The professor constructed a table of correlation coefficients between his scores and those of his TAS. Select the correct missing correlation.Teaching Assistant #1Teaching Assistant #2Professor Teaching Assistant #10.3210.40Based on the correlation table, the professor should arrive at which of the following conclusions?The professor and TA #2 are well calibrated, but TA #1 is off.The professor and both of his TAs are well calibrated.The two TAs are well calibrated with each other but not with the professor.The professor and TA #1 are well calibrated, but TA #2 is off.The professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to z-scores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scoreswillthe correlation between the professor's scores and TA #1's and TA #2's scores. Imagine that a professor of anthropology has two teaching assistants (TAS) who will help him grade assignments for the duration of the semester. Theprofessor wants to make sure that he and the TAs are well calibrated with one another, so he has all three of them grade the first assignmentindependently. Because the professor grades every assignment on a curve, he first converts the students' scores to z-scores for each grader. Thefollowing table shows the z-scores for a population of 10 students in his class for each grader.Student 1Student 2Student 3Student 4Student 5Student 6Student 7Student 8Student 9Student 10Professor1.27-1.63-0.120.88-1.030.32-1.461.140.580.06Teaching Assistant #1 Teaching Assistant #21.27-0.600.380.78-1.270.11-2.170.830.470.200.630.85-0.942.20-0.510.45-0.990.02-0.51-1.21The professor is going to use the z-scores to calculate the correlation coefficient between his scores and those of his TAS. To calculate the correlationcoefficient, he sums the products of the z-scores. The professor should divide this sum by

Given,a professor wants to test his two teaching assistants with their grading systems.To answer all…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below. Correlations Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed) .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142 N 51 51 Question What is the sample? What is the dependent variable? What is the independent variable?
A standardized exam's scores are normally distributed. In a recent year, the mean test score was 1471 and the standard deviation was 318. The test scores of four students selected at random are 1910, 1210, 2210, and 1370. Find the z-scores that correspond to each value and determine whether any of the values are unusual. The z-score for 1910 is (Round to two decimal places as needed.)
12 Shoe Size of Student 12 CO 12 Ages and Shoe Sizes of Students in Ms. Ochoa's Class 6 The correlation coefficient is 0.123 as .123.) 11 12 13 Age of Student (years) 1 14 (Round answer to three decimal places. Do not write
J 2 for a data set of weights (pounds) And Highway fuel consumption amounts mpg of four types of automobile, the linear correlation coefficient is found in the P value is 0.009. Write a statement that interprets the P value and includes a conclusion about linear correlation. The P value indicates that the probability of a Lydia correlation coefficient that is at least as extreme is (answer)% which is (high/low) so there (is not/ is) sufficient evidence to conclude that there's a linear correlation between weight and highway fuel consumption and automobiles. (type an integer or a decimal. Do not round)
4 2. Which of the following correlation coefficients would correspond to a strong linear relationship in a data set? OA. O OB. 0.5 O c. 0.9 OD 100
Q. 1 Given below is an output of Pearson correlation. Report direction, strength of relationship between height and shoe size and whether this relationship is significant or not. (2) Correlations age height shoesize age Pearson Correlation 523 .244 Sig. (2-tailed) .121 .496 10 10 10 height Pearson Correlation 523 1 388 Sig. (2-tailed) 121 .268 N. 10 10 10 shoesize Pearson Correlation 244 388 Sig. (2-tailed) 496 268 10 10 10
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A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below. Correlations Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed) .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142 N 51 51 Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration. Step 3 Step 4 Based on your decision to step 4 what type of error might you be making?
Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.
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What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 11 5 Score 82 68 70 63 62 54 78 69 x-values y-values a. Find the correlation coefficient: r = b. The null and altemative hypotheses for correlation arer Ho: ?v H: ?v to Round to 2 decimal places. = 0 The p-value is: (Round to fsur decimal places) d. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. Select an answer p² = (Round to two decimal places) f. Interpret 2 : Select an answer g. e. The equation of the linear regression line is: = (Please show your answers to two decimal places) h. Use the model to predict the final exam score for a student who spends 7 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) i. Interpret the slope of the regression line in the context of the question: Select an answer j.…
Hellen has just started a new years competition for her local climbing gym. There are two categories for this competition: singles and group (18 people). The rules are simple, put in the most hours in one months time and you get a guided tour to climb Ten Sleep canyon. She knows from running this competition over the years that the number of hours climbers at her gym spend training during this competiton is approximately normal and their mean competition hours per month in the gym are 24 hrs with a standard devaition of 6 hrs If someone puts in between 25.5-32.1 hours on the wall they get a Mountain Goat shirt. What percent of the singles competitors is expected to get a shirt? In the group stage this year the winning group was in the 81 th percentile. What was their average time? The group stage is up for getting Gecko Socks if they also land between 25.5-32.1 hours on the wall on average. What prercent of the groups are expected to qualify for the socks?

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