with increasing sample size, the t distribution tends to become flatter in shape. true or false
If we increases the sample size, the t ditribution tends to become bell shape.
With increasing sample size, the t distribution tends to become flatter in shape. This statements is false.
False.
with increasing sample size, the t distribution tends to become flatter in shape. true or false
As sample size increases, the shape of t-distribution ______. is more similar in shape to the normal z-distribution. is flatter and more spread out than the normal z-distribution. is taller and narrower than the normal z-distribution. cannot be specified, making hypothesis tests impossible.
Student t distribution is used when the sample size is less than 30. True or false
True/false With infinite degrees of freedom the t distribution is identical in shape to the unit normal z distribution.
Hidden biases in non-probability samples can be eliminated by increasing the sample size. True False
True or False? If the sample size is equal to 40 and the true proportion is equal to 0.25, then the z-distribution can be used instead of the binomial distribution for calculating probabilities. True or False? When sampling from a normal distribution where the mean= u and variance= o^2, then the sampling distribution for x will also have a mean= u and a variance= o^2
QUESTION 5 Which statement concerning the t-distribution is false? O AT follows a standard normal distribution OB. The smaller the degrees of freedom the flatter the curve. OC. The t-distribution has a larger standard deviation than the Standard Normal Curve. OD. T-distributions have a mean of 0. o E. The total area under the density curve depends on the degrees of freedom. QUESTION 6 The t-procedures are robust when A. sample size is 12 and the sample data is not...
True or False? when sample data occurs in pairs, an advantage of choosing a paired t-test is that it tends to increase the power of a test, as compared to treating each sample independently. True or False? When testing the difference between two population proportions, it is necessary to use two samples with the same sample size. True or False? If the sample proportions are p1=6/90 and p2=4/100, we can assume normality for the two sample proportions in a test...
The t-distribution and the standard normal distribution diverge(become very different) as the degree of freedom become very large( that is,approach infinity). true or false
As the sample size n increases, the shape of the distribution of the sample means taken with replacement from a population with mean and standard deviation of a will approach a normal distribution. This distribution will have a mean of u and a standard deviation of this statement summarizes the
Which of the following is NOT a true statement? A. Like the z distribution, the t distribution is bell shaped, symmetrical, and centers around 0. B. The t distribution is flatter and has fatter tails than the z distribution, which makes it more appropriate for the greater sample-to-sample variability in small samples C. Like the z distribution, there is only one t distribution. D. With sample sizes of 120 or more, the t distribution becomes virtually identical to the z...