What is the probability of getting 100?
Thanks for A2A , According to questions point of view -Mathematically, the probability of scoring 100 marks out of a 100 marks test is 1/101 .
What is the probability of scoring 100 marks in 100 marks exam?
According to questions point of view -Mathematically, the probability of scoring 100 marks out of a 100 marks test is 1/100 .
What is the probability of scoring 75 marks in 100 marks test?
Now we are going to find the probability of an event $E$ by using the definition. That is, $P\left( E \right) = \dfrac{{n\left( E \right)}}{{n\left( S \right)}}$. Hence, the probability that one will get $75$ marks in the question paper of $100$ marks is $\dfrac{1}{{101}}$. Hence, option A is correct.
Why is the t distribution used in the Student’s t test?
It is this result that is used in the Student’s t-tests: since the difference between the means of samples from two normal distributions is itself distributed normally, the t-distribution can be used to examine whether that difference can reasonably be supposed to be zero.
When to use paired t test in statistics?
When one randomly takes replicate measurements from a population he/she is collecting an independent sample. Use of a paired t test, to which some statistics programs unfortunately default, requires nonrandom sampling (see below).
What is a probability of 0.4 on the t test?
A probability of 0.4 would mean that there is a 40% liklihood that you cannot distinguish a group of basketball players from a group of football players by height alone. That’s about as far as the t test or any statistical test, for that matter, can take you.
When is Student’s t test insensitive to equality of variances?
Assumptions. If the sample sizes in the two groups being compared are equal, Student’s original t -test is highly robust to the presence of unequal variances. Welch’s t-test is insensitive to equality of the variances regardless of whether the sample sizes are similar.