PONCHO PARTY 2016
GUYS
LOOK AT THIS THING I FOUND AT GOODWILL
(Ignore my fugly reflection and look at the colors.)
It’s made of towel fabric and is super warm. And it’s mine now. It won’t fit in my suitcase so I’ll have to have my mom ship it up here, but I’ll have it before COLD HARSH CANADIAN WINTER™ sets in up here.
That’s all I’ve got today, sorry.
Annabelle
I have some bad news, y’all.
My sweet little Annabelle had a stroke and isn’t doing too well right now.
Peter called my mom and told her that they were taking her to the vet the other day because she was walking funny and acting strange, and it sounds like the cause of that was a stroke, not something simpler/treatable like a thyroid issue as we were originally hoping.
So I’m not sure how much longer she’s got, and it’s making me so, so sad. I’ve just spent the past hour or so crying.
Poor little thing. Send her good thoughts, huh?
d,jdkfjsdlkjfs
1. Do you like blue cheese?
I like most types of cheese. Blue cheese is not one of those types.
2. Have you ever smoked cigarettes? If yes, how did you quit?
Nope! I’ve never had the desire to. It seems pretty gross.
3. Do you own a gun? How are your feelings about gun control/2nd Amendment rights?
I do not own a gun, no. I don’t really want to, though I’ve always thought shooting (like at a range or skeet shooting or whatnot) would be a pretty cool hobby. BUT. I don’t know what the US is doing wrong as far as gun control goes, but it’s very obvious that they’re doing SOMETHING wrong. It needs to be fixed, and it needs to be fixed fast.
4. What is your favorite flavor of water?
Um…water-flavored? I HATE flavored water. A few weeks ago, I was on mile 15 of a walk and was SUPER thirsty. I went to a Safeway and grabbed the first normal-looking bottle of water I could, bought it, and went back outside. Without looking at the label, I opened it and took a big drink. Turns out it was grape-flavored water. Almost puked. Thirst was not quenched. Rage was fueled.
5. Do you get nervous before a doctor visit? Why?
I used to. But I don’t go to the doctor anymore, ‘cause they’re all hacks. Unless my illness/injury is at its absolute maximum severity, I can handle it on my own. Doctors can suck it.
6. How do you like your hot dogs?
Cooked, in a bun, and covered in a lot of ketchup. Simple.
7. Although it’s been asked a lot, tell us about a favorite movie that you haven’t shared before.
My favorite movies is Sunshine. But a movie I enjoy that I’ve been thinking a lot about lately is The Music Man. It’s fantastic. See?
8. What do you prefer to drink in the morning?
I’m not usually thirsty in the morning. Though if I am, I want water.
9. In a dating situation, have you ever misrepresented yourself to seem cooler or hipper? (Yes we know for most of you it was long ago…)
CAN’T GET HIPPER THAN ME, BRO!
10. What’s your favorite piece of jewelry? Why?
My engagement and wedding rings. For obvious reasons.
11. Favorite hobby? Tell us about it so we understand it.
I actually don’t have a lot of what you would consider “hobbies.” I have a lot of things I like, but they don’t really translate into actual hobbies. Unless looking stuff up about [insert interest here] is a hobby. Then I have plenty.
But as far as traditional, non-debatable hobbies go, I’d say drawing is my favorite. It’s very tedious, and thus very relaxing.
12. Do you have A.D.D., or have you suspected it?
Nope. Never expected it, either. And I honestly think that’s overdiagnosed nowadays, anyway.
13. What’s a thing you dislike or would change about yourself?
I do not have enough time to list everything I dislike/would want to change about myself right now. There’s a lot of it.
14. Middle name? Like it or not?
My middle name is the most common female middle name in the US (Marie). It goes well with my first and last names, but I’d be okay with a more unique one.
15. Name three random thoughts you might have on this week:
*stressed screeching* (it counts as a thought)
I’m happy to see my mom, but I miss Nate.
I NEED MORE WALKING MILES!
16. Name 3 drinks you regularly drink. Tell us a bit about them.
Um…I basically just drink water. So…water, water, and water. Not sure what else to say.
17. Current worry:
DON’T GET ME STARTED
18. Current annoyance:
DON’T GET ME STARTED
19. Favorite place to be in the summer? Give us a wee bit more than “the beach”.
Out walking. Anywhere. I like summer in Moscow because all the students are gone, but I’m enjoying walking in Calgary during the summer too, especially now that I’ve found the River Walk. It’s even better when it’s not storming.
20. How do you usually ring in the new year?
Crying.
21. What have you done this summer that’s special? Pictures please.
I ruined our planned vacation for this summer, ‘cause I’m just that special. So no pictures of that. Sorry.
22. Have you ever walked into a room with just shoes on?
Um…yes. Yes I have.
GUN IT!
Beat this walking speed, bitches:
This was Pullman and back, so I didn’t have to worry about stopping at crosswalks/stop lights except in Moscow, so that helped.
That’s a 12.27-minute mile, by the way. Not too shabby. Too bad I don’t walk that fast all the time.
Edit: ow, my quads.
Week 34: The Within-Subjects Factorial Analysis of Variance
Today we’re going to look at a test similar to the one we looked at two weeks ago. Specifically, we’re going to look at the within-subjects factorial analysis of variance!
When Would You Use It?
The within-subjects factorial analysis of variance is a parametric test used in cases where a researcher has a factorial design with two* factors, A and B, and has a set of subjects that are measured on each of the levels of all of the factors. The researcher is interested in the following:
- In terms of factor A, in the set of p dependent samples (p ≥ 2), do the factor levels effect the variable of interest across the dependent samples?
- In terms of factor B, in the set of q dependent samples (q ≥ 2), do the factor levels effect the variable of interest across the dependent samples?
- Is there a significant interaction between the two factors?
What Type of Data?
The within-subjects factorial analysis of variance requires interval or ratio data.
Test Assumptions
- Each sample of subjects has been randomly chosen from the population it represents.
- For each sample, the distribution of the data in the underlying population is normal.
- The variances of the k underlying populations are equal (homogeneity of variances).
Test Process
Step 1: Formulate the null and alternative hypotheses. For factor A, the null hypothesis is the claim that the mean of the subjects’ scores across the different levels are equal. The alternative hypothesis claims otherwise. For factor B, the null hypothesis is the claim that the mean of the subjects’ scores across the different levels are equal. The alternative hypothesis claims otherwise. For the interaction, the null hypothesis claims that there is no interaction between factor A and factor B. The alternative claims otherwise.
Step 2: Compute the test statistics for the three hypothesis. To do so, we must find SSA, SSB, and SSAB. First, find the following values:
Then, find the SS values as follows:
Then find the MS values:
Finally, compute the three test statistics, F-values, for factor A, factor B, and the interaction.
Step 3: Obtain the p-value associated with the calculated F statistics. The p-value indicates the probability of the ratio of the MSA, MSB, or MSAB to MSWG equal to or larger than the observed ratio in the F statistics, under the assumption that the null hypotheses are true.
Step 4: Determine the conclusion. If the p-value is larger than the prespecified α-level (or the calculated F statistic is larger than the critical F value), fail to reject the null hypothesis (that is, retain the claim that the population means are all equal). If the p-value is smaller than the prespecified α-level, reject the null hypothesis in favor of the alternative.
Example
I don’t have a good example of my own for a within-subjects factorial analysis of variance, so I figured I’d use the example from the book! An experimenter employs a two-factor within-subjects design to determine the effects of humidity (factor A, two levels) and temperature (factor B, three levels) on mechanical problem-solving ability.
Here, n = 18 (three subjects across 2 x 3 different conditions) and let α = 0.05.
H0: µlowhumidity = µhighhumidity
Ha: the means are different
H0: µlowtemp = µmodtemp = µhightemp
Ha: at least one pair of means are different
H0: there is no interaction between humidity and temperature
Ha: there is an interaction between humidity and temperature
Computations:
Since all of these p-values are smaller than our α-level of 0.05, we would reject the null hypothesis in all three cases.
Example in R
x=read.table('clipboard', header=T)
attach(x)
fit=aov(score~humidity+temp+humidity:temp)
summary(fit)
*This test can be done with more factors, but for now, let’s just stick with two.
NO
Good lord, I had a bad dream about Annabelle last night. It was horrific. Let me share it with you.
In the dream, I’m in this mostly empty house with my grandma (on my mom’s side) and Annabelle. We are all just standing around when a huge explosion sounds and a giant fireball appears in the distance. We don’t know if this was some sort of nuclear detonation or a volcano erupting, so we (including Annabelle) to go down to the basement just to be safer from whatever was going to start falling from the sky.
So we head down to the basement and I start calling my mom and Nate, trying to get ahold of them to see if they’re safe. No one is answering and I’m getting more and more panicked. Grandma is, of course, making all these snide, sarcastic remarks about my trying to get ahold of people, and I’m yelling at her to shut up because she’s not making things any better (it’s just like in real life!).
Then water starts coming in through the basement’s outside door at quite a rapid rate. All of us try to keep out of the water, climbing halfway up the basement stairs but still not going back upstairs. Then I see that lava is starting to flow in under the door as well. The lava rapidly starts heating up the water to the point that it is too hot to touch. Meanwhile, the water is rising higher and higher, faster and faster. I’m still on the phone, trying to get in touch with my mom and Nate, panicking because I don’t know if they’re safe or if they’re worried about us.
The water keeps rising and is suddenly nearing the very top of the basement. My grandma and I are on the top few stairs and realize we have to get out. I then notice that Annabelle is not with us. She’s on the top of a bookshelf which is rapidly being surrounded by the rising water. She’s not anywhere near the stairs, and there’s no way I can save her.
I start screaming from the top of the stairs, “I’m sorry, Annabelle! I’m sorry! I’m sorry I can’t save you, I love you!” The water keeps rising and rising and I can’t see her anymore, but I know she’s going to drown.
It was the worst dream I’ve had in a while. I hate dreams involving bad things happening to my kitties, and I really hate dreams where I have no control over the bad things that are happening. The only comfort to this dream is knowing that in real life I 100% would have waded through the boiling hot water to try and save Annabelle. No question.
THIS JUST IN:
I am trash and should be disposed of immediately.
STRESS MODE ACTIVATED
I am in a crappy mood and thus have no desire to blog.
So have some (NSFW) internet nonsense and leave me alone.
I remember this, oh my god:
THIS TOO. Aaron found this back when we were all living in the house. We would yell “WHAT?!?!” at each other at every opportunity for like three months after seeing this:
Matt brought these to my attention awhile ago and I just re-found it on my “liked” videos playlist on YouTube.
CleAwesome
Hot damn, I want one.
Super cute.
I may or may not be a little obsessed with Clefairy and Clefable right now. Blame the noises they make in Pokemon Go. And how soft and happy they look.
SUPER.
CUTE.
Wedding Pictures!
We got our official wedding pictures yesterday, so for those of you who aren’t on Facebook, have some pics of Nate and me getting married! (I didn’t include any with his family, ’cause I didn’t know if they’d feel comfortable being on some random blog.)
WALK DA WALK
So Nate and I did a 24 mile walk today that put me over 1,000 miles on my shoes, over 2,000 miles for the year, and finally got us accomplishing our goal of walking to Southcentre and back. A few things worth noting on this walk:
We took another gym!
Pidgey Party 2016
This enormous caterpillar.
It’s hard to see exactly how big this bro was, but he was massive. Here’s my foot for scale.
A sign outside a florist’s.
Bonus picture: Jazzy with her tongue sticking out.
END!
Favorite Disney Songs
Have a list of my favorite Disney songs/animated sequences, ‘cause now that the thesis nonsense is over, I don’t know what to do with my time other than provide crappy blogs.
OH WAIT I WAS DOING THAT BEFORE, TOO.
Let’s do it.
5. Be Our Guest (Beauty and the Beast)
Lumiere, man.
4. The Bells of Notre Dame (The Hunchback of Notre Dame)
That high note at 5:01, holy hell. Gives me the chills.
3. Just Around the River Bend (Pocahontas)
I don’t know why, but I’ve always just really liked this song. It’s my favorite Pocahontas song.
2. Hellfire (The Hunchback of Notre Dame)
Frollo is great, man. I love that he’s a villain not because he’s got that “I know I’m doing something wrong but I’m going to do it anyway because it benefits me” thing that so many Disney villains have, but because he really thinks he’s in the right and doing things according to his religious beliefs.
1. I’ll Make a Man out of You (Mulan)
Does this one need an explanation? Really?
Rio
Want to know your Olympic body match at the 2016 games? Find out here!
Here’s my info:
Cool! I’d found something similar to this a while ago, but it was all in Spanish and didn’t have any graphs.
Yawn
Down the Rabbit Hole
1. What was the subject of one of your memorable YouTube holes?
Heh. That sounds dirty. A few years ago, I found a gifset on Tumblr that ended up being from the video, “Gaston’s Ultimate Mission to Obtain Some Taco Bell.” So, of course, I watched it on YouTube, which led me to the vast and wonderful world of YouTube poop. Does that count as a YouTube hole?
2. What was your most recent Wikipedia hole like?
Cheese. I had looked up Colby-Jack cheese on Wiki to see if there was any reason listed as to why Canada has absolutely zero Colby-Jack within the entire country (seriously…no C-J up here. Nate had never even heard of it). That led me on a wonderful journey though the cheese articles on Wiki.
3. What’s a recipe you got from the internet and actually prepared? How did it turn out?
I found this recipe in early 2014 (I think?) and it looked so good that Nate and I decided to try it out on our first Valentine’s Day together. It tastes as good as it looks, seriously. TRY IT.
4. What apparently little-known website do you enjoy?
Luciferous Logolepsy is always good. And Mathematician of the Day.
5. What apparently popular website can you just not get into?
Instagram. What’s the point? GET A BLOG YOU PLEBS
THESIS ROUND II
Guess who successfully defended their thesis this morning?
I DID!
It honestly didn’t feel like as big of a deal as my first defense did back in 2011. Maybe it’s because I knew what to expect since I’d done it before. Maybe it’s because I felt more prepared and confident about the subject matter this time around. Maybe it’s because I’m just older and more mature than I was in 2011 and am less prone to freaking out.*
But it doesn’t matter, ‘cause now I’m DONE! I just have a few minor corrections/additions to make, then send the thesis off to the online Vault so that it’s officially submitted.
YAY!
*Who am I kidding? I’ll always be prone to freaking out.
Week 32: The Between-Subjects Factorial Analysis of Variance
Today we’re going back to parametric testing with the between-subjects factorial analysis of variance!
When Would You Use It?
The between-subjects factorial analysis of variance is a parametric test used in cases where a researcher has a factorial design with two* factors, A and B, and is interested in the following:
- In terms of factor A, in the set of p independent samples (p ≥ 2), do at least two of the samples represent populations with different mean values?
- In terms of factor B, in the set of q independent samples (q ≥ 2), do at least two of the samples represent populations with different mean values?
- Is there a significant interaction between the two factors?
What Type of Data?
The between-subjects factorial analysis of variance requires interval or ratio data.
Test Assumptions
- Each sample of subjects has been randomly chosen from the population it represents.
- For each sample, the distribution of the data in the underlying population is normal.
- The variances of the k underlying populations are equal (homogeneity of variances).
Test Process
Step 1: Formulate the null and alternative hypotheses. For factor A, the null hypothesis is the claim mean of the population levels are equal. The alternative hypothesis claims otherwise. For factor B, the null hypothesis is the claim mean of the population levels are equal. The alternative hypothesis claims otherwise. For the interaction, the null hypothesis claims that there is no interaction between factor A and factor B. The alternative claims otherwise.
Step 2: Compute the test statistics for the three hypothesis. To do so, we must find SSA, SSB, and SSAB. First, find the following values:
Then, find the SS values as follows:
Then find the MS values:
Finally, compute the three test statistics, F-values, for factor A, factor B, and the interaction.
Step 3: Obtain the p-value associated with the calculated F statisticS. The p-value indicates the probability of the ratio of the MSA, MSB, or MSAB to MSWG equal to or larger than the observed ratio in the F statistics, under the assumption that the null hypotheses are true.
Step 4: Determine the conclusion. If the p-value is larger than the prespecified α-level (or the calculated F statistic is larger than the critical F value), fail to reject the null hypothesis (that is, retain the claim that the population means are all equal). If the p-value is smaller than the prespecified α-level, reject the null hypothesis in favor of the alternative.
Example
Today’s example looks at my 2015 music data again! I want to see if a) the mean play count is different for those of my songs that are “favorites” (3+ stars) or non-favorites; b) the mean play count is different for any of four genres of interest (alternative, electronic, pop, rock); c) if there is an interaction between these two factors, genre and favorite status. Here, n = 400 and let α = 0.05.
H0: µfavorite = µnofavorite
Ha: the means are different
H0: µalternative = µelectronic = µpop = µrock
Ha: at least one pair of means are different
H0: there is no interaction between favorite status and genre
Ha: there is an interaction between favorite status and genre
Computations:
Since all of these p-values are smaller than our α-level of 0.05, we would reject the null hypothesis in all three cases.
Example in R
x=read.table('clipboard', header=T)
attach(x)
fit=aov(playcount~favorite+genre+favorite:genre)
summary(fit)
Df Sum Sq Mean Sq F value Pr(>F)
favorite 1 9053 9053 30.587 5.84e-08 ***
genre 3 4333 1444 4.880 0.002419 **
favorite:genre 3 5454 1818 6.143 0.000433 ***
Residuals 392 116016 296
*This test can be done with more factors, but for now, let’s just stick with two.
nyoom
Sometimes I like to search for “common” things on Amazon—like watches, headphones, water bottles, etc.—and then sort the results by price from high to low. I like to see just how ridiculously expensive the first* item is. Just for some fun. Want some examples?
Headphones: HiFiMan HE1000 Open-Back Planar Magnetic Headphones ($2,368.95)
Pen: Mont Blanc Meisterstuck 149 Fountain Pen ($915)
Calculator: HP 15C Limited Edition Scientific Calculator ($695.00)
Pastels: Caran d’Ache Classic Neocolor II Water-Soluble Pastels ($1,293.97)
Scissors: ICAR 13” Tailors’ Shears/Scissors ($389.99)
*Okay, I really look at the first item that looks legit. Like, it has to have at least one review and have a “realistic” price. No billion-dollar trash cans, yo.
slsl
I miss Moscow
I MISS MOSCOW
I
MISS
M
O
S
C
O
W
Fuck.
I DON’T HAVE A TITLE
1. You’re building your dream house. What’s the one thing that this house absolutely, positively MUST HAVE? (other than the obvious basics of course)
I don’t know if it’s a “must have,” but I’d love to have a dedicated exercise room. Like with a treadmill/bike/elliptical/weights in it. That’d be great. I’d be in there all the time.
2. What is your dream car?
A soft-top Jeep Wrangler. Preferably yellow, but that’s not as important, as I can always get it painted. I don’t know why I love that particular type of car, but I’ve always wanted one.
3. What is your favorite website that isn’t a blog.
Uhhhhhhhhhhhhhhhhh…Food Gawker’s nice. I also like that Mathematician of the Day website, ‘cause mathematicians.
4. iPhone or Droid, which do you want/have?
I have a Samsung Galaxy S6!
5. When you’re feeling down or lonely or just generally out of sorts, what do you do to cheer yourself up?
Nothing. I brood. I win the gold medal in brooding.
6. Tell me about something or someone that you love that most people seem to hate.
I love stats. A lot of people don’t, which makes me super sad. That’s why I want to be able to teach it so that it’s accessible and not scary.
7. What did you want to be when you grew up?
Depends on how old I was. I wanted to be someone who made a difference, at least.
8. Would you go on a reality show if given the chance?
Maybe? Depends on what it is. I remember wanting to be on Fear Factor when that was a thing.
9. Who was your favorite teacher when you were growing up? (Grade school, Middle School, Jr. High or High School only.)
Grade school: Mrs. Donovan, the year-long sub for 2nd grade (she liked me and let me sit in a fridge box in class ‘cause I was a weird little bugger)
Junior high: Mr. LaFortune, my earth science teacher! In 7th grade I was really into riding my bike everywhere, and Mr. La was an avid bike-rider, so we’d talk about that. He also let me act as the Alex Trebek of our little Jeopardy!-like reviews of the material.
High school: Mr. Garrett, my band teacher! He also taught band in junior high, but I wanted to put Mr. La for that one, haha. Mr. Garrett is awesome. He’d give us “tests” in band, which was code for “we’re not doing anything today but watching a movie.”
10. You get one pass to do something illegal or immoral. What are you gonna do?
Jaywalk! JAYWALK LIKE THE WIND!
(I actually don’t know.)
11. What were you doing 10 years ago?
August 2, 2006? Well, thanks to the miracle of daily blogging, I can tell you exactly what I was doing! While my blog post for 8/2/2016 is just talking about the fact that I know a lot of people whose birthdays are August 2nd, looking at other blogs around that time, I was cleaning up my stuff and packing things to head off to college at the end of the month! Exciting times. I remember doing that.
12. By this time next year, I …
Will hopefully have a stable job (teaching stats perhaps?!??!?!?!).
13. What is something that you need to do but you’ve procrastinated on?
Making my PowerPoint slides for my defense next Monday. Still haven’t even started those, haha. Oops.
14. What is your greatest pet peeve?
I don’t know if I can pick just one. People who don’t know how to courteously use a sidewalk. Company logos changing for no good reason. Twitter.
15. Tell me about your most recent trip of more than 100 miles?
Did we drive more than 100 miles on our botched road trip this year? I’m pretty sure we did. There’s not much to tell about that, though, so blah.
16. Which do you use more often, the dictionary or the thesaurus?
Dictionary, probably.
17. What are you dreading at the moment?
My thesis defense next week. I want it to be over, but I don’t want it to happen, haha. Just give me the degree, seriously.
Yayz
Y’all. Nate and I are so happy together.
We had a really good breakfast at our super fancy hotel this morning, then finally made it back home. Then we went out and caught Pokemon together, because that’s what newlyweds do, right?
I love this man. I love him, I love him, I love him.
WEDDING
Guess who just got married?!
(Technically I’m writing this on the 1st, since I didn’t want to spend our wedding night blogging, but I’m totally counting it as my July 31st blog post. Fight me.)
It was a very wonderful day. The weather was being iffy, so we decided to just have the ceremony at the hotel rather than at the park as originally planned, but I think it was better this way. No hauling families to and from the park, no burning sun and/or thunderous storms, no people wandering through the ceremony while playing Pokemon Go.
The ceremony itself was awesome. My dad was super nervous walking me down the aisle, but he managed my veil without incident and didn’t pass out. Yay for dad!
The reception was nice, too. We had really good sorbet and super chocolatey wedding cake, then got a bunch of cool presents (and a whole ton of money).
Then Nate and I spent the night at the Kensington Riverside Inn, courtesy of my mom. It was super fancy.
I can’t believe how lucky I am to be married to such an amazing person. We are just right for each other, and I’m excited about spending the rest of our lives together.
(Wedding pictures will be posted on here once we get them from the photographer.)
Eigenblogger 