Question

explain the difference between creating a sampling distribution (i.e. plotting sample means or sample proportions in...

explain the difference between creating a sampling distribution (i.e. plotting sample means or sample proportions in a probability distribution) vs. plotting individual data points.

explain why it makes sense that increasing the sample size should decrease the standard deviation in a normal distribution. Explain what this does to the overall shape of the normal curve

Homework Answers

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
PLEASE TYPE ANSWERS. THANKS! 1. What is the sampling distribution model for a difference between proportions?...
PLEASE TYPE ANSWERS. THANKS! 1. What is the sampling distribution model for a difference between proportions? (i.e., what is the mean and standard deviation of this distribution?) Use both words and formulas. 2. What is a two-proportion z-interval? Use words and symbols.
Question 2: Which of the following statements about the sampling distribution of means is not true?...
Question 2: Which of the following statements about the sampling distribution of means is not true? A. A sample distribution's mean will always equal the parent population distribution's mean B. The sampling distribution of means approximates the normal curve. C. The mean of a sampling distribution of means is equal to the population mean. D. The standard deviation of a sampling distribution of means is smaller than the standard deviation of the population.
Describe the distribution of sample means (i.e., shape, measure of central tendency, and variability) for samples...
Describe the distribution of sample means (i.e., shape, measure of central tendency, and variability) for samples of size n = 49 selected from a population with mean µ = 14 and standard deviation σ = 7. Be specific and calculate as necessary.
The spread or variation in the sampling distribution of means is called the __________ of the...
The spread or variation in the sampling distribution of means is called the __________ of the mean. Group of answer choices: Standard error Standard deviation Standardization Standard dispersion ---- The Central Limit Theorem tells us that : . Group of answer choices - If we keep taking samples from a population, and plot those means on a curve, they will form a bell-shaped, or normal, curve. - Standard error is a measure of how much the sample means do vary....
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose...
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose 1 response : a. If the population is Normally distributed b. If there is no information about population distribution and sample size is 24 c. If the population is not Normally distributed and sample size is 24 d. If population is not Normally distributed but sample size n≥30
Can a normal approximation be used for a sampling distribution of sample means from a population...
Can a normal approximation be used for a sampling distribution of sample means from a population with μ=43 and σ=8, when n=36? Answer TablesKeypad Yes, because the mean is greater than 30. No, because the sample size is more than 30. Yes, because the sample size is at least 30. No, because the standard deviation is too small.
1. When conducting a t test for differences between means, increasing sample size impacts the a....
1. When conducting a t test for differences between means, increasing sample size impacts the a. standard deviation of the sampling distribution b. degrees of freedom c. t score d. all of the above 2. In terms of finding importance vs. statistics a. researchers can analyze importance as well as significance b. there is no difference between importance and significance c. the distinction is entirely dependent upon data d. researchers cannot formally assess importance 3. When finding significance involving two...
Select the correct definition of a sampling distribution of a sample proportion. a. a probability distribution...
Select the correct definition of a sampling distribution of a sample proportion. a. a probability distribution of the count of a certain characteristic of interest for all possible random samples of size ?ntaken from a population b. a probability distribution of the sample proportions of a certain characteristic of interest for all possible random samples of size ?n taken from the population c. a probability distribution of a population proportion of a certain characteristic of interest for all possible random...
1) Determine whether the following hypothesis test involves a sampling distribution of means that is a...
1) Determine whether the following hypothesis test involves a sampling distribution of means that is a normal distribution, Student t distribution, or neither. Claim about IQ scores of statistics instructors: μ > 100. Sample data: n = 15, x ¯= 118, s = 11. The sample data appear to come from a normally distributed population with unknown μand σ. a) student T-distribution b) Normal distribution c) Neither 2) Determine whether the following hypothesis test involves a sampling distribution of means...
Describe the sampling distribution for sample proportions and use it to identify unusual (and more common)...
Describe the sampling distribution for sample proportions and use it to identify unusual (and more common) sample results. ________________________________________ SAT scores: According to the College Board website, 1,672,395 students from the class of 2014 took the SAT, a globally recognized college admissions test. The mean mathematics score was 513 with a standard deviation of 120. SAT College Board 2014 College Bound Seniors Total Group Profile Report (2014). College Board. http://research.collegeboard.org/programs/sat/data/cb-seniors-2014 True or false? The mean mathematics score of 513 is...