The Impact of \u3ci\u3eU.S. News & World Report\u3c/i\u3e College Rankings on Admissions Outcomes and Pricing Policies at Selective Private Institutions

Despite the widespread popularity of the U.S. News & World Report College rankings there has been no empirical analysis of the impact of these rankings on applications, admissions, and enrollment decisions, as well as on institutions’ pricing policies. Our analyses indicate that a less favorable rank leads an institution to accept a greater percentage of its applicants, a smaller percentage of its admitted applicants matriculate, and the resulting entering class is of lower quality, as measured by its average SAT scores. While tuition levels are not responsive to less favorable rankings, institutions offer less visible price discounts in the form of slightly lower levels of expected self-help (loans and employment opportunities) and significantly more generous levels of grant aid. These decreases in net tuition are an attempt to attract additional students from their declining applicant pool

The Impact of US News and World Report College Rankings on Admission Outcomes and Pricing Decisions at Selective Private Institutions

Despite the widespread popularity of the U.S. News & World Report College rankings there has been no empirical analysis of the impact of these rankings on applications, admissions, and enrollment decisions, as well as on institutions' pricing policies. Our analyses indicate that a less favorable rank leads an institution to accept a greater percentage of its applicants, a smaller percentage of its admitted applicants matriculate, and the resulting entering class is of lower quality, as measured by its average SAT scores. While tuition levels are not responsive to less favorable rankings, institutions offer less visible price discounts in the form of slightly lower levels of expected self-help (loans and employment opportunities) and significantly more generous levels of grant aid. These decreases in net tuition are an attempt to attract additional students from their declining applicant pool.

A Case of Enlarged Subcutaneous Bursa in Front of the Tubercle of the Tibia

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A Case of Macewen's Operation for the Radical Cure of Inguinal Hernia in a Woman Sixty-Three Years of Age

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The Impact of U.S. News & World Report College Rankings on Admissions Outcomes and Pricing Policies at Selective Private Institutions

Despite the widespread popularity of the U.S. News & World Report College rankings there has been no empirical analysis of the impact of these rankings on applications, admissions, and enrollment decisions, as well as on institutions\u27 pricing policies. Our analyses indicate that a less favorable rank leads an institution to accept a greater percentage of its applicants, a smaller percentage of its admitted applicants matriculate, and the resulting entering class is of lower quality, as measured by its average SAT scores. While tuition levels are not responsive to less favorable rankings, institutions offer less visible price discounts in the form of slightly lower levels of expected self-help (loans and employment opportunities) and significantly more generous levels of grant aid. These decreases in net tuition are an attempt to attract additional students from their declining applicant pool

3x+1 Minus the +

We use Conway's \emphFractran language to derive a function R:\textbfZ^+ → \textbfZ^+ of the form R(n) = r_in if n ≡ i \bmod d where d is a positive integer, 0 ≤ i < d and r_0,r_1, ... r_d-1 are rational numbers, such that the famous 3x+1 conjecture holds if and only if the R-orbit of 2^n contains 2 for all positive integers n. We then show that the R-orbit of an arbitrary positive integer is a constant multiple of an orbit that contains a power of 2. Finally we apply our main result to show that any cycle \ x_0, ... ,x_m-1 \ of positive integers for the 3x+1 function must satisfy \par ∑ _i∈ \textbfE \lfloor x_i/2 \rfloor = ∑ _i∈ \textbfO \lfloor x_i/2 \rfloor +k. \par where \textbfO=\ i : x_i is odd \ , \textbfE=\ i : x_i is even \ , and k=|\textbfO|. \par The method used illustrates a general mechanism for deriving mathematical results about the iterative dynamics of arbitrary integer functions from \emphFractran algorithms

A Method for Evaluating Storm-Damaged Cotton for Extension County Agents and Specialists

Extension county agents and specialists are often asked to provide unbiased crop damage assessments when storms occur. There is generally no published methodology on which to base damage assessments. The objectives of the project described here were to (a) provide an unbiased database to producers and crop insurance representatives and (b) develop an unbiased, in-field method for damage evaluations for cotton. This method proved to be effective in allowing Extension personnel to monitor crop damage over time as a result of the storm. It provided an unbiased database for use by Extension and USDA workers, producers, and crop insurance personnel