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School: SanfordBrown Institute
EN 175 Advanced Mechanics of Solids Homework 1 Due on: Sep 20, 2012 Thursday (In class). 1) By carrying out the details of the summation, find a simplified form of the expressions shown below. iij ij (ii) ij jk , (iii) ij jk ki, (iv) ij Bik (v) 3jk aj ak
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 3: SAMPLING DISTRIBUTIONS TRUE/FALSE 136. The expected value of the sampling distribution of population i (i = 1, 2). ANS: T PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 9.3 137. The standard error of the difference betwe
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 1: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS: T PTS: 1 NAT: Analytic; Probability
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 4: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 170. Like that of the Student t distribution, the shape of the chisquared distribution depends on its number of degrees of freedom. ANS: T PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 4 SECTION 1: NUMERICAL DESCRIPTIVE TECHNIQUES TRUE/FALSE 1. The mean is affected by extreme values but the median is not. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 4.1 2. The mean is a measure of variability. ANS: F PTS: 1 N
School: SanfordBrown Institute
Course: Statistics
CHAPTER 14 SECTION 1: ANALYSIS OF VARIANCE TRUE/FALSE 1. The Ftest used in oneway ANOVA is an extension of the ttest of 1 2. ANS: T PTS: 1 REF: SECTION 14.1 NAT: Analytic; Variation and Uncertainty 2. We use the analysis of variance (ANOVA) technique t
School: SanfordBrown Institute
EN 175 Advanced Mechanics of Solids Homework 1 Due on: Sep 20, 2012 Thursday (In class). 1) By carrying out the details of the summation, find a simplified form of the expressions shown below. iij ij (ii) ij jk , (iii) ij jk ki, (iv) ij Bik (v) 3jk aj ak
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 3: SAMPLING DISTRIBUTIONS TRUE/FALSE 136. The expected value of the sampling distribution of population i (i = 1, 2). ANS: T PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 9.3 137. The standard error of the difference betwe
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 1: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS: T PTS: 1 NAT: Analytic; Probability
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 4: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 170. Like that of the Student t distribution, the shape of the chisquared distribution depends on its number of degrees of freedom. ANS: T PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 4 SECTION 1: NUMERICAL DESCRIPTIVE TECHNIQUES TRUE/FALSE 1. The mean is affected by extreme values but the median is not. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 4.1 2. The mean is a measure of variability. ANS: F PTS: 1 N
School: SanfordBrown Institute
Course: Statistics
CHAPTER 14 SECTION 1: ANALYSIS OF VARIANCE TRUE/FALSE 1. The Ftest used in oneway ANOVA is an extension of the ttest of 1 2. ANS: T PTS: 1 REF: SECTION 14.1 NAT: Analytic; Variation and Uncertainty 2. We use the analysis of variance (ANOVA) technique t
School: SanfordBrown Institute
EN 175 Advanced Mechanics of Solids Homework 1 Due on: Sep 20, 2012 Thursday (In class). 1) By carrying out the details of the summation, find a simplified form of the expressions shown below. iij ij (ii) ij jk , (iii) ij jk ki, (iv) ij Bik (v) 3jk aj ak
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 3: SAMPLING DISTRIBUTIONS TRUE/FALSE 136. The expected value of the sampling distribution of population i (i = 1, 2). ANS: T PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 9.3 137. The standard error of the difference betwe
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 1: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS: T PTS: 1 NAT: Analytic; Probability
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 4: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 170. Like that of the Student t distribution, the shape of the chisquared distribution depends on its number of degrees of freedom. ANS: T PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 4 SECTION 1: NUMERICAL DESCRIPTIVE TECHNIQUES TRUE/FALSE 1. The mean is affected by extreme values but the median is not. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 4.1 2. The mean is a measure of variability. ANS: F PTS: 1 N
School: SanfordBrown Institute
Course: Statistics
CHAPTER 14 SECTION 1: ANALYSIS OF VARIANCE TRUE/FALSE 1. The Ftest used in oneway ANOVA is an extension of the ttest of 1 2. ANS: T PTS: 1 REF: SECTION 14.1 NAT: Analytic; Variation and Uncertainty 2. We use the analysis of variance (ANOVA) technique t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 2: SAMPLING DISTRIBUTIONS TRUE/FALSE 90. The mean of the sampling distribution of the sample proportion , when the sample size n = 100 and the population proportion p = 0.92, is 92.0. ANS: F PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 7 SECTION 1: RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. The time required to drive from New York to New Mexico is a discrete random variable. ANS: F PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 7.1 2. A r
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 3: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 57. A calculus professor wanted to test whether the grades on calculus test were the same for upper and lower classmen. The professor took a random sample of size 12 from each grou
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 4: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 87. When comparing two population variances, we use the ratio ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing rather than the difference REF: SECTION 13.4 88. We use a ttest to de
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 12: MULTIPLE REGRESSION TRUE/FALSE 1. In multiple regression analysis, the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size. ANS: T PTS: 1 NAT: Analytic; Regression Analysis
School: SanfordBrown Institute
Course: Statistics
CHAPTER 2 SECTION 3: GRAPHICAL DESCRIPTIVE TECHNIQUES I TRUE/FALSE 65. A crossclassification table summarizes data from two nominal variables. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 2.3 66. To describe the relationship between t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 6 SECTION 45: PROBABILITY TRUE/FALSE 188. Bayes' Law is a formula for revising an initial subjective (prior ) probability value on the basis of new results, thus obtaining a new (posterior ) probability value. ANS: T PTS: 1 NAT: Analytic; Probabi
School: SanfordBrown Institute
Course: Statistics
CHAPTER 2 SECTION 2: GRAPHICAL DESCRIPTIVE TECHNIQUES I TRUE/FALSE 35. A bar chart is used to represent interval data. ANS: F PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 2.2 36. One of the advantages of a pie chart is that it clearly shows t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 2: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 55. A national standardized testing company can tell you your relative standing on an exam without divul ging the mean or the standard deviation of the exam scores. ANS: T PTS: 1 NAT: An
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 1: SAMPLING DISTRIBUTIONS TRUE/FALSE 1. The Central Limit Theorem permits us to draw conclusions about a population based on a sample alone, without having any knowledge about the distribution of that population. And this works no mat te
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 12: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 1. Independent samples are those for which the selection process for one is not related to the selection process for the other. ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing RE
School: SanfordBrown Institute
Midterm I CEE 220 APRIL 29, 2008 Name: Closed Book; 1 page of notes. Part I: Short Answer (3 points each) 1. What is wrong with the picture below? y 30 MPa 15 MPa 10 MPa 20 MPa x 40 MPa z The shear stresses xz and zx are inconsistent in sign. 2. A rod is
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 45: MODEL BUILDING TRUE/FALSE 123. Stepwise regression is an iterative procedure that adds or deletes one independent variable at a time. ANS: T PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 18.418.5 124. The stepwise regress
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 23: MODEL BUILDING TRUE/FALSE 76. In explaining the amount of money spent on gifts for a child's birthday each year, the independent variable, age of child, is best represented by a dummy variable. ANS: F PTS: 1 NAT: Analytic; Regressi
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 1: MODEL BUILDING TRUE/FALSE 1. Regression analysis allows the statistics practitioner to use mathematical models to realistically de scribe relationships between the dependent variable and independent variables. ANS: T PTS: 1 NAT: Anal
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 4: MULTIPLE REGRESSION TRUE/FALSE 136. The DurbinWatson d statistic is used to check the assumption of normality. ANS: F PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 17.4 137. The DurbinWatson test allows the statistics prac
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 3: MULTIPLE REGRESSION TRUE/FALSE 111. Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables. ANS: F PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 17.3 112. Multicollinea
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 6: SIMPLE LINEAR REGRESSION AND CORREL ATION TRUE/FALSE 251. Data that exhibit an autocorrelation effect violate the regression assumption of independence. ANS: T PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 16.6 252. We stand
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 34: SIMPLE LINEAR REGRESSION AND CORRELATION TRUE/FALSE 88. When the actual values y of a dependent variable and the corresponding predicted values same, the standard error of the estimate will be 1.0. ANS: F PTS: 1 NAT: Analytic; Regr
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 12: SIMPLE LINEAR REGRESSION AND CORRELATION TRUE/FALSE 1. An inverse relationship between an independent variable x and a dependent variably y means that as x increases, y decreases, and vice versa. ANS: T PTS: 1 NAT: Analytic; Regres
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 4: CHISQUARED TESTS (OPTIONAL) TRUE/FALSE 163. The null hypothesis states that the sample data came from a normally distributed population. The researcher calculates the sample mean and the sample standard deviation from the data. The
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 3: CHISQUARED TESTS TRUE/FALSE 119. If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the ztest of p1 p2, or the chisquared test of a contingency table. ANS:
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 2: CHISQUARED TESTS TRUE/FALSE 67. In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independ ent. ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing REF: SECTION 15.2 68. To produce expected
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 1: CHISQUARED TESTS TRUE/FALSE 1. A chisquared distribution is symmetric. ANS: F PTS: 1 NAT: Analytic; Hypothesis Testing REF: SECTION 15.1 2. A chisquared test is used to describe a population of nominal data. ANS: T PTS: 1 NAT: Ana
School: SanfordBrown Institute
EN 175 Advanced Mechanics of Solids Homework 1 Due on: Sep 20, 2012 Thursday (In class). 1) By carrying out the details of the summation, find a simplified form of the expressions shown below. iij ij (ii) ij jk , (iii) ij jk ki, (iv) ij Bik (v) 3jk aj ak
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 3: SAMPLING DISTRIBUTIONS TRUE/FALSE 136. The expected value of the sampling distribution of population i (i = 1, 2). ANS: T PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 9.3 137. The standard error of the difference betwe
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 1: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS: T PTS: 1 NAT: Analytic; Probability
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 4: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 170. Like that of the Student t distribution, the shape of the chisquared distribution depends on its number of degrees of freedom. ANS: T PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 4 SECTION 1: NUMERICAL DESCRIPTIVE TECHNIQUES TRUE/FALSE 1. The mean is affected by extreme values but the median is not. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 4.1 2. The mean is a measure of variability. ANS: F PTS: 1 N
School: SanfordBrown Institute
Course: Statistics
CHAPTER 14 SECTION 1: ANALYSIS OF VARIANCE TRUE/FALSE 1. The Ftest used in oneway ANOVA is an extension of the ttest of 1 2. ANS: T PTS: 1 REF: SECTION 14.1 NAT: Analytic; Variation and Uncertainty 2. We use the analysis of variance (ANOVA) technique t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 2: SAMPLING DISTRIBUTIONS TRUE/FALSE 90. The mean of the sampling distribution of the sample proportion , when the sample size n = 100 and the population proportion p = 0.92, is 92.0. ANS: F PTS: 1 NAT: Analytic; Probability Distribution
School: SanfordBrown Institute
Course: Statistics
CHAPTER 7 SECTION 1: RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS TRUE/FALSE 1. The time required to drive from New York to New Mexico is a discrete random variable. ANS: F PTS: 1 NAT: Analytic; Probability Distributions REF: SECTION 7.1 2. A r
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 3: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 57. A calculus professor wanted to test whether the grades on calculus test were the same for upper and lower classmen. The professor took a random sample of size 12 from each grou
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 4: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 87. When comparing two population variances, we use the ratio ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing rather than the difference REF: SECTION 13.4 88. We use a ttest to de
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 12: MULTIPLE REGRESSION TRUE/FALSE 1. In multiple regression analysis, the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size. ANS: T PTS: 1 NAT: Analytic; Regression Analysis
School: SanfordBrown Institute
Course: Statistics
CHAPTER 2 SECTION 3: GRAPHICAL DESCRIPTIVE TECHNIQUES I TRUE/FALSE 65. A crossclassification table summarizes data from two nominal variables. ANS: T PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 2.3 66. To describe the relationship between t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 6 SECTION 45: PROBABILITY TRUE/FALSE 188. Bayes' Law is a formula for revising an initial subjective (prior ) probability value on the basis of new results, thus obtaining a new (posterior ) probability value. ANS: T PTS: 1 NAT: Analytic; Probabi
School: SanfordBrown Institute
Course: Statistics
CHAPTER 2 SECTION 2: GRAPHICAL DESCRIPTIVE TECHNIQUES I TRUE/FALSE 35. A bar chart is used to represent interval data. ANS: F PTS: 1 NAT: Analytic; Descriptive Statistics REF: SECTION 2.2 36. One of the advantages of a pie chart is that it clearly shows t
School: SanfordBrown Institute
Course: Statistics
CHAPTER 8 SECTION 2: CONTINUOUS PROBABILITY DISTRIBUTIONS TRUE/FALSE 55. A national standardized testing company can tell you your relative standing on an exam without divul ging the mean or the standard deviation of the exam scores. ANS: T PTS: 1 NAT: An
School: SanfordBrown Institute
Course: Statistics
CHAPTER 9 SECTION 1: SAMPLING DISTRIBUTIONS TRUE/FALSE 1. The Central Limit Theorem permits us to draw conclusions about a population based on a sample alone, without having any knowledge about the distribution of that population. And this works no mat te
School: SanfordBrown Institute
Course: Statistics
CHAPTER 13 SECTION 12: INFERENCE ABOUT COMPARING TWO POPULATIONS TRUE/FALSE 1. Independent samples are those for which the selection process for one is not related to the selection process for the other. ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing RE
School: SanfordBrown Institute
Midterm I CEE 220 APRIL 29, 2008 Name: Closed Book; 1 page of notes. Part I: Short Answer (3 points each) 1. What is wrong with the picture below? y 30 MPa 15 MPa 10 MPa 20 MPa x 40 MPa z The shear stresses xz and zx are inconsistent in sign. 2. A rod is
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 45: MODEL BUILDING TRUE/FALSE 123. Stepwise regression is an iterative procedure that adds or deletes one independent variable at a time. ANS: T PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 18.418.5 124. The stepwise regress
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 23: MODEL BUILDING TRUE/FALSE 76. In explaining the amount of money spent on gifts for a child's birthday each year, the independent variable, age of child, is best represented by a dummy variable. ANS: F PTS: 1 NAT: Analytic; Regressi
School: SanfordBrown Institute
Course: Statistics
CHAPTER 18 SECTION 1: MODEL BUILDING TRUE/FALSE 1. Regression analysis allows the statistics practitioner to use mathematical models to realistically de scribe relationships between the dependent variable and independent variables. ANS: T PTS: 1 NAT: Anal
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 4: MULTIPLE REGRESSION TRUE/FALSE 136. The DurbinWatson d statistic is used to check the assumption of normality. ANS: F PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 17.4 137. The DurbinWatson test allows the statistics prac
School: SanfordBrown Institute
Course: Statistics
CHAPTER 17 SECTION 3: MULTIPLE REGRESSION TRUE/FALSE 111. Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables. ANS: F PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 17.3 112. Multicollinea
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 6: SIMPLE LINEAR REGRESSION AND CORREL ATION TRUE/FALSE 251. Data that exhibit an autocorrelation effect violate the regression assumption of independence. ANS: T PTS: 1 NAT: Analytic; Regression Analysis REF: SECTION 16.6 252. We stand
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 34: SIMPLE LINEAR REGRESSION AND CORRELATION TRUE/FALSE 88. When the actual values y of a dependent variable and the corresponding predicted values same, the standard error of the estimate will be 1.0. ANS: F PTS: 1 NAT: Analytic; Regr
School: SanfordBrown Institute
Course: Statistics
CHAPTER 16 SECTION 12: SIMPLE LINEAR REGRESSION AND CORRELATION TRUE/FALSE 1. An inverse relationship between an independent variable x and a dependent variably y means that as x increases, y decreases, and vice versa. ANS: T PTS: 1 NAT: Analytic; Regres
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 4: CHISQUARED TESTS (OPTIONAL) TRUE/FALSE 163. The null hypothesis states that the sample data came from a normally distributed population. The researcher calculates the sample mean and the sample standard deviation from the data. The
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 3: CHISQUARED TESTS TRUE/FALSE 119. If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the ztest of p1 p2, or the chisquared test of a contingency table. ANS:
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 2: CHISQUARED TESTS TRUE/FALSE 67. In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independ ent. ANS: T PTS: 1 NAT: Analytic; Hypothesis Testing REF: SECTION 15.2 68. To produce expected
School: SanfordBrown Institute
Course: Statistics
CHAPTER 15 SECTION 1: CHISQUARED TESTS TRUE/FALSE 1. A chisquared distribution is symmetric. ANS: F PTS: 1 NAT: Analytic; Hypothesis Testing REF: SECTION 15.1 2. A chisquared test is used to describe a population of nominal data. ANS: T PTS: 1 NAT: Ana
Secondary School Record  Secondary School GPA  Secondary School Rank  Letters of Recommendation  Admission Test Score  AP Credits 

Not Applicable  Not Applicable  Not Applicable  Not Applicable  Not Applicable  Yes 
The tuition cost for students attending SanfordBrown Institute is $15,873.
Financial aid options are available to students at SanfordBrown Institute. In 2013, 97 percent of firsttime students attending SanfordBrown Institute received some form of financial aid  student loans, grants or scholarships
Type of Aid  No. Receiving Aid  % Receiving Aid  Total Aid Received  Average Aid Received 

Any Student Financial Aid  167  97%     
Grant Aid  154  89%  $812,380  $5,275 
Student Loans  164  95%  $1,416,449  $8,637 
Type of Aid  No. Receiving Aid  % Receiving Aid  Total Aid Received  Average Aid Received 

Grant Aid  667  76%  $3,227,483  $4,839 
Student Loans  779  89%  $3,543,215  $4,548 
Year  Income: < 30K  Income: 30K  48K  Income: 48K  75K  Income: 75K  110K  Income: > 110K 

20112012  $17,462  $18,107  $20,999  $22,997  $0 
20102011  $17,514  $18,982  $21,587  $22,230  $22,230 
20092010  $16,138  $18,319  $0  $21,002  $0 
Highest Degree Offered  Continuing Professional Programs  Academic and Career Counseling Services  Employment Services for Students  Placement Services for Graduates  Study Abroad 

Associate's Degree  NA  Yes  Yes  Yes  No 

: 
0.000 MILLION PER STUDENT 
Source: National Center for Education Statistics (NCES), Institute of Education Sciences, 20122013
Course Hero, Inc. does not independently verify the accuracy of the information presented above.