TNReady Integrated Math I

Do the meanings of ASA, SAS, and SSS get you down? How about the difference between mean, median, and mode? Shmoop’s guide to the TNReady Integrated Math I Assessment is a complete crash-course that covers every last Tennessee standard.

Get ready, because you’re in for a ride of cosines, functions, and 360-degree transformations. TNReady might be a new test full of uncharted hot spots and drag and drops, but we have all the blueprints you need to ace the test. We hope you’re ready for a 360-degree transformation of your own.

With Shmoop by your side, you’ll be wondering why you were stressing out about this in the first place.

What’s Inside Shmoop’s Online TNReady Integrated Math I Prep

Shmoop is a labor of love from folks who are really, really into learning. Our test prep resources will help you prepare for exams with comprehensive, engaging, and frankly hilarious materials that bring the test to life. No, not like that. Put down those torches.

Here, you'll find…

• an in-depth review of all covered topics
• a full set of practice problems for every standard
• a diagnostic exam to see where you stand
• a full-length practice assessment
• secret tips and strategies from experts in the field
• chances to earn Shmoints and climb the leaderboard

Sample Content

There's a golden rule when it comes to statistics. Correlation does not equal causation. It's tempting to think that an r-value of 0.999999 means x causes y. A strong correlation, however, doesn't necessarily mean causation.

The best way to show this is to use a real-world example. There's a strong positive correlation between global temperatures and the number of pirates. Consequently, it seems really tempting to say that pirates cause global warming, which is an inconvenient truth for the pirates but good news for the fossil fuel industry.

The only flaw in this argument is that pirates don't cause global warming. They might have contributed to it, like every other human on Earth, but we can't exactly pin the whole thing on those scurvy shipmates.

Mathematically, we generally err on the side of correlation. If watering a plant with fruit juice, for instance, resulted in increased growth, we would say that there's a positive correlation between fruit juice and plant growth. We wouldn't, however, say that fruit juice causes plants to grow taller. There may have been other variables involved. Perhaps the plants watered with fruit juice also received more sunlight or were serenaded with songs from the movie Titanic. In math and science, the general rule is to speak of correlation, not causation. Correlation is easy to support, causation, on the other hand, is a whole different beast.