Linear Regression
This is the variable that represents the predicted y value
What is y hat
Your friend says that since people seem to be carrying umbrellas every time it is raining, then there is statistical evidence that umbrellas cause rain. This is what you would say to your friend
What is no. Correlation =/= causation
I am testing if reading a bedtime story every night to plants makes them grow faster. I read to 10 plants and don't read to another 10 plants. This is the treatment in the experiment
What is reading to the plants every night?
Out of the following, this is the fake cereal:
-- Count Chocula
-- Skelly Crunch
-- Boo Berry
-- Yummy Mummy
What is Skelly Crunch
Pick a number 1-4
Congratulations! You have stolen 200 points from that team (if this was your own team, your score does not change).
This is what LSRL stands for
What is least squares regression line
This is the name of a hidden variable that could actually be responsible for the correlation between two other variables
What is a confounding variable
I am testing a new medication to treat the condition where people think cilantro tastes bad. Experimenters give test subjects (a group of people who have this condition) one of two pills-- the cilantro cure or a placebo. Experimenters then ask the test subjects to eat cilantro and rate how bad it tastes on a scale of 1-5. This is what I would have to do to make sure this experiment is double blind
What is neither experimenters nor experimental units (test subjects) know who got the real cilantro pill
Transylvania is a region in this country
What is Romania
Each team nominate one person
Interpret the following: the residual for Dracula's test score was -12 points.
What is Dracula's test score was 12 points lower than predicted by the LSRL
I want to estimate the average height of a Webb student. Luckily, everyone is lined up for a group picture in ten rows. I sample by randomly choosing two rows and measuring the heights of every student in that row. Explain the bias (or lack thereof) in this sampling method.
What is there is no bias... it is imprecise, but overestimating and underestimating are equally likely. Repeating this study enough times will yield an accurate result. This is a cluster sample.
This is the name of a block design where the blocks are of size two.
What is matched pairs?
Daily Double! You can risk up to all of your points or 1000 (whichever is greater)
This is Shaggy's last name (from Scooby Doo)
Pick a number 1-100
If you picked an even number, your score goes down by 300 points. If you picked an odd number, your score goes up by 300 points
Daily Double! You can risk up to all of your points or 1000 (whichever is greater)
In terms of training and testing data, explain the term overfitting in machine learning
The math department wants to see how stressed the typical math student at Webb is about their coursework. However, they want to make sure all math classes are represented, so they randomly select 5 students from each math class-- making the study an example of this sampling method.
What is stratified random sampling
Criss Angel says he is able to read your mind and guess what card you are thinking of. We run an experiment where you think of a card and he guesses, and repeat 100 times. While he didn't get all of them correct, we end up with a result that is "statistically significant." In this context, what does "statistically significant" mean?
What is...
it is unlikely that Criss Angel would have guessed your card correctly the number of times that he did purely by chance
This is the difference between a ghost and a ghoul
What is... the main difference is that ghosts are non-physical apparitions, but ghouls have a physical body. Ghouls are a reanimated corpse similar to a zombie, while ghosts are purely spirits of the dead.
This is what random.org uses to generate its random numbers
What is atmospheric noise (radio static also accepted)
The LSRL on a scatterplot of number of pumpkin seeds vs. pumpkin volume has an r value of .68. Find and interpret r^2.
What is 46.24% of the variation in number of pumpkin seeds can be explained/predicted by its linear relationship with pumpkin volume
This is a situation where a systematic random sample might be used, and this is how it would be set up.
Answers vary... any situation where things are naturally "lined up" in some way. Example:
What is exit polling-- ask every tenth person leaving the voting area who they voted for
I took a random sample of Webb boarding students and measured how often they go to breakfast. I also looked at their grades in SIS. I plotted their grades against their breakfast frequency and saw a strong positive relationship between the two. This is the exact conclusion I am able to draw.
What is there is a statistical link between grades and frequency of eating breakfast for Webb boarding students
This is the only standard M&M color that is not a standard Skittles color
What is brown
This is an example of a pseudorandom number generation method
Multiple answers accepted, most likely would be... What is use an irrational number?