value fall in the indicated region? (Round your answers to one decimal place.) (a) 10 df, between -1.81 and 1.81 % (b) 10 df, between -2.23 and 2.23 % (c) 24 df, between -2.06 and 2.06 % (d) 24 df, between -3.47 and 3.47 % (e) 24 df, outside the interval from -2.80 to 2.80 % (f) 24 df,...
Given a variable that has a t distribution with the specified degrees of freedom, what percentage...
Given a variable that has a t distribution with the specified degrees of freedom, what percentage of the time will its value fall in the indicated region? (Round your answers to one decimal place.) (a) 10 df, between -2.23 and 2.23 ___ % (b) 10 df, between -3.17 and 3.17 ___% (c) 24 df, between -2.49 and 2.49 ___% (d) 24 df, between -3.47 and 3.47 ___% (e) 23 df, outside the interval from -2.81 to 2.81 ___% (f) 24...
Given a variable that has a t distribution with the specified degrees of freedom, what percentage...
Given a variable that has a t distribution with the specified degrees of freedom, what percentage of the time will its value fall in the indicated region? (Round your answers to one decimal place.) (a) 10 df, between -2.23 and 2.23 % (b) 10 df, between -3.17 and 3.17 % (c) 24 df, between -2.06 and 2.06 % (d) 24 df, between -2.49 and 2.49 % (e) 25 df, outside the interval from -2.79 to 2.79 % (f) 24 df,...
(a) standard error        (b) F-ratio                   (c) assumption      (d) degrees of freedom (e) null...
(a) standard error        (b) F-ratio                   (c) assumption      (d) degrees of freedom (e) null hypothesis      (f) control group         (g) experiment      (h) alternative hypothesis       (i) power                     (j) normal distribution (k) randomness     (l) directional test (m) effect size             (n) single-blind           (o) double-blind   (p) sampling distribution (q) Type I error           (r) Type II error          (s) Cohen’s d      (t) central limit theorem 1) The probability to reject the null hypothesis (when it is indeed false) refers to (   type I...
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of...
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer. Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at row B, the annual...
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of...
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer. Suppose that at five weather stations on Trail Ridge Road in Rocky Mountain National Park, the peak wind gusts (in miles per hour) for January and...
Independent-Samples t-Test In a research project, researchers track the health and cognitive functions of the elderly...
Independent-Samples t-Test In a research project, researchers track the health and cognitive functions of the elderly in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10....
1. After performing an ANOVA test, with (3,4) degrees of freedom, for data collected during an...
1. After performing an ANOVA test, with (3,4) degrees of freedom, for data collected during an experiment trying to determine if there is at least one difference between groups. You get a calculated F value of 7.52. Using the table below, find the appropriate critical F value. What should be your conclusion(s), based on those 2 F values and α? Select ALL that apply Critical values of F (α= 0.05) Group of answer choices: A. My calculated F value is...
T F 1. A p-value of .008 in hypothesis testing means there is only a .8%...
T F 1. A p-value of .008 in hypothesis testing means there is only a .8% chance we could get such sample statistics from the population if the null hypothesis is as stated. Such an event is considered unlikely and we would reject the null hypothesis. T F 2. As a general rule in hypothesis testing, it is always safer to set up your alternate hypothesis with a greater-than or less-than orientation. _____3. If the level of significance is .02...