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Question 30 (1 point) Researchers studying high school students measured their skills playing video games (x) and solving puzzles (y). They found r=0.465 between these
Question 30 (1 point) Researchers studying high school students measured their skills playing video games (x) and solving puzzles (y). They found r=0.465 between these two variables. According to Cohen's rule of thumb for correlation coefficients, how strong is this correlation? O No correlation Small Medium Large Question 31 (1 point) Researchers studying high school students measured their skills playing video games (x) and solving puzzles (y). They computed the following descriptive statistics: T = 51.9 ST = 9.9 y = 78.6 Sy = 16.1 What is the slope of the linear equation between these variables? O0.705 1.516 1.626 O0.756 Question 32 (3 points) Complete the following statements about ANOVA. We also assume that the populations all have the 1. normal distribution same: 2. binomial distribution Therefore, the only parameter that could be different between the 3. mean samples is the: 4. standard deviation When performing an ANOVA, we assume all the 5. median populations follow a:Question 33 (1 point) You are performing a one way ANOVA on a data set with the following descriptive statistics: SSB = 31.45 5SW = 21.61 k = 3 N = 17 What is f-calculated? 7.76 O0.098 8.25 10.19 Question 34 (1 point) You are performing a one way ANOVA on a data set with the following characteristics: alpha = 0.05 k = 3 N = 17 What is f-critical? 3.739 3.197 0.0515 0.115 Question 35 (1 point) The number of levels in an ANOVA must be O at least 3 O exactly equal to 3 O no more than 3Question 18 (1 point) You are studying a population with an unknown standard deviation or mean. You collect data with a sample of size n=20. What distribution should you use? O Student's t-distribution O Normal distribution Question 19 (1 point) You are studying a population with a mean of 60 and a standard deviation of 3. You collect data on a sample of size n=50. What distribution should you use? Student's t-distribution Normal distribution Question 20 (1 point) You are studying a population with an unknown standard deviation. You collect data on a sample of size n=25. How many degrees of freedom do you have? O 23 O 24 25 26 O27 Question 21 (1 point) Cassandra wants to produce consistently sized baked goods, so she draws a sample of 12 cashew toffee tarts and weighs them (in ounces). She finds a 90% confidence interval of (3.8, 4.2). Which is the correct interpretation of the 90% confidence interval? ()She is 90% certain that the true mean mass per tart is between 3.8 ounces and 4.2 ounces. ()She is 90% certain that she should bake (and eat) more tarts just to be sure. () She is 90% certain that the true mean can be found in a sample of 4 tarts. () She is 90% certain that a sample of 12 tarts will find 4.0 ounces per tart.Question 22 (1 point) You want to test the claim that a population's mean is 15.4. Match the null hypothesis and alternative hypothesis accordingly. 1 4 = 15.4 Alternative hypothesis, Ha 2. ul > 15.4 Null hypothesis, Ho 3. u # 15.4 4. C = 15.4 Question 23 (1 point) The chi-squared distribution is symmetric, like the normal distribution and Student's t-distribution. True False Question 24 (1 point) The chi-squared test compares all values in the data set to a single point estimate. O True False Question 25 (1 point) You calculate a chi-squared value from your data that is less than the critical chi- squared value. Therefore, you O reject the null hypothesis. O retain the null hypothesis.Question 26 (1 point) Dr. Purtilo is studying the grade distribution for his engineering class. He draws up the following table for his expected distribution. Grade Proportion 92-100 .1 82-91 .2 72-81 -4 62-71 .2 0 Op = rQuestion 28 (1 point) The data in this scatterplot has what kind of correlation? 5 N 0 2 3 4 5 6 7 9 ONone Weak positive Strong positive O Weak negative Strong negative Question 29 (1 point) The data in this scatterplot has what kind of correlation? 6 5 X 1. 2 3 4 5 6 7 8 9 ONone O Weak positive Strong positive O Weak negative Strong negative
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