1. How do sampling distribution, population mean, sample mean, variability, sample size, and probability all relate to each other
2. How do probability, Type I Error, null hypothesis, and alpha all relate to each other
1. How do sampling distribution, population mean, sample mean, variability, sample size, and prob...
Suppose a population has a standard deviation of 6. You draw a random sample of size 97 and test the null hypothesis that the population mean is 95. If the true population mean is 97, what is the probability of making a Type 2 error? How large a sample size would you need to have power of 80% in a one-sided test?
1. A(n) _____________ is the distance between a score and the mean of the group of scores. Variation ratio Standard deviation Dispersion Interquartile range Mean deviation score 2. The ___________ is a probability threshold or cutoff value used in hypothesis testing that signifies the level of risk we are willing to take in making a Type I error (i.e., false positive, or rejecting a true null hypothesis). binomial distribution conditional probability null hypothesis sampling distribution alpha level 3. Researchers commonly...
please show work 1) The distribution of sample means (for a specific sample size) consists of a. All the scores contained in the sample x b. All the scores contained in the population x C. All the samples means that could be obtained (for the specific sample size) d. The specific sample mean computed for the sample of scores 2) A sample of n=25 scores is determined to have a standard error of 2 points. What is the standard deviation...
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
A sampling distribution is constructed based on a sample size of 25. If the sampling distribution has a mean of 500 and a standard error of 15, what is the standard deviation of the original comparison population? A. 60 B. 75 C. 30 D. 50
1. There is a population of three people: Xerxes, Yasmin, and Zoe. [Note: this is a population, not a sample.] They are asked how many books they read last month. Xerxes read 2 books, Yasmin read 4 books, and Zoe read 12 books. We are too lazy to poll the entire population, so we take a sample of two (with replacement and order matters). Please draw the sampling distribution of the mean ofa sample of size two. 2. Continuing with...
Question 1 1 pts The sampling distribution of the sample mean refers to d the distribution of the different possible values of the sample mean O the distribution of the various sample sizes O the distribution of the values of the objects/individuals in the population O the distribution of the data values in a given sample O none of the listed Question 2 1 pts The Central Limit Theorem states that O if the sample size is large, then the...
1. There is a population of three people: Xerxes, Yasmin, and Zoe. [Note: this is a population, not a sample.] They are asked how many books they read last month. Xerxes read 2 books, Yasmin read 4 books, and Zoe read 12 books. We are too lazy to poll the entire population, so we take a sample of two (with replacement and order matters). Please draw the sampling distribution of the mean of a sample of size two. 2. Continuing...
Use technology to create sampling distributions for a uniform population distribution. Complete parts a through d below. Population Distribution a. Use technology to create a sampling distribution for the sample mean using sample sizes n=2. Take N=5000 repeated samples of size 2, and observe the histogram of the sample means. What shape does this sampling distribution have? O A. The sampling distribution is triangular. OB. The sampling distribution is normal. OC. The sampling distribution is uniform. OD. The sampling distribution...
I need help with these sampling charts Your Turn (Continued) Sampling Distribution (n = 50) Sampling Dotplot of Proportion Len Tail Two-Tall Right Tall Sangles - 120 0.591 std error -0.068 40 30 20 10 0 0.40 0.45 0.50 0.55 0.65 0.70 0.75 0.80 In the simulation, when we are building a sampling distribution, what does each dot represent in the graph? A random sample of 50 college students - The population proportion of female college students at is 60%,...