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My Weblog | Just another WordPress.com weblog | psyc261indigo.wordpress.com Reviews
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Just another WordPress.com weblog
psyc261indigo.wordpress.com
Strengths & Weaknesses | My Weblog
https://psyc261indigo.wordpress.com/2008/02/05/strengths-weaknesses
Just another WordPress.com weblog. Laquo; Oil Change. Probability is found in mathematical equations to ensure reliability. Calculators help prevent human error. Including our own examples of The Law of Large Numbers helps us understand the theorem more thoroughly. Human error (entering calculations incorrectly). This entry was posted on February 5, 2008 at 3:03 am and is filed under Lab III. You can follow any responses to this entry through the RSS 2.0. Feed You can leave a response. From your own site.
Law of Large Numbers | My Weblog
https://psyc261indigo.wordpress.com/2008/02/05/law-of-large-numbers
Just another WordPress.com weblog. Laquo; 3 Male Succession Probability. Law of Large Numbers. The Law of Large Numbers (LLN). Is the theorem that describes how a random-variable stabilizes over a long period of time. Jakob Bernoulli first proved the law of large numbers in 1713. This stamp displays the formula and graph for the law of large numbers.). MacEwen, B. (2008, spring). Psychology 261. Class lectures. University of Mary Washington. Law of large numbers. (2008). In Encyclopædia Britannica.
Oil Change | My Weblog
https://psyc261indigo.wordpress.com/2008/02/05/oil-change
Just another WordPress.com weblog. Laquo; Law of Large Numbers. You waited 3,467 miles before you changed oil (MacEwen, 2008). The mean people wait to change their oil is 3,258 miles (MacEwen, 2008). The standard deviation is 223 miles (MacEwen, 2008). Z= (3,467 – 3,258)/223 The Normal Curve. Area above and below mean. Area between median and Z-Score. 5-17618 = .32382). MacEwen, B. (2008, spring). Psychology 261. Class lectures. University of Mary Washington. Feed You can leave a response.
About | My Weblog
https://psyc261indigo.wordpress.com/about
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.
Strengths & Weaknesses | My Weblog
https://psyc261indigo.wordpress.com/2008/01/29/strenghts-weaknesses
Just another WordPress.com weblog. Laquo; Correct Body Temperature. Having both partners collect data. SPSS provides more precise measures of central tendency. Knowledge of our average body temperature can help determine sickness in future. Data is not collected for a long enough time. Human error occurs on a calculator and when entering data on SPSS. Data collected is effected by systematic bias and random variation. Technology issues with wordpress.com. Feed You can leave a response. From your own site.
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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.
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.
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.
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...
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
https://psyc261orange.wordpress.com/about
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 WordPress.com account. ( Log Out. Notify me of new comments via email.
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Team Chestnut | Emily Blease and Moire Garahan
Emily Blease and Moire Garahan. Assignment #6 : Calculating with Conditional Probability: Bayesian Probability. February 26, 2008 by mgara1pc. 8220;Bayes Theorem” :. Example is from AIDS problem, but can be applied to the questions asked in this lab assignment). P(HIV pos) = p(HIV)p(pos HIV)/{(p(HIV)p(pos HIV) (p(no HIV)p(pos no HIV)}. Question #1: (note: sensitivity of DNA test is exactly 100% = 1). Imagine you are a juror for a murder trial. The prosecution states that this genetic profile is found in ...
My Weblog | Just another WordPress.com weblog
Just another WordPress.com weblog. February 3, 2008 – 10:39 pm. Posted in Assignment 3. Law of Large Numbers – the rule or theorem that the average of a large number of independent measures of a random quantity tends toward the theoretical average of that quantity (2006). Relate to class topic. Shown throughout the questions. Probability of Three Boys. Only one time did exactly three boys in succession occur during Matt’s trial using the random application of the TI-83 calculator. (Matt). Http:/ dictiona...
psyc261cranberry.wordpress.com
Team Cranberry | Quela Carlson & Melissa Shepherd
Quela Carlson and Melissa Shepherd. Assignment #6: Calculating with Conditional Probability: Bayesian Probability. Imagine you are a juror for a murder trial. The victim, a 29-year-old woman, was stabbed to death in her home. The defendant is a 30-year-old man, who is a neighbor of the victim. After questioning a number of the victim’s neighbors, police brought the defendant in for further questioning, and they noticed he had a cut on his arm. Thus, there is only a 1% chance that a randomly selected, inn...
My Weblog | Just another WordPress.com weblog
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.
Team Green | Psyc261- Statistics for Psychology
Psyc261- Statistics for Psychology. The law of large numbers as it affects Kyle and Joseph. February 4, 2008. Filed under: Lab project 3. 8212; jtweedd @ 8:48 pm. Filed under: Lab project 3. 8212; kwadkins @ 8:48 pm. When flipping a coin we found that the percentage for the mother having 3 boys in a row was about 32%. She simply had a random of event of having 3 boys in a row. If she were to have another child, the likely hood of having a girl or boy would still be at 50%. Filed under: Lab project 3.
My Weblog | Just another WordPress.com weblog
Just another WordPress.com weblog. Posted in Lab III. On February 5, 2008 by amack1ll. Probability is found in mathematical equations to ensure reliability. Calculators help prevent human error. Including our own examples of The Law of Large Numbers helps us understand the theorem more thoroughly. Human error (entering calculations incorrectly). Posted in Lab III. On February 5, 2008 by amack1ll. You waited 3,467 miles before you changed oil (MacEwen, 2008). Z= (3,467 – 3,258)/223 The Normal Curve. MacEw...
Snyder/Merica
Calculating with Conditional Probability: Bayesian Probability. February 20, 2008. 8212; kmerica @ 8:18 pm. 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. During the trial, after you hear m...
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...
