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A set of exam questions and answer sheet for quantitative ii course, held on march 29, 1995. The exam covers various topics such as correlation coefficient, regression analysis, residual plots, normal distribution, and hypothesis testing. The exam includes multiple-choice questions, true/false questions, and problems requiring calculations.
Typology: Exams
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The exam questions and answer sheet are both to be turned in to your Discussion Section instruc- tor at the end of the exam. Please mark all of your answers on the answer sheet using a #2 pencil. Code your name, ID number, and Section number on the answer sheet.
A) True B) False
A) True B) False
A) True B) False
A) True B) False
II
Which of the following statements best describes this plot? A) The randomness shown in the plot indicates a good model. B) The plot shows that normality is a reasonable assumption. C) The plot shows that a quadratic model should be considered. D) The plot shows that least squares is an excellent criterion for fitting the line. E) The plot indicates that a parallel-lines model would explain the relationship better.
What percent of students thought the exam was easy? A) 10% B) 20% C) 30% D) 40% E) 50%
A) 20% B) 40% C) 60% D) 80% E) 100%
Student ID (^) Gender†
† 1 = female, 0 = male
Difficulty ‡
‡ 1 = easy, 2 = moderate, 3 = hard
Student ID Gender Difficulty 1 0 2 6 0 2 2 1 3 7 0 1 3 1 1 8 1 3 4 1 2 9 0 1 5 0 1 10 1 2
Which curve fits the data better in the sense of least squares? A) Curve I fits better since its residuals add to zero. B) Curve I fits better since its sum of squared residuals is smaller than for curve II. C) Curve I fits better since it is the least squares regression line for these data. D) Curve II fits better since its sum of squared residuals is smaller than for curve I. E) Curve II fits better since one of its residuals is zero.
Data
Curve I Curve^ II
y x (^) x^2 FITTED RESIDUAL FITTED RESIDUAL 1 1 1 0.7 0.3 0.75 0. 1 2 4 1.4 −0.4 0. 2 3 9 2.1 −0.1 1.75 0. 3 4 16 2.8 3.
yˆ^ = 0.7x yˆ^ = 1 – 0.5x+0.25x 2
What percent of the married people are female? (Round to the nearest whole percent.) A) 17% B) 33% C) 45% D) 50% E) 60%
Gender
Marital Status Single Married Other female 200 50 50 male 100 60 40
A) 1. B) 10 C) 86 D) 90 E) 92
A) Strongly negative B) Moderately negative C) Near zero D) Moderately positive E) Strongly positive
This plot shows that: A) normality is strongly supported. B) normality is not^ supported since the curvature in the plot indicates that the distribution is skewed towards the high values. C) normality is not supported since the curvature in the plot indicates that the distribution is skewed towards the low values. D) normal scores plots cannot be used with skewed data. E) None of the above.