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Team Sand's PSYC 261 Blog | Our blog for PSYC 261. | psyc261sand.wordpress.com Reviews
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Our blog for PSYC 261.
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Emily’s Data Values: SPSS and Calculator | Team Sand's PSYC 261 Blog
https://psyc261sand.wordpress.com/2008/01/24/emilys-data-values-spss-and-calculator
Team Sand’s PSYC 261 Blog. Emily’s Data Values: SPSS and Calculator. January 24, 2008 at 9:03 pm · Filed under Assignment Two. Calculated using a graphing calculator:. The calculator does not calculate mode automatically but I was able to obtain it from the ordered list I made on the calculator.) Mode: 98.3. Standard deviation: (n-1) 0.729. Standard deviation (n): 0.717. Http:/ en.wikipedia.org/wiki/Standard deviation. Standard Deviation: 0.7293. Leave a Reply Cancel reply. Enter your comment here.
Summary Post | Team Sand's PSYC 261 Blog
https://psyc261sand.wordpress.com/2008/01/21/summary-post
Team Sand’s PSYC 261 Blog. January 21, 2008 at 1:20 pm · Filed under Assignment One. A random event is an event that is impossible to predict because too many unpredic. Table factors influence its occurrence. The degree to which it will impact another event is usually unknown. A systematic event is a non-random event that has a predictable impact on another event. D Mac Ewen, personal communication, January 17, 2008). Some systematic events are present in the data. After Sadie took a dose of medication (...
Probability of selecting Ms. Williams- | Team Sand's PSYC 261 Blog
https://psyc261sand.wordpress.com/2008/01/30/probability-of-selecting-ms-williams
Team Sand’s PSYC 261 Blog. Probability of selecting Ms. Williams-. January 30, 2008 at 5:15 pm · Filed under Assignment Three. Stark, P. B. The Law of Large Numbers. Retrieved January 30, 2008, from. Http:/ www.stat.berkeley.edu/ stark/Java/H. Rel="bookmark" title="Permanent link to Probability of selecting Ms. Williams-" class="permalink" Permalink. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public).
February | 2008 | Team Sand's PSYC 261 Blog
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Team Sand’s PSYC 261 Blog. Archive for February, 2008. February 7, 2008 at 4:42 pm · Filed under Assignment Four. The problem that we are researching is whether or not it is dangerous to talk on a cell phone while driving. Worded differently, we want to know if cell phone use has a significant effect on accident rates. Experimental hypothesis: Cell phone use has a significant impact on the likelihood of an accident occurring. February 1, 2008 at 5:08 am · Filed under Assignment Three. Why we make mistakes.
Summary post-Assignment 2 | Team Sand's PSYC 261 Blog
https://psyc261sand.wordpress.com/2008/01/24/first-draft-summary-post
Team Sand’s PSYC 261 Blog. January 24, 2008 at 9:11 pm · Filed under Assignment Two. 1 The mean is the measure of central tendency that is most influenced by outliers. If a data set includes a number that is either very large or very small, it will make the mean either much highe. Calculated using a graphing calculator:. Median: 98.3(The calculator does not calculate mode automatically but I was able to obtain it from the ordered list I made on the calculator.). Standard deviation: (n-1) 0.729. The follo...
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Blue's Blog | Blog for PSYC 261 | Page 2
https://psyc261blue.wordpress.com/page/2
Blog for PSYC 261. January 17, 2008. 1st Assignment: Body Temperature. 1 Answers to questions related to weekly topic:. Random event vs. Systematic event. Predictability of next temperature value or any future event. Systematic effects present in the data. Seven sources of random variation and their effects on life. The price of gold. Songs heard on the radio. One’s mood each day. 2 Relate assignment to the statistical topic:. If the measurement is taken by mouth, then anything that is hotter or colder t...
Sources, References, Tools, etc. | My Weblog
https://psyc261copper.wordpress.com/2008/01/21/sources-references-tools-etc
Just another WordPress.com weblog. Sources, References, Tools, etc. January 21, 2008 – 6:42 pm. Posted in Assignment 1. For this project we used a digital thermometer and Microsoft Excel. We referred to WebMD to look for causes of body temperature variation. We also referred to class notes and PowerPoint slides that were provided by Professor MacEwen. Laquo; Assignment One Overview. Assignment 1: Body Temperature. Posted January 22, 2008 at 3:33 am. Leave a Reply Cancel reply. Enter your comment here.
My Weblog | Just another WordPress.com weblog | Page 2
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Just another WordPress.com weblog. January 21, 2008 – 5:51 pm. Posted in Assignment 1. Matthew Dugan’s body temperature by day and time. Summary for assignment 1: Questions 1 and 2. January 21, 2008 – 5:46 pm. Posted in Assignment 1. 1) What is meant by a “random event” and how does it differ from a “systematic event”? 2) Is it possible to accurately predict a future event? Assignment 1 Chart Attempt 1. January 21, 2008 – 1:34 am. Posted in Assignment 1. Newer posts ». Rclaa1cb on Assignment 3.
Randomly Generated Numbers | My Weblog
https://psyc261denim.wordpress.com/2008/02/05/randomly-generated-numbers
124; Comments RSS. Specifics of Assignment 3. Relating to the Weekly Topic! Specifics of Assignment 3. Rattrainer on Specifics of Assignment 3. Amack1ll on Randomly Generated Numbers. Rattrainer on Assignment 2: Lab Questio…. Rattrainer on Lab 2: Specifics of the A…. Rclaa1cb on Lab 2: Specifics of the A…. Posted on February 5, 2008. 21 54 45 61 60 40 64 50 78 23 57 10 14 59 87 62 25 1 77. 11 67 26 88 83 58 53 63 89. 71 69 48 84 22 94 90 7 42 74 52 75 28 5 72 93 24 92 12 33 73 44 9 4 19 98 55 85 97.
January | 2008 | My Weblog
https://psyc261sienna.wordpress.com/2008/01
Just another WordPress.com weblog. What does this all mean…. January 28, 2008. Filed under: Lab 2. 8212; mston2qj @ 1:42 am. Done by Danielle and Melanie). Answers to Specifics of the Assignment. Filed under: Lab 2. 8212; dlapi3nz @ 1:41 am. D: 9825-98.1757= 0.0843. M: 9825-97.3743=0.8757. In order to see if our mean body temperatures are good representations we would need more data. If we took our temperatures throughout the semester our means would become more accurate because it would be warmer ou...
January | 2008 | My Weblog
https://psyc261sepia.wordpress.com/2008/01
Just another WordPress.com weblog. Monthly Archives: January 2008. Assignment Two: Order From Chaos- Measures of Central Tendency and Variation. January 25, 2008 – 7:33 pm. The following table displays the statistics of our original temperature recordings collected from Thursday, Jan. 17. Through Monday, Jan. 21. As well as our additional recordings collected from Friday, Jan. 25. Through Saturday, Jan. 26. Multiple modes exist. The smallest value is shown. 2 Relate It To The Statistical Topic From Class.
My Weblog | Just another WordPress.com weblog | Page 2
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Just another WordPress.com weblog. Questions 1 & 2. January 10, 2008. Filed under: Lab 1. 8212; rclaa1cb @ 3:09 am. 1) Q: What is meant by a “random event” and how does it differ from a “systematic event”? A random event is impossible to predict due to the fact that there are too many unpredictable factors that influence its occurence that we cannot know in advance. A systematic event is one that is created by bias. 2) Q: Is it possible to predict correctly any future event? Laquo; Previous Page.
What does this all mean… | My Weblog
https://psyc261sienna.wordpress.com/2008/01/28/what-does-this-all-mean
Just another WordPress.com weblog. What does this all mean… January 28, 2008. Filed under: Lab 2. 8212; mston2qj @ 1:42 am. Done by Danielle and Melanie). Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Notify me of new comments via email.
About | My Weblog
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Just another WordPress.com weblog. This is an example of a WordPress page, you could edit this to put information about yourself or your site so readers know where you are coming from. You can create as many pages like this one or sub-pages as you like and manage all of your content inside of WordPress. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your Twitter account. ( Log Out.
Assignment Three: Estimation and the Law of Large Numbers | My Weblog
https://psyc261sepia.wordpress.com/2008/02/04/25
Just another WordPress.com weblog. Assignment Three: Estimation and the Law of Large Numbers. February 4, 2008 – 3:42 pm. 2 Provide Answers To Questions Related to Weekly Topic. A Making Inferences From Small Samples. Times coin came up tails: 64/100. Times coin came up heads: 36/100. Times 3 heads (boys) came up in a row: 3. That 3 heads (boys) could come up in a row: 98 = 100-(3-1). B The Principle of the Law of Large Numbers. Going to Outback again was probably not going to result in another bad exper...
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Maroon Stats Group | PSYC261
Assignment 3: Law of Large Numbers. February 4, 2008. The definition for the law of large numbers states that the greater amount of experiments taken will have a better representation of the population. The sample mean is closer to the theoretical mean with the more data that is collected. (2008). MacEwan, B. (2008, spring semester). Psychology 261. Class Lectures. University of Mary Washington. Done by Carolyn and Kate). Posted in Assignment 3. Assignment 3: Changing your Oil. February 2, 2008. In our c...
Psyc 261 Section 1 Assignments | Statisticans Ashley Lawrence and Christine Kelly
Psyc 261 Section 1 Assignments. Statisticans Ashley Lawrence and Christine Kelly. Assignment # 6: Calculating with Conditional Probability: Bayesian Ratios. February 25, 2008 by alawr5cf. Use the tree diagram and/or the Bayesian ratio to explain your rationale. What you want is the probability of guilt given that there was a DNA match. P(not guilty) = .9. P(guilty) = .1. These two are called the PRIOR probabilities because they are the probabilities that we started off with. February 17, 2008 by alawr5cf.
My Weblog | Just another WordPress.com weblog
Answers to Weekly Questions on Assignment 3. February 4, 2008 @ 8:40 pm. 183; { Uncategorized. Relation to Weekly Topic from Class. The first question was about obtaining probabilities, and showing the randomness of situations in which there is a 50/50 likelihood of a certain outcome. Mrs. Williams believed she was “wired” for having only boys, when really she just experienced a random occurrence. The last question relates to the weekly topic of reading the normal curve. By calculating the mileage at...
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Rick and Donny's Blog | Just another WordPress.com weblog
Rick and Donny’s Blog. 124; Comments RSS. Posted on February 26, 2008. What we are trying to find is the probability that the defendent is guilty given that there was a DNA match. Putting this into the formula, we are looking for P(Guilty/Positive Test). So after plugging in the rest of the data, the formula will be…. P(G/pos) = P(G) P(pos/G)/{P(G)P(pos/G) P(pos/NG) P(NG). We know that the original P(G) is .10 (therefore P(NG) is .9) and P(pos/G) = .99 (therefore P(pos/NG) is .01). 124; 1 Comment. We cho...
Yay Statistics! | Just another WordPress.com weblog
Just another WordPress.com weblog. Posted in Presentation 3. On February 5, 2008 by cassiek. Law of Large Numbers. Posted in Presentation 3. On February 4, 2008 by poboy3ic. Provide an example that illustrates the principle of the law of large numbers as it might affect you personally. In your example explain under which conditions you will, on average, make more mistakes in judgment and why? Explain, using the standard deviation formula, why smaller samples yield larger variation. Is very close, at 25% ...
Team Sand's PSYC 261 Blog | Our blog for PSYC 261.
Team Sand’s PSYC 261 Blog. February 7, 2008 at 4:42 pm · Filed under Assignment Four. The problem that we are researching is whether or not it is dangerous to talk on a cell phone while driving. Worded differently, we want to know if cell phone use has a significant effect on accident rates. Experimental hypothesis: Cell phone use has a significant impact on the likelihood of an accident occurring. February 1, 2008 at 5:08 am · Filed under Assignment Three. Relating Assignment to the Topic from Class.
My Weblog | Just another WordPress.com weblog
Just another WordPress.com weblog. Assignment Three: Estimation and the Law of Large Numbers. February 4, 2008 – 3:42 pm. 2 Provide Answers To Questions Related to Weekly Topic. A Making Inferences From Small Samples. Times coin came up tails: 64/100. Times coin came up heads: 36/100. Times 3 heads (boys) came up in a row: 3. That 3 heads (boys) could come up in a row: 98 = 100-(3-1). B The Principle of the Law of Large Numbers. Going to Outback again was probably not going to result in another bad exper...
My Weblog | Just another WordPress.com weblog
Just another WordPress.com weblog. Specifics of the Assignment. February 4, 2008. Filed under: Lab 3. 8212; dlapi3nz @ 4:53 am. A Real Life Example of How the Law of Large Numbers Can Affect You. Male Psychology Majors Example. Mean= 3258 miles and the SD= 223. We waited until 3,467 miles until we changed the oil which falls below one standard deviation above the mean. Therefore we did not really wait all that long. The Five Parts of the Weekly Assignment. Filed under: Lab 3. 8212; mston2qj @ 2:16 am.
My Weblog | Just another WordPress.com weblog
Just another WordPress.com weblog. January 10, 2008. Welcome to WordPress.com. This is your first post. Edit or delete it and start blogging! Blog at WordPress.com. Follow “My Weblog”. Get every new post delivered to your Inbox. Build a website with WordPress.com.
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My Weblog | Hypothesis Testing
Assignment 6: Conditional Probability. February 26, 2008, 3:40 am. 8211; probability of some event A, given the occurrence of some other event B. Written P(A B). 8211; statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. 8211; a marginal probability, interpreted as a description of what is known about a variable in the absence of some evidence. P(guilt) = base rate of guilt ( 1 in 10) or .01 or 10%. P(pos no HIV) = fal...
Statistics in Psychology | a blog by Alyssa Berns and Tatiana Ramallo
A blog by Alyssa Berns and Tatiana Ramallo. Assignment 6: Calculating with Conditional Probability: Bayesian Probability. February 25, 2008. 8212; aberns918 @ 5:33 pm. Use the tree diagram and/or the Bayesian ratio to explain your rationale. What you want is the probability of guilt given that there was a DNA match. The probability that a specific event occurs given that another one occurs. A formalism that allows us to reason about beliefs under conditions of uncertainty” (. Endif]– Bayesian Appro...
