Quiz 7 (module 10)

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Dec 6, 2023

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Time Remaining: 22:27 Time Remaining: 22:25 Below is a summary of your responses Download PDF We thank you for your time spent taking this survey. Your response has been recorded. Welcome to Psych 100A Quiz (Chapter 10). Work your way through all the questions first, to make sure you don't run out of time. Then go back and think more about the ones you aren't sure of. Each question is worth one point (except when otherwise indicated). Check all that apply questions include a small penalty for checking incorrect options. You can use the R-sandbox or Rstudio. You may use your textbook, R Cheatsheet , Google, or any other resources (other than people) to help. I recommend you use Chrome for completing the quiz. You can still close and reopen this link without affecting the time you have to complete the quiz. Keeping Time: There is a timer at the top of the quiz page. If you close the window and open it again, the clock will restart. However, data is only recorded up until 50 minutes after you started the timer on the first window. Data is collected on the time from start to finish of your quiz, and if more than 50 minutes passes between when you start and end the quiz you will receive a 0 on the quiz. What is your First Name? What is your Last Name? What is your 9-digit student ID? (Please include only the digits, no dashes, commas, or spaces; and please use leading zeros so your ID has exactly 9 digits (e.g., 123456789). You can use the R-sandbox or Rstudio. You may use your textbook, R Cheatsheet , Google, or any other resources (other than people) to help. Sean Park 405406173

Standard error is .... ( Check all that apply ) Consider a research study, where researchers are trying to estimate the average time that college students spend on their phone each day. They survey a sample of college students, and each student reports their hours on their phone the previous day. The researchers then take the average across all participants in the sample. Match the cases to each of types of distributions for this specific example. (i.e., What are the cases in each kind of distribution?) Lucinda is doing a research project and is estimating the mean of an outcome variable in a sample of 50 participants. She wants to know what the sampling distribution would look like if the population mean was 2, the population standard deviation was 12. She is assuming her outcome variable is normally distributed. She wants to simulate 2000 samples from the sampling distribution. Which of the following is the correct line of code? Which of the following is an example of sampling variability? the standard deviation of a sample distribution unrelated to sample size the standard deviation of a sampling distribution A quantification of sampling variability Samples of College Students College Students Time on phone Sampling distribution Sample distribution Population distribution do(50)*mean(rnorm(50, 2, sqrt(12))) do(2000)*mean(rnorm(50, 2, 12)) do(50)*mean(rnorm(2000, 2, 12)) do(2000)*mean(rnorm(50, 2, 12^2)) Each time we take a random sample, the mean of a specific variable may be different In many samples, the mean and the standard deviation may not be equal The average of the outcome variable may be different from the average of the explanatory variable There is variability among participants within a sample

Sampling distributions are used for which of the following .... ( Check all that apply ) The central limit theorem tells us that if the population mean is 4 and the population standard deviation is 2, then the sampling distribution of the sample mean will be centered around... Home Prices Data The next few questions all apply to the following dataset: Data for samples of homes for sale in California, selected from zillow.com in 2010. The data frame HomesForSaleCA has 30 observations on the following 5 variables. State Location of the home: CA Price Asking price (in $1,000’s) Size Area of all rooms (in 1,000’s sq. ft.) Beds Number of bedrooms Baths Number of bathrooms Home Prices: What is the average Price of the homes in the HomesForSaleCA dataset? Conducting Model comparison Generating a confidence interval Estimating the standard deviation of the sample None of the above 4 1/2 2 0 $715,100 $2,100,000 $210,000 $715.10

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Home Prices: Use the estimated standard deviation and sample size to calculate the estimated standard error for the mean of Price . Home Prices: If the sample size had been larger (e.g., 100) and the estimated standard deviation was the same, what would happen to the standard error? Home Prices: Looking at the distribution of home prices, the distribution is quite skewed. What does this tell us about the shape of the sampling distribution of the mean of home prices? Home Prices: If the true population average home price was $800,000 in 2010, what is the probability of us observing the mean we observed in this sample or lower? $715.10 203.06 225850 1112.22 37.07 We cannot tell It would be larger It would be smaller It would be the same The sampling distribution of the mean will be normal at small sample sizes, and get more skewed as sample size increases The sampling distribution of the mean will be skewed at small sample sizes, and get more normal as sample size increases The sampling distribution of the mean will also be normal, regardless of sample size The sampling distribution of the mean will also be skewed, regardless of sample size 0.034 0.66 0.34 0.47

Powered by Qualtrics A Home Prices: If the true population average home price is $800,000 in 2010, is it likely or unlikely to have observed the mean that we observed or something lower? Classify likely as anything that is 5% or greater. Sean: You are at the end of the quiz. Do not click the red Submit arrow until you are done with the exam. Are you done with your exam? If yes, click "Yes, I am done!" below, and then click the red Submit arrow. (If you are not done go back and review your previous answers.) Unlikely Likely Yes, I am done!

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