Being the new kid on the block wasn't enough for the United States. And probably badder. They succeeded--but at a cost. In this unit, students learn how the United States began to grow as soon as it became a nation, and they examine the effect of this growth on societies already established in North America.
You can still find those lessons in their original locations. In this map-based lesson, students learn the historic importance of the Mississippi River and why the U. They find out how the United States acquired the land that made up the Louisiana Purchase—and just how little anyone knew about that land before handing over the purchase price!
In this lesson, students get an introduction to the concept of Manifest Destiny. Students learn what this philosophy looked and sounded like in the 19th century and preview United States expansion.
This lesson is intended to serve as an introduction to further study of American expansion. In this mini-lesson, students learn how it happened, what tensions were involved, and how Native Americans were affected. The United States annexed Texas after years of debate. This lesson also includes the Gadsen Purchase of President Jefferson usually gets the credit for the Louisiana Purchase inwhich doubled the size of the young nation.
But this ignores one important actor, the U. Nearly every step of the process involved the approval of, and funding from, the Legislative Branch.
This DBQuest will walk you through primary sources that show the give and take between the two branches. Skip to main content. Middle School High School. Lesson Plan.Speak now. The story of the United States of America may be in its infancy, but it's had a profound impact on the world around it. When the founding fathers clambered ashore, could they have guessed that the nation that resulted would go on to be the most powerful and influential country the world's ever known?
Some people, especially in the nineteenth century, believed that this was bound to happen, that it had been pre-ordained, and this belief is known as manifest destiny.
Do you subscribe to the theory that the USA was always destined to refresh and renew the West? Are you an expert on American history? If so, you'll love pitting your wits against our manifest destiny quizzes.
Which newspaper editor invented the term? Did Abraham Lincoln support or oppose the concept? If you know these, and many more, it'll be your destiny to be a quiz champion. Manifest Destiny Quiz. Many Democrats proposed their view but some renowned Americans such Sample Question.
Million for Louisiana. Chaptermanifest Destiny. Manifest destiny held that the United States was destined to expand their dominion and spread capitalism, which is a socio-economic system, based on private property rights and ownership of resources as well as democracy Opposed a protective tariff, a national bank, and internal improvements. Advocated Henry Clay's American system program.
Supported nationalism and objected to states' rights. Pushed for the abolition of slavery. Jim Beckwourth. Brigham Young. Jebidiah Smith. James Polk. Manifest destiny. Monroe Doctrine. Great Awakening. Louisiana Purchase.
Fear of foreign powers invading. The lucrative west coast fisherman's market. The gold rush. United States Constitution Quizzes. US Citizenship Quizzes. White House Quizzes.Children cannot reseal juice boxes, cans, or pouches. Often they drink half (or less) and throw the rest away. To get the most out of your money, buy drinks in larger containers. Send a small amount to school in a reusable container. Before offering your children an afterschool snack, request that they finished their lunch.
How many times have you given them a snack and then dumped the contents of their lunch box into the trash.
Ask your child to bring home lunch leftovers. Looking at leftover lunches is a great way to get information about your children's lunch preferences. Find out why certain foods have come back uneaten.
Did your child not like it. Was she not hungry enough to eat everything in the lunchbox. Was there a birthday celebration at school that day. Did she share someone else's lunch instead. Maintain a dialogue without criticizing. Consider making a list of foods that your child likes to eat for lunch and update it regularly with input from your child. You may find that she prefers romaine lettuce to red leaf lettuce. By making this simple change, she might start eating salads more regularly.
Providing a dip for carrot and celery sticks might make eating them more fun. Encourage your children to help plan, prepare and pack their own lunches. They're more likely to eat a meal that they've helped prepare. Involvement in meal preparation also teaches them where their food comes from, and it provides them with the confidence and skills they will need to prepare food for themselves later in life.
Younger children can cut fruit or make their own trail mix from a selection of healthy items such as raisins, dried apricots, sunflower seeds, whole-grain cereals, and pumpkin seeds.TN Tech (Total)San Diego St vs. California (Total)Ohio State vs. Samford (Spread)North Dakota vs. N Dakota St (Spread)Michigan St vs. S Utah (Total)Creighton vs. App State (Total)Rider vs.
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Marshall (Total)Michigan St vs. Youngs StOregon St vs. Ark Pine BlMissouri vs. Lg Beach StMontana St vs. N Dakota StWash State at TX El PasoCincinnati vs. MarshallW Michigan at DetroitArkansas vs. IllinoisWI-Milwkee at W IllinoisEvansville vs. Coppin StateGeorgia St vs. MontanaHouston at Saint Louis. Sportsbook Opening line 5Dimes Westgate Wynn Boyd Covers. GiantsMatchup 6 -110 3. Jets at DenverMatchup -1 -110 1. ChargersMatchup -6 -110 -6 -101 -6 -110 -6 -110 -6 -110 -6 -101 Sunday, Dec, 10 111112Seattle at JacksonvilleMatchup -3.
RamsMatchup -1 -110 1 -107 -1 -110 -1 -110 -1 -110 -1. And this is a different kind of luck - it lasts a LIFETIME.An important aspect of the "description" of a variable is the shape of its distribution, which tells you the frequency of values from different ranges of the variable.
Typically, a researcher is interested in how well the distribution can be approximated by the normal distribution (see the animation below for an example of this distribution) (see also Elementary Concepts). Simple descriptive statistics can provide some information relevant to this issue. For example, if the skewness (which measures the deviation of the distribution from symmetry) is clearly different from 0, then that distribution is asymmetrical, while normal distributions are perfectly symmetrical.
More precise information can be obtained by performing one of the tests of normality to determine the probability that the sample came from a normally distributed population of observations (e. However, none of these tests can entirely substitute for a visual examination of the data using a histogram (i. The graph allows you to evaluate the normality of the empirical distribution because it also shows the normal curve superimposed over the histogram.
It also allows you to examine various aspects of the distribution qualitatively. For example, the distribution could be bimodal (have 2 peaks). This might suggest that the sample is not homogeneous but possibly its elements came from two different populations, each more or less normally distributed.
In such cases, in order to understand the nature of the variable in question, you should look for a way to quantitatively identify the two sub-samples.
To index Purpose (What is Correlation. The measurement scales used should be at least interval scales, but other correlation coefficients are available to handle other types of data. Correlation coefficients can range from -1. The value of -1. A value of 0. The most widely-used type of correlation coefficient is Pearson r, also called linear or product- moment correlation.
Simple Linear Correlation (Pearson r). Pearson correlation (hereafter called correlation), assumes that the two variables are measured on at least interval scales (see Elementary Concepts), and it determines the extent to which values of the two variables are "proportional" to each other. The value of correlation (i. This line is called the regression line or least squares line, because it is determined such that the sum of the squared distances of all the data points from the line is the lowest possible.
How to Interpret the Values of Correlations. As mentioned before, the correlation coefficient (r) represents the linear relationship between two variables. If the correlation coefficient is squared, then the resulting value (r2, the coefficient of determination) will represent the proportion of common variation in the two variables (i. In order to evaluate the correlation between variables, it is important to know this "magnitude" or "strength" as well as the significance of the correlation.
The significance level calculated for each correlation is a primary source of information about the reliability of the correlation. As explained before (see Elementary Concepts), the significance of a correlation coefficient of a particular magnitude will change depending on the size of the sample from which it was computed.
The test of significance is based on the assumption that the distribution of the residual values (i. However, Monte Carlo studies suggest that meeting those assumptions closely is not absolutely crucial if your sample size is not very small and when the departure from normality is not very large.
It is impossible to formulate precise recommendations based on those Monte- Carlo results, but many researchers follow a rule of thumb that if your sample size is 50 or more then serious biases are unlikely, and if your sample size is over 100 then you should not be concerned at all with the normality assumptions. Outliers are atypical (by definition), infrequent observations.
Because of the way in which the regression line is determined (especially the fact that it is based on minimizing not the sum of simple distances but the sum of squares of distances of data points from the line), outliers have a profound influence on the slope of the regression line and consequently on the value of the correlation coefficient.
A single outlier is capable of considerably changing the slope of the regression line and, consequently, the value of the correlation, as demonstrated in the following example. Note, that as shown on that illustration, just one outlier can be entirely responsible for a high value of the correlation that otherwise (without the outlier) would be close to zero.
Icivics Manifest Destiny
Needless to say, one should never base important conclusions on the value of the correlation coefficient alone (i. Note that if the sample size is relatively small, then including or excluding specific data points that are not as clearly "outliers" as the one shown in the previous example may have a profound influence on the regression line (and the correlation coefficient).
Typically, we believe that outliers represent a random error that we would like to be able to control. Unfortunately, there is no widely accepted method to remove outliers automatically (however, see the next paragraph), thus what we are left with is to identify any outliers by examining a scatterplot of each important correlation.With Visual Studio 2017 version 15.
In addition, the ImageWatch extension has been updated to work with Visual Studio 2017IntelliSense for Python code now no longer requires a completion database. Instead of waiting up to four hours after installing a new package, you can start using it immediately.
We have also added experimental support for managing Anaconda packages, new code snippets, and more customizable syntax highlighting.
Read our blog post for full details on these improvements and how to enable our experimental features. Real time test discovery is a new Visual Studio feature for managed projects that uses the Roslyn compiler to discover tests and populate the Test Explorer in real-time without requiring you to build your project. This feature was introduced behind a feature flag in version 15. This feature not only makes test discovery significantly faster, but it also keeps the Test Explorer in sync with code changes such as adding or removing tests.
To learn more, check out the Real Time Test Discovery blog post and Channel9 video. With this Preview, Visual Studio now supports configuring continuous delivery to Azure for Team Foundation Version Control (TFVC), Git SSH remotes, and Web Apps for containers. Read more about these features on this post about Continuous Delivery Tools for Visual Studio. The WCF Web Service Reference connected service provider now supports updating an existing service reference.
This simplifies the process for regenerating the WCF client proxy code for an updated web service. This will regenerate the Reference. Please note, this feature is not supported for service references added to the project using a previous version of Visual Studio 2017. Remember that Visual Studio 2017 Previews can be installed with other versions of Visual Studio and other installs of Visual Studio 2017 without adversely affecting either your machine or your productivity.
Similarly, the Previews enable the Visual Studio Engineering team to validate usage, incorporate suggestions, and detect flaws earlier in the development process. We are highly responsive to feedback coming in through the Previews and look forward to hearing from you. Please Install the Visual Studio 2017 Preview today, exercise your favorite workloads, and tell us what you think. You can report issues to us via the Report a Problem tool in Visual Studio or you can share a suggestion on UserVoice.
You can also engage with us and other Visual Studio developers through our Visual Studio conversation in the Gitter community (requires GitHub account). Christine is on the Visual Studio release engineering team and is responsible for making Visual Studio releases available to our customers around the world.
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Rothenberg is the author of Where the Suckers Moon: An Advertising Story (Alfred A. Knopf, 1994), a critically-acclaimed chronicle of the birth, evolution, and death of a single advertising campaign.
Rothenberg received an undergraduate degree in Classics from Princeton University and currently lives in New York City. In 2015, Ruhle produced and hosted the documentary Haiti: Open For Business. Ruhle is a member of the board of trustees for Girls Inc. Prior to Bloomberg, Ruhle worked at Deutsche Bank, serving as a Managing Director in Global Markets Senior Relationship Management. Ruhle began her career at Credit Suisse, where she was the highest-producing credit derivatives salesperson in the US.
Dan Salmon is a Managing Director with BMO Capital Markets covering the Media and Internet sectors.
Dan is a volunteer and former Board Member for Giving Opportunities to Others, a charity he helped establish in 2001 that sends underprivileged children to arts and music camp each summer. He has lived in New York City since then. Mike Shields is the Advertising Editor at Business Insider. At MediaLink, Spiegel applies his expertise by helping enterprise marketers and media companies assess, plan for, and implement solutions needed to succeed with programmatic technologies and addressable marketing.
Spiegel comes to MediaLink with a background of executive leadership roles within digital marketing and technology organizations. Most recently Spiegel ran the enterprise sales and solutions business for MediaMath across North and Latin America. Jon Suarez-Davis is the Chief Strategy Officer of the Marketing Cloud at Salesforce, where he is responsible for developing technology solutions that empower marketers to deliver connected, personalized, and real-time brand experiences across channels and throughout the consumer journey at scale.
The category-leading data management platform (DMP) Krux was acquired by Salesforce in October 2016. In addition, Jon led the North America media strategy and social media management teams.
Before founding Tru Optik, Andre served as a Vice President of Investments at JP Morgan Chase and also led the Media and Entertainment division at a boutique investment bank in New York City. Brian Wieser is senior analyst at Pivotal Research, where he covers advertising-related securities including media owners, agencies, data and marketing technology companies.
As an analyst, he has received awards from Institutional Investor and Reuters. Brian is also a CFA charterholder.
Brett Wilson is VP, Adobe Advertising Cloud. Brett began his career at Accenture, where he led system implementations for Fortune 100 clients. He secured his MBA at the UC Berkeley Haas School of Business, where he and co-founder John Hughes won the UC Berkeley Business Plan Competition in 2007. A frequent speaker at industry conferences, Brett has been featured in Advertising Age, The Wall Street Journal and The New York Times. Linda Yaccarino is Chairman, Advertising Sales and Client Partnerships, NBCUniversal.
She reports to Steve Burke, Chief Executive Officer, NBCUniversal. Since joining the company in 2011, Yaccarino has transformed NBCUniversal Advertising Sales.
Prior to joining NBCUniversal, Yaccarino served as Executive Vice President and COO of Turner Entertainment Advertising Sales and Marketing and Acquisitions. Yaccarino sits on the boards of ascena retail group, Inc.
Mark brings over 20 years of digital marketing leadership to his role as CEO of Telaria, Inc. In March of 2015, Mark successfully led the sale of eXelate to the Nielsen Company, the global leader in measurement and analytics, where he became an EVP, launching and leading the Nielsen Marketing Cloud. Mark has been at the forefront of digital disruption since 1997 when he joined Modem Media Poppe Tyson, a pioneering digital ad agency and birthplace of the first banner ad.
John Ebbert is publisher of AdExchanger, an online trade publication he began in 2008.