511 oregon

511 W Oregon St
Temple, OK 73568

20.34

Single-Family Home

$695,500

09/23/21

3

5

4,165

22.65

Single-Family Home

$185,000

10/05/21

3

2

2,128

16.50

Single-Family Home

$274

09/28/21

-

-

672

0.40

Single-Family Home

$42,850

07/26/21

-

1

1,690

18.99

Single-Family Home

$38,000

09/28/21

3

1

1,052

22.82

Single-Family Home

$152,000

09/30/21

3

2

2,075

24.37

Single-Family Home

$228,000

09/21/21

3

2

2,040

23.10

Single-Family Home

$87,000

09/30/21

3

2

1,798

23.54

Single-Family Home

$147,000

10/15/21

3

2

1,956

23.85

Single-Family Home

$225,000

10/18/21

4

4

2,544

Sours: https://www.trulia.com/p/ok/temple/511-w-oregon-st-temple-ok-73568--2108506050

Statistics (ST)

ST 199, SPECIAL TOPICS, 3 Credits

This course can only be taken once unless instructor permission is provided.

ST 201, PRINCIPLES OF STATISTICS, 4 Credits

Study design, descriptive statistics, the use of probability in statistical arguments, sampling, hypothesis tests and confidence intervals for means and proportions. Lec/rec.

Available via Ecampus

ST 202, PRINCIPLES OF STATISTICS, 4 Credits

Comparisons of means and proportions between two populations (t-tests, chi-square tests, nonparametric tests), simple linear regression, correlation. Lec/rec.

Available via Ecampus

ST 314, INTRODUCTION TO STATISTICS FOR ENGINEERS, 3 Credits

Probability, common probability distributions, sampling distributions, estimation, hypothesis testing, control charts, regression analysis, experimental design.

Available via Ecampus

ST 351, INTRODUCTION TO STATISTICAL METHODS, 4 Credits

Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab.

Available via Ecampus

ST 351H, INTRODUCTION TO STATISTICAL METHODS, 4 Credits

Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab.

ST 352, INTRODUCTION TO STATISTICAL METHODS, 4 Credits

Randomization tests and other nonparametric tests for one- and two-sample inference, simple and multiple linear regression, correlation, one- and two-way analysis of variance, logistic regression. Lec/lab.

Available via Ecampus

ST 405, READING AND CONFERENCE, 1-16 Credits

ST 406, PROJECTS, 1-16 Credits

Section 1: Projects. Section 2: Teaching Experience. Section 3: Directed Work.

ST 407, SEMINAR, 1 Credit

Attendance at consulting practicum.

ST 410, INTERNSHIP, 1-16 Credits

ST 411, METHODS OF DATA ANALYSIS, 4 Credits

Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression. Lec/lab.

ST 412, METHODS OF DATA ANALYSIS, 4 Credits

Multiple linear regression, including model checking, dummy variables, using regression to fit analysis of variance models, analysis of covariance, variable selection methods. Lec/lab.

ST 413, METHODS OF DATA ANALYSIS, 4 Credits

Principles of experimental design; randomized block and factorial designs; repeated measures; categorical data analysis, including comparison of proportions, tests of homogeneity and independence in cross-classified frequency tables, Mantel-Haenszel test, logistic regression, log-linear regression. Introduction to multivariate statistics. Lec/lab.

ST 415, DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS, 3 Credits

Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components.

ST 421, INTRODUCTION TO MATHEMATICAL STATISTICS, 4 Credits

Probability, random variables, expectation, discrete and continuous distributions, multivariate distributions.

ST 422, INTRODUCTION TO MATHEMATICAL STATISTICS, 4 Credits

Sampling distributions, Central Limit Theorem, estimation, confidence intervals, properties of estimators, and hypothesis testing.

ST 431, SAMPLING METHODS, 3 Credits

Estimation of means, totals and proportions; sampling designs including simple random, stratified, cluster, systematic, multistage and double sampling; ratio and regression estimators; sources of errors in surveys; capture-recapture methods.

ST 435, QUANTITATIVE ECOLOGY, 3 Credits

Overview of statistical methods that are useful for analyzing ecological data, including spatial pattern analysis, multivariate techniques, logistic regression, Bayesian statistics and computer-intensive methods. Consideration of special topics such as population dynamics, food webs and ecological indicators. Not offered every year.

ST 439, SURVEY METHODS, 3 Credits

Survey design, data collection and analysis, general methodology.

Available via Ecampus

ST 441, PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS, 4 Credits

Review of probability, including univariate distributions and limit theorems. Random-number generation and simulation of statistical distributions. Bootstrap estimates of standard error. Variance reduction techniques. Emphasis on the use of computation in statistics using the MATLAB programming language. Lec/lab.

ST 443, APPLIED STOCHASTIC MODELS, 3 Credits

Development of stochastic models commonly arising in statistics and operations research, such as Poisson processes, birth-and-death processes, discrete-time and continuous-time Markov chains, renewal and Markov renewal processes. Analysis of stochastic models by simulation and other computational techniques.

ST 499, SPECIAL TOPICS, 1-4 Credits

May be repeated for credit.

ST 501, RESEARCH, 1-16 Credits

ST 503, THESIS, 1-16 Credits

ST 505, READING AND CONFERENCE, 1-16 Credits

Available via Ecampus

ST 506, PROJECTS, 1-16 Credits

Section 1: Projects. Section 2: Teaching Experience. Section 3: Directed Work.

Available via Ecampus

ST 507, SEMINAR, 1 Credit

Available via Ecampus

ST 509, CONSULTING PRACTICUM, 2 Credits

The student provides statistical advice, under faculty guidance, on university-related research projects.

ST 510, INTERNSHIP, 1-16 Credits

ST 511, METHODS OF DATA ANALYSIS, 4 Credits

Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression. Lec/lab.

ST 512, METHODS OF DATA ANALYSIS, 4 Credits

Multiple linear regression, including model checking, dummy variables, using regression to fit analysis of variance models, analysis of covariance, variable selection methods. Lec/lab.

ST 513, METHODS OF DATA ANALYSIS, 4 Credits

Principles of experimental design; randomized block and factorial designs; repeated measures; categorical data analysis, including comparison of proportions, tests of homogeneity and independence in cross-classified frequency tables, Mantel-Haenszel test, logistic regression, log-linear regression. Introduction to multivariate statistics. Lec/lab.

ST 515, DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS, 3 Credits

Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components.

Available via Ecampus

ST 516, FOUNDATIONS OF DATA ANALYTICS, 4 Credits

Foundations of estimation and hypothesis testing; desirable properties of estimators; maximum likelihood; one- and two-sample problems; theoretical results are explored through simulations and analysis using R. Offered via Ecampus only.

Available via Ecampus

ST 517, DATA ANALYTICS I, 4 Credits

Methods for modeling quantitative data and statistical learning--simple and multiple linear regression; linear mixed effects models; data imputation; prediction and cross-validation; scaling up to large datasets. Simulations and data analysis using R. Offered via Ecampus only.

Available via Ecampus

ST 518, DATA ANALYTICS II, 4 Credits

Statistical methods and data analysis techniques for count data. Topics include tests for tables of counts, logistic regression, log-linear regression, generalized linear mixed models, and issues for large datasets. Data analysis in R.

Available via Ecampus

ST 521, INTRODUCTION TO MATHEMATICAL STATISTICS, 4 Credits

Probability, random variables, expectation, discrete and continuous distributions, multivariate distributions.

ST 522, INTRODUCTION TO MATHEMATICAL STATISTICS, 4 Credits

Sampling distributions, Central Limit Theorem, estimation, confidence intervals, properties of estimators, and hypothesis testing.

ST 525, APPLIED SURVIVAL ANALYSIS, 3 Credits

Statistical methods for analyzing survival data or time-to-event data, which may be censored and/or truncated. Specific topics can vary term to term, and could include Kaplan-Meier estimator; K-sample hypothesis tests for survival data; Accelerated failure time model; Cox proportional hazard regression model.

Available via Ecampus

ST 531, SAMPLING METHODS, 3 Credits

Estimation of means, totals and proportions; sampling designs including simple random, stratified, cluster, systematic, multistage and double sampling; ratio and regression estimators; sources of errors in surveys; capture-recapture methods.

ST 535, QUANTITATIVE ECOLOGY, 3 Credits

Overview of statistical methods that are useful for analyzing ecological data, including spatial pattern analysis, multivariate techniques, logistic regression, Bayesian statistics and computer-intensive methods. Consideration of special topics such as population dynamics, food webs and ecological indicators. Not offered every year.

ST 537, DATA VISUALIZATION, 3 Credits

Perceptual principles for displaying data; critique and improvement of data visualizations; use of color in visualization; principles of tidy data; strategies for data exploration; select special topics.

Available via Ecampus

ST 538, MODERN STATISTICAL METHODS FOR LARGE AND COMPLEX DATA SETS, 3 Credits

Provides students with the tools and experience to analyze big and messy data and work effectively in a data science team. Covers the tools to handle big data and answer statistical questions based on the data. Includes three big data analysis projects that students work on in groups. Focuses on proper use of modern data analysis techniques related to regression, classification and clustering for data coming from a variety of application fields. R will be the lingua franca.

Available via Ecampus

ST 539, SURVEY METHODS, 3 Credits

Survey design, data collection and analysis, general methodology.

Available via Ecampus

ST 541, PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS, 4 Credits

Review of probability, including univariate distributions and limit theorems. Random-number generation and simulation of statistical distributions. Bootstrap estimates of standard error. Variance reduction techniques. Emphasis on the use of computation in statistics using the S-Plus or MATLAB programming language. Lec/lab.

ST 543, APPLIED STOCHASTIC MODELS, 3 Credits

Development of stochastic models commonly arising in statistics and operations research, such as Poisson processes, birth-and-death processes, discrete-time and continuous-time Markov chains, renewal and Markov renewal processes. Analysis of stochastic models by simulation and other computational techniques.

ST 551, STATISTICAL METHODS, 4 Credits

Properties of t, chi-square and F tests; randomized experiments; sampling distributions and standard errors of estimators, delta method, comparison of several groups of measurements; two-way tables of measurements.

ST 552, STATISTICAL METHODS, 4 Credits

Simple and multiple linear regression including polynomial regression, indicator variables, weighted regression, and influence statistics, nonlinear regression and linear models for binary data.

ST 553, STATISTICAL METHODS, 4 Credits

Principles and analysis of designed experiments, including factorial experiments, analysis of covariance, random and mixed effect models. Lec/lab.

ST 555, ADVANCED EXPERIMENTAL DESIGN, 3 Credits

Designs leading to mixed models including split plots, repeated measures, crossovers and incomplete blocks. Introduction to experimental design in industry including confounding, fractional factorials and response surface methodology. Analysis of unbalanced data.

ST 557, APPLIED MULTIVARIATE ANALYSIS, 3 Credits

Multivariate data structures, linear combinations; principal components, factor and latent structure analysis, canonical correlations, discriminant analysis; cluster analysis, multidimensional scaling. Not offered every year.

ST 558, MULTIVARIATE ANALYTICS, 3 Credits

Basics of matrix algebra, principal components analysis, cluster analysis, factor analysis, multidimensional scaling.

Available via Ecampus

ST 559, BAYESIAN STATISTICS, 3 Credits

Bayesian statistics for data analysis. Characterizations of probability; comparative (Bayesian versus frequentist) inference; prior, posterior and predictive distributions; hierarchical modeling. Computational methods include Markov Chain Monte Carlo for posterior simulation.

ST 561, THEORY OF STATISTICS, 4 Credits

Distributions of functions of random variables, joint and conditional distributions, sampling distributions, convergence concepts, order statistics. Lec/rec.

ST 562, THEORY OF STATISTICS, 4 Credits

Sufficiency, exponential families, location and scale families; point estimation: maximum likelihood, Bayes, and unbiased estimators; asymptotic distributions of maximum likelihood estimators; Taylor series approximations.

ST 563, THEORY OF STATISTICS, 4 Credits

Hypothesis testing: likelihood ratio, Bayesian, and uniformly most powerful tests; similar tests in exponential families; asymptotic distributions of likelihood ratio test statistics; confidence intervals.

ST 565, TIME SERIES, 3 Credits

Analysis of serially correlated data in both time and frequency domains. Autocorrelation and partial autocorrelation functions, autoregressive integrated moving average models, model building, forecasting; filtering, smoothing, spectral analysis, frequency response studies, Offered winter term in even years.

ST 566, TIME SERIES ANALYTICS, 3 Credits

Focuses on statistical and analytical tools for analyzing data that are observed sequentially over time. Specific topics can vary term to term, and could include methods for exploratory time series analysis, linear time series models (ARMA, ARIMA), forecasting, spectral analysis and state-space models. The focus will be on applied problems, though some mathematical statistics is necessary for a solid understanding of the statistical issues. This course is designed for students in Data Analytics MS and Certificate programs.

Available via Ecampus

ST 567, SPATIAL STATISTICS, 3 Credits

The analysis of spatial data. Graphical tools for exploring spatial data, geostatistics, variogram estimation, kriging, areal models, hierarchical spatial models, and spatio-temporal modelling. Offered winter term in odd years.

ST 591, INTRODUCTION TO QUANTITATIVE GENOMICS, 3 Credits

Provides an overview of how genomic data is generated and analyzed. It focuses on the underlying biological motivation, theoretical concepts, and analytical challenges associated with genomic research, especially the generation of statistics that summarize genomic data. The class is organized as a combination of lectures and group literature review discussions. Students are expected to actively participate in the class. Students from diverse backgrounds, including quantitative, biological, and computations sciences, are encouraged to enroll.

Available via Ecampus

ST 592, STATISTICAL METHODS FOR GENOMICS RESEARCH, 3 Credits

Lectures include an overview of statistical methods commonly applied in genomics research. Specific methods can vary term to term, and could include cluster analysis, decision trees, dimension reduction tools, regression models, multiple testing adjustment, variable selection methods, etc. Journal clubs include team-based review and presentations of landmark papers in both statistical methodology and genomics research. Research experience includes whole-term collaboration between students from statistics and other disciplines on real projects.

Available via Ecampus

ST 595, CAPSTONE PROJECT, 3 Credits

Integrates and applies the analytics skills learned in the MS in Data Analytics program to solve real-world problems and interpret and communicate results. Engages student teams in the entire process of solving data science projects in realistic settings, from placing the problem into appropriate statistical framework to applying suitable analytic methods to the problem. Emphasizes problem solving, written and oral communication skills.

Available via Ecampus

ST 599, SPECIAL TOPICS, 1-4 Credits

May be repeated for credit when topic varies.

ST 601, RESEARCH, 1-16 Credits

ST 603, THESIS, 1-16 Credits

ST 606, PROJECTS, 1-16 Credits

Section 1: Projects; Section 2: Teaching Experience; Section 3: Directed Work.

ST 623, GENERALIZED REGRESSION MODELS, 3 Credits

Maximum likelihood analysis for frequency data; regression-type models for binomial and Poisson data; iterative weighted least squares and maximum likelihood; analysis of deviance and residuals; over-dispersion and quasilikelihood models; log-linear models for multidimensional contingency tables.

ST 625, SURVIVAL ANALYSIS, 3 Credits

Prepares students to understand and analyze survival data. Concepts to be discussed include: hazard function (failure rate function); nonparametric likelihood; empirical processes; empirical distribution function; censoring (mostly right independent censoring); Kaplan-Meier estimator; Bias of the KM estimator; Cox proportional hazards model; Accelerated Failure Time Model; Partial Likelihood; log-rank test.

ST 651, LINEAR MODEL THEORY, 3 Credits

Least squares estimation, best linear unbiased estimation, parameterizations, multivariate normal distributions, distributions of quadratic forms, testing linear hypotheses, simultaneous confidence intervals. Offered alternate years.

ST 652, LINEAR MODEL THEORY, 3 Credits

Explores advanced topics in linear and generalized linear mixed models: estimation, tests, confidence intervals, prediction, model diagnostics, model selection.

ST 661, ADVANCED THEORY OF STATISTICS, 3 Credits

Exponential families, sufficient statistics; unbiased, equivariant, Bayes, and admissible estimation. Offered alternate years.

ST 662, ADVANCED THEORY OF STATISTICS, 3 Credits

Uniformly most powerful, unbiased, similar, and invariant tests. Offered alternate years.

ST 663, ADVANCED THEORY OF STATISTICS, 3 Credits

First-order and higher-order asymptotics; likelihood ratio, score, and Wald tests; Edgeworth and saddlepoint approximations. Offered alternate years.

Sours: https://catalog.oregonstate.edu/courses/st/
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Nearby homes similar to this home have recently sold between $112K to $275K at an average of $305 per square foot.

1 / 24

SOLD JUL 21, 2021

$250,000 Last Sold Price

256 21st Ave, Longview, WA 98632

Jaeme Moore • Professional Realty Srvc of WA

256 21st Ave, Longview, WA 98632

1 / 11

SOLD JUN 23, 2021

$223,000 Last Sold Price

336 22nd Ave, Longview, WA 98632

Melissa Erickson • Real Living Real Estate Group Sundin Realty, Inc.

336 22nd Ave, Longview, WA 98632

1 / 16

SOLD MAY 27, 2021

$267,500 Last Sold Price

516 18th Ave, Longview, WA 98632

Donna Britten • New Spring Property Management ZNonMember-Office-MLS

516 18th Ave, Longview, WA 98632

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Nearby Properties

Data from public records.

AddressRedfin Estimate

476 15th Avenue, Longview, WA

- Beds | - Baths | - Sq. Ft.

-

540 15th Avenue, Longview, WA

2 Beds | 1 Baths | 806 Sq. Ft.

$187,560

526 15th Avenue, Longview, WA

3 Beds | 1.5 Baths | 1278 Sq. Ft.

$327,822

510 15th Avenue, Longview, WA

2 Beds | 1 Baths | 748 Sq. Ft.

$187,817

503 Oregon Way, Longview, WA

2 Beds | 1 Baths | 834 Sq. Ft.

$265,055

521 Oregon Way, Longview, WA

2 Beds | 1 Baths | 911 Sq. Ft.

$275,488

537 Oregon Way, Longview, WA

3 Beds | 1 Baths | 1322 Sq. Ft.

$302,845
AddressRedfin Estimate

470 15th Avenue, Longview, WA

2 Beds | 1 Baths | 908 Sq. Ft.

$265,754

536 15th Avenue, Longview, WA

3 Beds | 1 Baths | 1258 Sq. Ft.

$311,339

520 15th Avenue, Longview, WA

4 Beds | 1 Baths | 1470 Sq. Ft.

$316,134

506 15th Avenue, Longview, WA

2 Beds | 1 Baths | 954 Sq. Ft.

$267,555

507 Oregon Way, Longview, WA

3 Beds | 1.5 Baths | 960 Sq. Ft.

$314,586

527 Oregon Way, Longview, WA

3 Beds | 1 Baths | 1309 Sq. Ft.

$295,054

541 Oregon Way, Longview, WA

2 Beds | 1 Baths | 882 Sq. Ft.

$267,803
AddressRedfin Estimate

466 15th Avenue, Longview, WA

5 Beds | 1 Baths | 2248 Sq. Ft.

$411,337

530 15th Avenue, Longview, WA

2 Beds | 1 Baths | 900 Sq. Ft.

$284,742

516 15th Avenue, Longview, WA

3 Beds | 1.5 Baths | 955 Sq. Ft.

$288,466

502 15th Avenue, Longview, WA

2 Beds | 1 Baths | 979 Sq. Ft.

$249,424

517 Oregon Way, Longview, WA

3 Beds | 1 Baths | 919 Sq. Ft.

$278,878

531 Oregon Way, Longview, WA

- Beds | - Baths | - Sq. Ft.

-

547 Oregon Way, Longview, WA

2 Beds | 1 Baths | 975 Sq. Ft.

$315,249

Show More

Sours: https://www.redfin.com/WA/Longview/511-Oregon-Way-98632/home/14855307

511 logoTo hear travel information in Washington by phone simply dial 511. If you have trouble accessing 511, you may still access travel conditions using your phone by dialing toll free 800.695.7623 (Road).

Use the phone keypad or the hands-free voice recognition option to receive:

  • Statewide traffic and road incidents, including construction and maintenance activities.
  • I-90 and I-5 express lane status.
  • Mountain pass weather, road conditions and restrictions.
  • Washington State Ferry information, including schedules, fares, wait times and Wave to Go fare pass information.
  • Statewide emergency messages and alerts including AMBER, Silver and Blue Alerts.
  • Access to the 511 systems in Oregon, Idaho and Montana.

Information available only through the voice recognition option:

  • Statewide city-based weather forecast information.
  • Telephone numbers for other transportation options including transit, rail and airlines.

Calling from outside of Washington?
Those calling from outside Washington or having trouble reaching Washington's 511 system can access the information by dialing 1-800-695-7623 (ROAD).

Cell phone users close to the Washington border may have their call routed to other 511 systems. In particular, cell phone users near Vancouver, Washington and Portland (including the Columbia River Gorge) will most likely be routed to the Oregon 511 system. If this happens, try dialing 1-800-695-7623 (ROAD).

Nationwide research has shown that there are many things that can distract a driver, such as food, music, children, passengers, cell phones, etc. So be careful and don’t let yourself get distracted. If possible, have a passenger make the call. If you must call while driving, follow Washington law and use a hands-free device.

Bordering states


Comments or Suggestions?

We know the system isn’t perfect and want to hear from you. Let us know what you think. Email: [email protected]

Sours: https://wsdot.wa.gov/about/news/511/home

Oregon 511

Especially when there is a man in the house. - I have never thought about it before, but here it is true, I thought, After the incident of rape, right at the workplace, by the director's son David. My mother went to work in her underpants for several days.

Let's go to the store then, buy something to eat, drink, huh. - answered Vanya. He glanced at Ksyusha and me, but quickly looked away, as if embarrassed.

Now discussing:

One sheet was more than enough for a clay mug. In addition to hunting, Leah made me not forget about physical and combat training, and we sparred for three to four hours every day. In the evening, of course, bed sparring. And I spent all my free time exploring the mainland. He even used spacesuit jet engines once to fly over to the neighboring mainland.



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