University of Arizona Acceptance Rate, SAT/ACT Scores, GPA

The University of Arizona is a public research university with an acceptance rate of 84%. Located in Tucson, University of Arizona has well-respected programs ranging from engineering to photography. The university is a member of the Association of American Universities because of its strengths in research and education. In athletics, the Arizona Wildcats compete in the NCAA Division I ​Pac 12 Conference. Considering applying to University of Arizona? Here are the admissions statistics you should know, including average SAT/ACT scores and GPAs of admitted students. Acceptance Rate During the 2017-18 admissions cycle, University of Arizona had an acceptance rate of 84%. This means that for every 100 students who applied, 84 students were admitted, making UAs admissions process somewhat competitive. Admissions Statistics (2017-18) Number of Applicants 39,941 Percent Admitted 84% Percent Admitted Who Enrolled (Yield) 23% SAT Scores and Requirements University of Arizona has a test-optional standardized testing policy. Applicants to UA may submit SAT or ACT scores to the school, but they are not required for admission to most programs. Note that applicants to the Honors College and the colleges of Engineering, Fine Arts, Nursing, Architecture, Planning and Landscape Architecture are required to submit SAT or ACT scores. In addition, those applicants who want to be considered for merit scholarships must submit SAT or ACT scores. During the 2017-18 admissions cycle, 53% of admitted students submitted SAT scores. SAT Range (Admitted Students) Section 25th Percentile 75th Percentile ERW 540 650 Math 530 660 ERW=Evidence-Based Reading and Writing This admissions data tells us that of those students who submitted scores during the 2017-18 admissions cycle, most of University of Arizonas admitted students fall within the top 35% nationally on the SAT. For the evidence-based reading and writing section, 50% of students admitted to University of Arizona scored between 540 and 650, while 25% scored below 540 and 25% scored above 650. On the math section, 50% of admitted students scored between 530 and 660, while 25% scored below 530 and 25% scored above 660. While the SAT is not required, this data tells us that a composite SAT score of 1310 or higher is competitive for University of Arizona. Requirements Note that for most applicants, University of Arizona does not require SAT scores for admission. For students who choose to submit scores, note that UA does not superscore SAT results; your highest composite SAT score from a single test date will be considered. University of Arizona does not require the essay portion of the SAT. ACT Scores and Requirements University of Arizona has a test-optional standardized testing policy. Applicants to UA may submit SAT or ACT scores to the school, but they are not required for admission to most programs. Note that applicants to the Honors College and the colleges of Engineering, Fine Arts, Nursing, Architecture, Planning and Landscape Architecture are required to submit SAT or ACT scores. In addition, those applicants who want to be considered for merit scholarships must submit SAT or ACT scores. During the 2017-18 admissions cycle, 54% of admitted students submitted ACT scores. ACT Range (Admitted Students) Section 25th Percentile 75th Percentile English 20 27 Math 20 27 Composite 21 28 This admissions data tells us that of those who submitted scores during the 2017-18 admissions cycle, most of University of Arizonas admitted students fall within the top 42% nationally on the ACT. The middle 50% of students admitted to UA received a composite ACT score between 21 and 28, while 25% scored above 28 and 25% scored below 21. Requirements Note that University of Arizona does not require ACT scores for admission for most applicants. For students who choose to submit scores, note that UA does not superscore ACT results; your highest composite ACT score will be considered. University of Arizona recommends, but does not require, the ACT writing section. GPA In 2018, the middle 50% of University of Arizonas incoming class had high school GPAs between 3.75 and 3.99. 25% had a GPA above 3.99, and 25% had a GPA below 3.75. These results suggest that most successful applicants to University of Arizona have primarily A grades. Self-Reported GPA/SAT/ACT Graph University of Arizona Applicants Self-Reported GPA/SAT/ACT Graph. Data courtesy of Cappex. The admissions data in the graph is self-reported by applicants to the University of Arizona. GPAs are unweighted. Find out how you compare to accepted students, see the real-time graph, and calculate your chances of getting in  with a free Cappex account. Admissions Chances The University of Arizona, which accepts over three-quarters of applicants, has a somewhat selective admissions process. If your class rank and GPA fall within the schools average ranges, you have a strong chance of being accepted. UA also considers the rigor of your high school courses and your level of commitment to extracurricular activities and work experience. While UA does not require a  personal statement, applicants may choose to submit one if they believe it will add to their application. Note that some programs at University of Arizona are more selective than others, and standardized testing requirements vary depending on intended program of study. University of Arizona offers Assured Admission for residents of Arizona. Eligible applicants must attend an accredited high school, rank in the top 25% of their class, and have no deficiencies in required coursework or have an unweighted GPA of 3.0 or higher in core requirements. In the graph above, the blue and green dots represent accepted students. You can see that the majority of successful applicants had A or B averages in high school, and they had combined SAT scores of about 950 or higher and ACT composite scores of 18 or higher. Having scores and grades above that lower range clearly increases your chance of acceptance. Since UA is test-optional for most applicants, grades are more important than standardized test scores for admission. If You Like the University of Arizona, You May Also Like These Schools University of Texas - AustinUniversity of KansasTexas State UniversityUniversity of IowaArizona State University All admissions data has been sourced from the National Center for Education Statistics and University of Arizona Undergraduate Admissions Office.

Understanding the Background of Meeting at an Airport by...

It is possible to understand certain pieces of literature outside its historical context; however, it is more beneficial if the reader has background knowledge. Taha Muhammad Ali was a Palestinian poet that was born in 1931. He grew up in Saffuriya, Galilee which is located in the Middle East. Ali was self-taught through his readings of classical Arabic literature, American fiction, and English poetry. Ali then began to write poems in the 1970s. He wrote a poem entitled â€Å"Meeting at an Airport† which is based on his personal experiences. Without knowing his background information and history, it is unclear about what exactly is meant by this poem. This piece of literature elicits the sense of reconnection and the exact same feelings for each other just like the first time they met. In the poem, â€Å"Meeting at an Airport† written by Taha Muhammad Ali, historical context is needed to understand this piece because it emphasizes the theme, the purpose of the poem, an d establishes credibility (â€Å"Poetry Foundation†). When a reader grasps a theme throughout any piece of literature, he or she never clearly understands the intent without knowing where the theme came from. The theme that is portrayed in the poem is, often times reconnecting with a loved one cannot only bring happiness, but it can also bring sorrow. This theme was emphasized throughout the poem and without knowing the historical context of the poem, one could not necessarily understand where it came from. In the text it

Sqc †Statistical Quality Control Free Essays

Statistical quality control (SQC) The application of statistical techniques to measure and evaluate the quality of a product, service, or process. Two basic categories: I. Statistical process control (SPC): – the application of statistical techniques to determine whether a process is functioning as desired II. We will write a custom essay sample on Sqc – Statistical Quality Control or any similar topic only for you Order Now Acceptance Sampling: – the application of statistical techniques to determine whether a population of items should be accepted or rejected based on inspection of a sample of those items. Quality Measurement: Attributes vs Variables Attributes: Characteristics that are measured as either â€Å"acceptable† or â€Å"not acceptable†, thus have only discrete, binary, or integer values. Variables: Characteristics that are measured on a continuous scale. Statistical Process Control (SPC) Methods Statistical process control (SPC) monitors specified quality characteristics of a product or service so as: To detect whether the process has changed in a way that will affect product quality and To measure the current quality of products or services. Control is maintained through the use of control charts. The charts have upper and lower ontrol limits and the process is in control if sample measurements are between the limits. Control Charts for Attributes P Charts – measures proportion defective. C Charts – measures the number of defects/unit. Control Charts for Variables X bar and R charts are used together – control a process by ensuring that the sample average and range remain within limits for both . Basic Procedure 1. An upper control limit (UCL) and a lower control limit (LCL) are set for the process. 2. A random sample of the product or service is taken, and the specified quality characteristic is measured. . If the average of the sample of the quality characteristic is higher than the upper control limit or lower than the lower control limit, the process is considered to be â€Å"out of control†. CONTROL CHARTS FOR ATTRIBUTES p-Charts for Proportion Defective p-chart: a statistical control chart that plots movement in the sample proportion defective (p) over time Procedure: 1. take a random sample and inspect each item 2. determine the sample proportion defective by dividing the number of defective items by the sample size 3. lot the sample proportion defective on the control chart and compare with UCL and LCL to determine if process is out of control The underlying statistical sampling distribution is the binomial distribution, but can be approximated by the normal distribution with: mean = u = np (Note – add the bars above the means used in all the equations in this section) standard deviation of p: sigmap = square root of (p(1 -p ) / n) where p = historical population proportion defective and n = sample size Control Limits: UCL = u + z sigmap LCL = u – z sigma p is the number of standard deviations from the mean. It is set based how certain you wish to be that when a limit is exceeded it is due to a change in the process proportion defective rather than due to sample variability. For example: If z = 1 if p has not changed you will still exceed the limits in 32% of the samples (68% confident that mean has changed if the limits are exceeded. z = 2 – limits will be exceeded in 4. 5 (95. 5 % confidence that mean has changed) z = 3 – limits will be exceeded in . 03 (99. % confidence) c-Charts for Number of Defects Per Unit c-chart: a statistical control chart that plots movement in the number of defects per unit. Proc edure: 1. randomly select one item and count the number of defects in that item 2. plot the number of defects on a control chart 3. compare with UCL and LCL to determine if process is out of control The underlying sampling distribution is the Poisson distribution, but can be approximated by the normal distribution with: mean = c standard deviation = square root of c here c is the historical average number of defects/unit Control Limits: UCL = c + z c LCL = c – z c Control Charts for Variables Two charts are used together: R-chart (â€Å"range chart†) and X barchart (â€Å"average chart†) Both the process variability (measured by the R-chart) and the process average (measured by the X bar chart) must be in control before the process can be said to be in control. Process variability must be in control before the X bar chart can be developed because a measure of process variability is required to determine the -chart control limits. R-Chart for Process Variability: UCLR = D4(R) LCLR = D3(R) where is the average of past R values, and D3 and D4 are constants based on the sample size -Chart for Process Average: UCLR = X bar + A2(R) LCL = X bar – A2(R) where X bar is the average of several past values, and A2 is a constant based on the sample size Other Types of Attribute-Sampling Plans Double-Sampling Plan: Specifies two sample sizes (n1 and n2) and two acceptance levels (c1 and c2) 1. f the first sample passes (actual defects c1), the lot is accepted 2. if the first sample fails and actual defects c2, the lot is rejected 3. if first sample fails but c1 actual defects c2, the second sample is taken and judged on the combined number of defectives found. Sequential-Sampling Plan: Each time an item is inspected, a decision is made whether to accept the lot, reject it, or continue sampling. Acceptance Sampling Goal: To accept or reject a batch of items. Frequently used to test incoming materials from suppliers or other parts of the organization prior to entry into the production process. Used to determine whether to accept or reject a batch of products. Measures number of defects in a sample. Based on the number of defects in the sample the batch is either accepted or rejected. An acceptance level c is specified. If the number of defects in the sample is c the atch is accepted, otherwise it is rejected and subjected to 100% inspection. How to cite Sqc – Statistical Quality Control, Essay examples