As sample size increases, the shape of t-distribution ______. |
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Option A
As sample size increases, the shape of t-distribution is more similar in shape to the normal z-distribution.
As sample size increases, the shape of t-distribution ______. is more similar in shape to the...
with increasing sample size, the t distribution tends to become flatter in shape. 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
Question 6 (3 points) A large p-value (above 10) means O we have some evidence that Ho is not true. ve have strong evidence that Ho is not true. we would not reject Ho. Which of the following value of t would indicate the strongest correlation? 0-67 Oo 0.57 For a null hypothesis, Ho: -4,000. If the 10 level of significance is used and the z-test statistic is 1.8, what is our decision regarding the null hypothesis? Do not reject...
as your sample size increases, your distri ution will more closely approximate a normal distribution. this is called: centeal limit theory z score distribution rule of approzimation theory of normality
Which of the following statements are TRUE? There may be more than one correct answer; select all that are true. r-p The statisticdoes not have a normal distribution. Vn The t distribution is used when ơ is not known in the statistic-_ , and must be estimated by s. Vm Replacing ơ with s results in less uncertainty and variability in the statistic Vn As the degrees of freedom increases, the shape of the t distribution becomes flatter. If the...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
Describe how the shape and standard deviation of a sampling distribution changes as sample size increases. In other words, describe the changes that occur to a sampling distribution according to the Central Limit Theorem. Make sure you describe what a sampling distribution is in your answer. Generate pictures/diagrams to illustrate your thoughts if you would like.
If we are considering a population that is approximately normal and we choose the sample size of n = 3, what is likely true about the shape of the sampling distribution of the sample mean? a)The shape of the sampling distribution of the sample mean is skewed left because the sample size is less than 30. b)The shape of the sampling distribution of the sample mean is skewed right because the sample size is less than 30. c)The shape of...
Which of the following is true for the t distribution? O A. There are many t distributions, depending on the sample size. OB. The t distribution approaches the Z distribution for smaller sample sizes. C. Confidence intervals will be narrower than those constructed from larger samples. OD. The distribution is positively skewed.
Which of the following is NOT a property of the t-distribution? a. it is symmetric b. its a shape size grows large, it gradually approaches the normal distribution c. its shape (spread) is determined by the degrees of of freedom d. it has fatter tails than the normal distribution e. all the above are properties of the t distribution