# Statistics for psychologists I

## at Maastricht University

++++++ Ask your Statisitcs questions and an experienced Success Formula tutor will answer them as soon as possible ++++++ Any problems or questions while studying/preparing for Statistics? Don't worry, we've got you covered at www.successformula.nl and also here on Studydrive! Just post any of your questions in the Statistics for psychologists I course on Studydrive (as a separate post, not as a comment) and our professional tutors will help you!!! We wish you lots of success! Your Success Formula Team
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Do you have week’s 6 formative test?xx
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what is the definition of a biased estimate in the statistical sense?
Does the sample size play a role when you want to know whether an estimator is biased or unbiased? When I try to look it up online it always just says that it's about the difference between estimator and population, but how can I know whether it is biased or not when I have an exercise like this:
Sample size plays a role in that as the sample gets bigger, you can apply the Central Limit Theorem and therefore the value will get closer to the correct value, although from what I can tell, sample mean is always an unbiased estimator for the population mean
Thank you, that makes sense :)
IGNORE THE Q4 VALUES IN THE TABLE! I was being dumb & scanned before i corrected it, the actual ones are on the right
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Is it right, that Natzen and Schnattern is beneficial for Statistics?
You got it!
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hey. in question 6b where you used the t-table with 9 degrees of freedom how did you get to 1.100 ? Because t=1.18 and the value you got (1.100) is under .15 in the table. Do you have to just pick the closest range or how do you obtain the t-values best?
Hiiii, Well t=1.18 is not in the t-table. So we pick a range between 1,1 and1,383. Looking to the according p-value it has to be between 0,15 and 0,15. So, when the particular value is not in the table you pick a range. From that range you pick the biggest value for P, to stay safe. In this case 0,15
Hey. In Task 11e) you used the t*=1.960 but it is 1.984 or something in this direction. Would be great if you correct it.
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In question 2 I came to the same result as you did, that they are not independent but I used a different approach. When two events are statistically indepedent that means that P(AandB) = P(A) x P(B) and since that is not the case in this question I concluded that they were statistically independent. Is my approach wrong ?
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Exactly right ! If you're confused then page2 of my notes on lecture 1 have a longer explanation
Thank you :)
does anyone got the answers to the SPSS practical 4? It's the one about the t-test
https://www.youtube.com/watch?v=k-xZzEYL8oc&list=PLqzoL9-eJTNBq-C2sh46hYIlZYJ0Z1cIB&index=13 I found this guy on YouTube, he explains everything super well. Give him a thumbs up and a subscribe. I'm really baffled by his clarity
Hey guys, anyone has the solutions for formative test IV? xx
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thank yoooou!!
hi guys. anyone know how to find a tutor for the resit? thanks in advance! :)
Success formula and Vince from PPP (however Vince started weeks ago, next week is task 5)
https://successformula.nl/Maastricht/ will have a crashcourse on 09.04 you can also find private tutoring the the statisitics resit on the website
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is there an answer key for this one ? ?
Hello , does anyone have the output of week 2, the training course from point 6 to 10? It would really help. Thanks
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hey, thanks again for all your summaries ! I just wanted to ask what you base you summaries on? on the book (PPP/the other one/both?) or more on the lecture? or on both the lectures and the chapters ? thanks a lot ! Have a good study time (if it's somehow possible ) ! :)
PPP and a lot of videos from Khan Academy :))) good luck!
perfect thanks ! I didn't know about the Khan academy videos but it seems very helpful thanks for the tip !
Edit: When we reject with a z-test we reject automatically with a t-test but not vice versa
please urgent does anyone have the SPSS outputs for week 3 and 2?
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In your explanation about Type I and Type II errors, you state that a type I error increases if the Type 2 error increases and vice versa. This should be a negative correlation instead of a positive right?
You're right it should be negative. If we increase Type I error type II error decreases and vice versa
Hi guys could someone (with legible hand writing) upload answers to tasks in statistics I missed a couple of tutorials...
39. In which cases will calculation of a 95% confidence interval result in a false representation of actual confidence level? (knowledge questions,task3) Does somebody know the correct answer?
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Haha, you're welcome, you too :). If you have any questions regarding the statistics stuff, just message me (idk if that's possible on studydrive :D), I would say I could help you out in the most cases. I definitely owe you that, since your summaries make Body and Behaviour muuch easier.
ok i need your help and i cant text you via studydrive sooooo message me on facebook please (same name as in here)
Could someone please upload his/her SPSS output for week 6? I wasn't able to be there because of a dentist appointment. Thanks! (:
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Hey, is this for exam version A?
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love you leon♥️
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what do you mean with E at question 5?
expected value
can someone explain to me the difference between a discrete random variable and a continuous random variable ? because the continuous random variable was describe with the use of a density curve it seems to me that the difference is just that discrete random variable is a single number and the continuous random variable is an interval but I'm not sure ? could someone confirm me or explain to me what it really is ? thanks :)
Yes you are already on the right track. Continuous distributions become very important in the later tasks, when we are going to talk about the normal distribution and z-scores. An examples for a discrete random variable could be a score on a test (eg 78 points or 84, ...). It is discrete because you couldn’t get 78,425 points. A good example for a continuous random variable would be a mean score (eg mean of 2,1,5,7= 3,75). Depending on the individual scores the mean could be any number. Does that make sense?
perfect it makes sense thanks !
Heyy...Does anyone have the correct solutions for the exercises in the course manual and is willing to share them?
I'd love to help, but I dont have the exercises. Do you have a specific question about one of the exercises. Maybe I can help you with an easy way how to solve them :)
can anyone explain question 11 on exam 22dec 2016?
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Can anybody please explain me question 14? I have no clue...
you need to calculate MSwithin
++++++ Ask your question for the Statistics course here and an experienced Success Formula tutor will answer it as soon as possible ++++++ Any problems or questions while studying/preparing for Statistics? Don’t worry, we got you covered! Just post any of your questions on the Statistics discussion page on Studydrive and our professional tutors will help you!!! We wish you lots of success! Your Success Formula Team
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Great summary! I like it!
Is there someone who made a table with all the different tests and when they can be used, similarities etcetc??? PLEASE HELP!
if you search for Math. F she made some very good summaries with tables for every tasks, showing you what to use and when
If you are in the facebook group UM psychology 17-20, Vince Penders uploaded a very good summary of everything :) I studied with those trees last year :)
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Where is the answer key?
thank you :)
Did someone make flashcards online for statistics? :) THAT WOULD BE AMAZING!
Does anyone have some tips for the statistics exam? :) Was it difficult?
If you manage to look at previous years exams that will help sooooo much. Each year they use almost exactly the same type of exercises. Of course there are changes with the data and names and not every exercise is the same, but very very similar.
hello, did someone answer all the knowledge questions ?
Asked before if they could give answers but he said they wouldn't give them out. If you hear something let me know!
hey! has someone maybe the correct answers for the exercises who where in the course manual ? :)
if you message me on facebook i can send it to you
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When we are talking about a population, we talk about standard deviations. When we talk about a sample we call it a standard error. so it is basically the same thing! my bad
nop, when you are performing inference about a single data point you use Standard Deviation, but, when you are making inference about a SAMPLE MEAN, you use the Standard Error, that is why it is the Variance divided by the square root of the sample size...
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When you download the file, there is better quality. Succes everybody !
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On page 3 you state the standard deviation and give the formulae but isn't that the formulae for standard error of the sample mean?