What Music Does to Memory...
By: Denellea McIntosh and Nichole Pierce
AP Statistics Period 1
Purpose
Music, one of the many factors that enhance our lives, has been a widely ranged field. From Classical music to Hip Hop, there are listeners of all ages, each having their own preference of music. Through research, it has been discovered that memory can be affected by many different factors, including music. Music has been found to stimulate parts of the brain, alleviating stress and depression. Additional research also shows that music, especially Classical, enhances the storage and recall of memory. Therefore we decided to test the effect of music on memory to evaluate the changes and differences. Design

Population Inference: B.A. HS Students. Two classrooms were used for the treatment with music and two classrooms were used for the control groups. A test on vocabulary consisting of 10 words was given to two of these classrooms where the vocabulary words are provided prior to the test to see if music will affect the student’s memory. No name was required to be written on the tests, of course. Classical music was played during the entirety of the experiment. 5 minutes were given for studying for the test and 5 minutes were given for taking the test. The number correct was averaged from the two classrooms treated with music and the scores correct were averaged from the two classrooms with no music playing. The differences between these averages were compared using a two-sample mean inference testing. μ1 represents the control group’s average score, μ2 represents the treatment group’s average percentage. The null hypothesis (H0): there is no difference in test score with and without music: μ 1= μ 2; The alternative hypothesis (Ha); there is a difference in test score with and without music: μ 1≠ μ 2 Lurking Variable

Different people might be affected by different types of music, so it is fair to control that difference by limiting the music to one type,...

...of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok used this sampling method are that the cost per observation in the survey may be reduced and it also enables to increase the accuracy at a given cost.
TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean
107.15
Std Dev
5.1536687
Std Err Mean
0.3644194
Upper 95% Mean
107.86862
Lower 95% Mean
106.43138
N
200
Sum
21430
From the table above, the total number of passengers for route 1 is 44,266, route 2 is 29,131 and route 3 is 21,430 and the total numbers of passengers for 3 routes are 94,827.
Although route 1 has the highest number of passengers and flights but it has the lowest means of passengers among the 3 routes. From...

...progressing. The company provided a data sample from the past 12 months with 200 entries, each with 6 variables. The aim of this report is to evaluate the success of CCResorts in fulfilling their key performance indicators as outlined in their business plan, determines the clientele that are attracted to CCResorts and analyses the effect of different variables on the expected expenditure of the customers. The statistical analysis yielded several significant conclusions discussed in terms of their implications for CCResorts. The sample meets with key performance indicator 1 with over 40% of guests staying the full week. There is sufficient evidence to suggest that over 40% of the total population also stay 7 days at CCResorts. On average, majority of customers do not spend more than $255 per day at the resort. Despite this, there are certain demographics that are more likely to achieve a higher expenditure per day. Firstly, the age of the guest impacted their daily expenditure with customers who were older tending to spend slightly more than their younger counterparts. Furthermore, guests who stayed in large groups had a greater likelihood of fulfilling the second key performance indicator. Customers with an income over $100 000 p.a were more inclined to spend more money in excess of accommodation costs.
introduction
The central focus of this statistical report is to determine the success of CCResorts in achieving their key performance...

...Statistics 1
Business Statistics
LaSaundra H. – Lancaster
BUS 308 Statistics for Managers
Instructor Nicole Rodieck
3/2/2014
Statistics 2
When we hear about business statistics, when think about the decisions that a manager makes to help make his/her business successful. But do we really know what it takes to run a business on a statistical level? While some may think that business statistics is too much work because it entails a detailed decision making process that includes calculations, I feel that without educating yourself on the processes first you wouldn’t know how to imply statistics. This is a tool managers will need in order to run a successful business. In this paper I will review types of statistical elements like: Descriptive, Inferential, hypothesis development and testing and the evaluation of the results. Also I will discuss what I have learned from business statistics.
My description of Descriptive statistics is that they are the numerical elements that make up a data that can refer to an amount of a categorized description of an item such as the percentage that asks the question, “How many or how much does it take to “ and the outcome numerical amount. According to “Dr. Ashram’s Statistics site” “The quantities most commonly used to...

...≤ 0 c. alternative hypothesis should state µ1 − µ2 < 0 d. alternative hypothesis should state µ1 − µ2 > 0 ANSWER: c
2.
A Type I error is committed when a. a true alternative hypothesis is not accepted b. a true null hypothesis is rejected c. the critical value is greater than the value of the test statistic d. sample data contradict the null hypothesis ANSWER: b In determining an interval estimate of a population mean when σ is unknown, we use a t distribution with a. n − 1 degrees of freedom
3.
b. c. d. ANSWER: 4.
n degrees of freedom
n − 1 degrees of freedom n degrees of freedom c
The purpose of statistical inference is to provide information about the a. sample based upon information contained in the population b. population based upon information contained in the sample c. population based upon information contained in the population d. mean of the sample based upon the mean of the population ANSWER: b
FMBA SQA Final Exam
Prof. Kihoon Kim Oct. 10, 2012
2. (10 points) A researcher is interested in estimating the average number of years employees of a company stay with the company. If past information shows a standard deviation of 7 months, what size sample should be taken so that at 95% confidence the margin of error will be 2 months or less? ANSWER: 48
3. (10 points) The average lifetime of a light bulb is 3,000 hours with a standard deviation of 696 hours. A simple random sample of 36 bulbs is taken. Please...

...Rosalie Baker
Music 120 Online #2745
November 30, 2014
On November 20, 2014, I had an opportunity to watch a concert entitled “Autumn Winds” at Colburn School in Downtown Los Angeles. It was part of a monthly concert series “Rush Hour Concerts at Colburn” hosted by Gibson Dunn. Gibson Dunn is a prominent law firm whose active involvement in the community expands to all various arenas of the society through their leadership and services. Rush Hour Concert is held monthly at Thayer Hall in Colburn School located at 200 South Grand Avenue diagonally across from the Walt Disney Concert Hall. Rush Hour Concert encourages the commuters to avoid traffic with this program to unwind after a long days of work with a wine reception at 5:30 pm followed by the concert at 6:00 pm for an hour long enjoyment of delightful music from the top performing arts students of Colburn. This concert series is free admission reservation is required.
“Autumn Winds” included the following composition or pieces played in order:
1. Ricochet - Kerry Turner, 1960
2. Clarinet Sonata in E-flat Major, Op. 167 (1921) - Camille Saint-Saens, 1835-1921
I. Allegretto
3. Rhapsody for Clarinet (ca. 1979) - Giacomo Miluccio
4. Selections from Divertissement for Oboe, Clarinet, and Bassoon (1927) - Erwin Schulhoff, 1894-1942
Charleston: Allegro
Romanzero: Andantino
Rondino-Finale: Molto allegro con Fuoco
5. Suite d’après Corrette for Oboe, Clarinet,...

...Jacob Moss
MUS 1030-022
TED Talk
2-24-15
It is hard to really understand the “what” and “how” of today’s modern music with out stepping back and looking at it from a point of view of society as a whole. The “what” is still the same as in centuries past, which is "simply” the process of understanding the complex world of the human conscience. However, the “how” has recently changed due to instant global connectivity unfortunately making the answer: to do so in the quickest manner possible. Yet, knowing that the “what” has not altered over time then it is safe to say that music is still pursuing the understanding of what it is to be alive. So when you ask the question, “what happens when the music stops?” you are taking on the oldest question in human existence. That question being, what happens when we die? A person who is deceased is no longer a physical aspect of the world but his or her experiences will still live on through the people they have touched. This is a crazy idea considering none of this is at all real in a physical sense. Through this reasoning we can come to the assumption that music is the Rosetta Stone for our mind; taking the impossible to describe and making it tactile and thus able to be acted upon.
I believe the next stage in human existence is the pursuit of communication with our own subconscious. Modern...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times something happens. As I examined on what the statement says, the phrase “number of times something happens” really caught my attention because my subconscious says “here we go again the non-stop solving, analyzing of problems” and I was right. This course of basic statistic has provided me with the analytical skills to crunch numerical data and to make inference from it. At first I thought that I will be alright all along with this subject but it seems that just some part of it maybe it is because I don’t pay much of my attention to it but I have learned many things. I have learned my lesson.
During our every session in this subject before having our midterm examination I really had hard and bad times in coping up with this subject. When we have our very first quiz I thought that I would fail it but it did not happen but after that, my next quizzes I have taken I failed. I was always feeling down when in every quiz I failed because even though I don’t...

...
MBA 501A – [STATISTICS]
ASSIGNMENT 4
INSTRUCTIONS: You are to work independently on this assignment. The total number of points possible is 50. Please note that point allocation varies per question. Use the Help feature in MINITAB 16 to read descriptions for the data sets so that you can make meaningful comments.
[10 pts] 1. Use the data set OPENHOUSE.MTW in the Student14 folder. Perform the Chi
Square test for independence to determine whether style of home and location are are related. Use α = 0.05. Explain your results.
Pearson Chi-Square = 37.159, DF = 3, P-Value = 0.000
Likelihood Ratio Chi-Square = 40.039, DF = 3, P-Value = 0.000
The P value associated with out chi square is 0.00 and the Alpha level is 0.05 so we reject the null hypothesis. The P- value is less than the alpha level. So, we conclude that style of homes and locations are not related.
[10 pts] 2. Use the data set TEMCO.MTW in the Student14 folder. Perform the Chi
Square test for independence to determine whether department and gender are related. Use α = 0.05. Explain your results.
Pearson Chi-Square = 1.005, DF = 3, P-Value = 0.800
Likelihood Ratio Chi-Square = 1.012, DF = 3, P-Value = 0.798
The P-value associated with out chi square is 0.800 and the Alpha level is 0.05 we can see that we are unable to reject the null hypothesis. The P- value is greater than the alpha level. So, we conclude that departments and gender are related..
[30 pts] 3. Use the data set...

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