7. Determine whether a normal distribution or a normal distribution or t distribution should be used or whether neither of should be used to construct a confidence interval for the mean. (Section 6.2) Circle the correct answer. in a random sample of 22 families, the mean weekly food expense was $95.60 with a sample standard deviation of $22.50. Assume the weekly food expense is normally distributed. A) Normal distribution B) t-distribution C) Neither For a sample of 20 IQ scores...
If I has a normal distribution, then 7 always has a normal distribution. True False Under what condition does the sample mean ī not have a normal distribution? Population is not normal but the sample size n > 30. Population is not normal and sample size n <30. Population is normal. The Central Limit Theorem for a sample mean (@) is very important in Statistics because it states that for large sample sizes, the population distribution is approximately normal. for...
When transforming a normal distribution to the standard normal distribution, what changes? The shape of the distribution Nothing How the values are distributed in relationship to each other The mean and the standard deviation
) (True/False) A standard normal distribution is the same thing as a normal distribution except that µ and σ are set to the value of 1.
If the Z- score of normal distribution is 3.5 , the mean of the distribution is 35 and the standard deviation of normal distribution is 3 then the value of X for a normal distribution is ( show how you get the answer ) A. 97.5 B. 45.5 C. 52.5 D. 67.5
Is it correct that every distribution will eventually converge to the normal distribution? Or is it only the distribution of unbiased/iid events? For example, if we toss two biased dice for an infinite amount of time (biased to only give the combined outcome of 11 or some other number), will the distribution of its outcomes then converge to the uniform distribution or to the normal distribution?
Find the MLE of the normal distribution and the poisson distribution.
we were told that the distribution is normal. if the shape of the distribution was not stated, we would not have been able to use the normal distribution table to find the probability. what does the central limit theorem tell us to do to be able to normalize distribution? what is the rule of thumb for normalizing the sampling distribution of means?
In a study using 16 samples and no indication of a normal distribution, the distribution that should be used to calculate confidence intervals is a. a t distribution with 16 degrees of freedom b. a t distribution with 17 degrees of freedom c. a t distribution with 15 degrees of freedom d. a normal distribution
What is the difference between the t-distribution and the standard normal distribution? A. The t-distribution has thicker tails than the standard Normal distribution. B. The t-distribution is "bell-shaped". C. The mean of the t-distribution is 0. D. The t-distribution is unimodal and symmetric.