Quiz 5 Psych100

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University of California, Los Angeles *

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100A

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Statistics

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Feb 20, 2024

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Time Remaining: 02:51 Time Remaining: 02:49 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 5 (Chapter 8). Keep track of time as you work through each question. Each question is worth one point (except when otherwise indicated). Check all that apply questions include a small penalty for checking incorrect options. Some questions will require you to use R. You can use the R-sandbox or Rstudio. You may want to open the Sandbox now and connect before your quiz timer starts. You may use your textbook, R Cheatsheet , Google, or any other resources (other than people) to help. 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? Edvin

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. Which of the following is a correct equation for the F-statistic? ( Check all that apply ) Note: MS stands for "Mean Square", SS stands for "Sums of squares", df stands for "degrees of freedom" Morales 706286192

Imagine you have a dataset called students , and there is a variable which is weight measured in pounds (lbs), but you would like to add a new variable to the dataset called weight.kg which is weight measured in kilograms. Which of the following codes would do that? Take a look at the following plot: Why is the bar in the box not in the center of the box? Consider a small sample with two conditions (where X can be 0 or 1). Which of the following is a possible shuffle of the original data: students$weight.kg <- students$weight*.45359 students$weight.kg <- weight*.45359 weight.kg <- weight*.45359 students <- students$weight*.45359 There is more data below the bar than above it The data is skewed left The data is skewed right The bar should always be in the middle so this is a programming error

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following is a possible shuffle of the original data: Original data: 0, 0, 0, 1, 1 Check all that apply Find the median of the following list of numbers (hint: you can use R to do this) 10, 17, 14, 17, 3, 3, 12, 12, 20, 10 Regarding the below graph, what would be the advantage of using the gf_dhistogram function instead of the gf_histogram function 1, 0, 0, 1, 0 0, 1, 0, 0, 0 0, 0, 0, 1, 1 1, 1, 1, 0, 0 11 12 15 11.8

Consider a model with 5 groups used to predict a quantitative outcome variable. How many X variables are needed in the GLM? Graph A and Graph B are histograms with the exact mean added to the plot as a vertical line. Which of the two graphs could be a graph of residuals from a simple model? gf_dhistogram plots the densities, so we can more easily compare groups that are different sizes gf_dhistogram would stack the plots vertically rather than horizontal, which makes it easier to see if the centers are similar across color of the book gf_dhistogram plots the actual data whereas gf_histogram plots an estimate of the data gf_dhistogram plot the densities, so we can correct for things like sampling variability 5 6 4 1 Graph A Graph B Neither Graph A or B can be residuals because they are not normally distributed Both Graph A and B can be graphs of residuals

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In R there is a dataset called FishGills3 . Fish were randomly assigned to three tanks with different levels (low, medium and high) of calcium (Variable name is Calcium ). Respiration rate was measured as number of gill beats per minute (Variable name is GillRate ). You can see the beginning of the dataset by typing head(FishGills3) . The Cohen's d comparing High vs. Low calcium levels is -0.686. What is the correct interpretation of this statistic? What does the following R code do? do(200)*mean(rnorm(50,0,1)) HINT: You can try it in the R Sandbox! In R there is a dataset called FishGills3 . Fish were randomly assigned to three tanks with different levels (low, medium and high) of calcium (Variable name is Calcium ). Respiration rate was measured as number of gill beats per minute (Variable name is GillRate ). 0.686% of variability in Gill Rate is explained by being in the high vs. low condition Fish in the low calcium condition beat their gills .686 standard deviations slower than the high calcium condition on average. Fish in the low calcium condition beat their gills .686 beats per minute slower than the high calcium condition on average. 68.6% of variability in Gill Rate is explained by being in the high vs. low condition Generates 50 samples, each sample has 200 cases from a normal distribution, and calculates the mean of each sample Generates 50 samples, each sample has 200 cases from a normal distribution, and calculates the mean of the means of each sample Generates 200 samples, each sample has 50 cases from a normal distribution, and calculates the mean of the means of each sample Generates 200 samples, each sample has 50 cases from a normal distribution, and calculates the mean of each sample

gill beats per minute (Variable name is GillRate ). You can see the beginning of the dataset by typing head(FishGills3) . Fit a simple model to the GillRate variable in the FishGills3 data. What are the residual degrees of freedom from this model? Edvin: 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. You are now done with the quiz. You cannot return to your previous questions. Please answer the following questions about your experience with this quiz. As a reminder, you are not required to answer these questions. They are part of a research study. Answering or not answering these questions will not impact your grade . How difficult did you find the questions on this quiz? How well do you think you learned the course content addressed by these 90 1 89 87 Yes, I am done! Very easy Easy Medium Somewhat difficult Difficult

Powered by Qualtrics A How well do you think you learned the course content addressed by these questions? Not well at all Somewhat well Well Very well Extremely well

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