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QUESTION 1 In large samples, the sampling distribution of the risk difference is approximately ? a-normal b- Skewed c. t d. F 0.67 points QUESTION 2 Plus-four confidence interval method for a difference in proportions is accurate in samples as small as a. 100 per group b. 50 per group c. 25 per group d. 5 per group 0.67 points QUESTION 3 Which of the following is not a requirement for consideration before continuing with the calculation of a sample size in an observational study observing the difference in incidence of disease X based on exposure? a. Projected drop-out rate to inflate the sample size estimate based on the projected loss to follow-up in a study. b. A predetermined power for the study to detect a difference when one actually exists. c. The correlation coefficient between the two groups being compared. d. The informed estimation of the incidence in both groups being compared. 0.67 points QUESTION 4 Which of the following is not an example of systematic error in an observational study? a. A cross-sectional study recruits participants that are willing to sign up outside of a major university and meet the inclusion and exclusion criteria to take part in the survey relating unsafe sex habits to STIs. b. A researcher is interested in the relationship between coffee drinking and lung cancer, and after careful multivariate linear regression modeling determines that a significant percentage of the relationship is due to another variable, cigarette smoking. c. An observational study recruits participants for a study looking at Alzheimer’s disease due to exposure to industrial hazards by asking participants to recall their exposure over the past 10 years. d. A data-entry specialist responsible for adding in fasting glucose levels to a database accidentally skipped an observation during the input phase of data cleaning. 0.67 points QUESTION 5 Proportions are tested for a significant _____ difference? a. “random” b. “nonrandom” c. “indifferent” d. “noisy” 0.67 points QUESTION 6 What is not a method for testing proportions for significance? a. z test (large sample) b. Fisher’s exact procedure (small samples) c. the chi-square test d. the Wassermann test 0.67 points QUESTION 7 In calculating for tests of proportions for small samples (fewer than 5 successes expected in either group), avoid the z test and use a. the exact Fisher or Mid-P procedure b. the asymptotic procedure c. the random event generator d. the special theory of relativity 0.67 points QUESTION 8 Before conducting Fisher’s test, data are rearranged to form a a. 1-by-2 table b. 2-by-1 table c. 2-by-2 table d. A single row table 0.67 points QUESTION 9 The best way to calculate a p value for a Fisher’s Exact is to a. Use an adding machine b. Use computer program c. Call a statistician d. Use pencil and paper 0.67 poi.
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Calculate sample size according to particular type of research, and purpose.
Identify and select various software to calculate sample size according to particular type of research, and purpose.
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To show to the IRB committee and funding agency that the study has a reasonable chance to obtain a conclusive result
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2. Alternative hypothesis- this is indication of what the experiment expects. It is stated as not all equal, because despite the fact that it is possible to have not all equal variables it is only one of the many chances. For instance, when comparing effect of infectious disease of the colour of urine the alternative hypothesis can state that disease 1 results in tinting of the colour of urine to yellow but disease 2, 3… and normal un-infected persons do not differ in the colour of urine.
3. Set α- this is the level of significance. This is the probability or chance of committing the ‘grievous’ error type one denoted by α
There are two types of errors;
Reality
decision
H0 is correct
H0 in incorrect
Accept H0
OK
Type 2 error which is the β equal to possibility of type 2 error.
H0 rejected
Type 1 error
α=possibility of type 1 error
OK
4. Data collection- it’s important to use valid data collection techniques possibly for this case use observational or experimental methods
5. Stating and calculating the statistics for the study- this are the statistic values tested which include the mean, population, sample proportion and the difference in mean and sample proportions.
mean
61.82
median
61.50
mode
69.50
Mid-range
58
range
41
variance
79.64
Standard deviation
8.3
6. Decide on the test to be used- there are basically two types of tests; one tailed and two tailed. The decision is reached depending on the spread of error; two tailed is used when error spread is on two extremes side while one tailed test is used when error is spread on one side in the distribution.
7. Create accept and reject regions- a critical F value is established, you can establish the study F value from the statistical tables it is also called the Fα. It represent the minimum value for the study test statistics which determine which values should be rejected. With the value of F you locate it in the F distribution which form the location for boundary for acceptance and rejection.
8. Standardize the test statistics to draw a conclusion- using step 5 and 6 you can make some inference on the study, but to make more specific conclusion computation of z-test will help decide on the whether to reject or accept the hypothesis. In such cases p-value lower then α, then null hypothesis H0 is conclusively negated and therefore should accept the alternative hypothesis HA.
In testing a hypothesis using the above eight steps I prefer using critical value.
This method include the coming up with the unlik ...
Symbols can have more than one meaning.1. The battle flag of the c.docx
This document discusses how symbols can have multiple meanings depending on the viewer. It provides two examples: the Confederate flag, which some see as representing rebellion against authority while others associate it with repression, hate, and slavery. Another example is sports team apparel, which could be perceived as representing a gang by some due to similar symbolic meanings of colors. The document suggests that symbols often do not have a single agreed-upon meaning and different people may associate different concepts or ideas with the same symbol.
Sustainable development is an idea that has been talked about global.docx
Sustainable development is an idea that has been talked about globally for years. But there is often multiple definitions of sustainable development. Some people value sustainability more that development and vice versa. The main issue you see is through sustainable developments three main pillars; environmental, economic, and social. It is almost impossible to have one without sacrificing at least a little of the others. There are also many differing views of what should be developed and what should be sustained. Even when these issues are brought into fruition at UN summits developed and developing countries often disagree on these issues. Even though plans have been made at these summits, goals have failed to be turned into action. That is the main issue I see is in order to make these plans work people must be willing to ask for a change and be willing to make the big decisions to change. Despite this, the mistrust between Northern and Southern countries will always make sustainable development a struggle.
________________________________________________
Q: i want a short response about 20 words for the previous paragraph based on globalilzation
.
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This document provides data from a study on steroid usage, grip strength, aggression, and happiness. It includes the following information:
1) A table with data from 14 participants, including the number of weeks on steroids, grip strength, aggression score, happiness score, and investigator number.
2) Descriptions of what each column in the data table represents, such as the scales for grip strength, aggression, and happiness.
3) The sample size is 14 participants.
Hypothesis Testing. Inferential Statistics pt. 2
A hypothesis test is a statistical test that is used to determine whether there is enough evidence in a sample of data to infer that a certain condition is true for the entire population. A hypothesis test examines two opposing hypotheses about a population: the null hypothesis and the alternative hypothesis.
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The document discusses various statistical tests used for hypothesis testing, including parametric and non-parametric tests. It provides information on descriptive statistics, inferential statistics, and the Gaussian distribution. Key tests covered include the z-test, t-test, chi-square test, ANOVA, and their appropriate uses and calculations. Examples are given to illustrate how to apply and interpret each test.
Unit 9b. Sample size estimation.ppt
Sample size Calculation:
Objectives:
Calculate sample size according to particular type of research, and purpose.
Identify and select various software to calculate sample size according to particular type of research, and purpose.
Why to calculate sample size?
To show that under certain conditions, the hypothesis test has a good chance of showing a desired difference (if it exists)
To show to the IRB committee and funding agency that the study has a reasonable chance to obtain a conclusive result
To show that the necessary resources (human, monetary, time) will be minimized and well utilized.
Most Important: sample size calculation is an educated guess
It is more appropriate for studies involving hypothesis testing
There is no magic involved; only statistical and mathematical logic and some algebra
Researchers need to know something about what they are measuring and how it varies in the population of interest.
SAMPLE SIZE:
How many subjects are needed to assure a given probability of detecting a statistically significant effect of a given magnitude if one truly exists?
POWER:
If a limited pool of subjects is available, what is the likelihood of finding a statistically significant effect of a given magnitude if one truly exists?
Before We Can Determine Sample Size We Need To Answer The Following:
1. What is the primary objective of the study?
2. What is the main outcome measure?
Is it a continuous or dichotomous outcome?
3. How will the data be analyzed to detect a group difference?
4. How small a difference is clinically important to detect?
5. How much variability is in our target population?
6. What is the desired and ?
7. What is the anticipated drop out and non-response % ?
Where do we get this knowledge?
Previous published studies
Pilot studies
If information is lacking, there is no good way to calculate the sample size.
Type I error: Rejecting H0 when H0 is true
: The type I error rate.
Type II error: Failing to reject H0 when H0 is false
: The type II error rate
Power (1 - ): Probability of detecting group difference given the size of the effect () and the sample size of the trial (N).
Estimation of Sample Size by Three ways:
By using
(1) Formulae (manual calculations)
(2) Sample size tables or Nomogram
(3) Softwares.
SAMPLE SIZE FOR ADEQUATE PRECISION:
In a descriptive study,
Summary statistics (mean, proportion)
Reliability (or) precision
By giving “confidence interval”
Wider the C.I – sample statistic is not reliable and it may not give an accurate estimate of the true value of the population parameter.
Sample size calculation for cross sectional studies/surveys:
Cross sectional studies or cross sectional survey are done to estimate a population parameter like prevalence of some disease in a community or finding the average value of some quantitative variable in a population.
Sample size formula for qualitative variable and quantities variable are different.
Lund 2009
This document discusses statistical principles for writing scientific manuscripts, including how to describe sampling uncertainty, present results using measures of central tendency and variability, and report findings using confidence intervals and p-values. It emphasizes quantifying and conveying measurement uncertainty and effect sizes rather than relying solely on hypothesis testing. Guidelines are proposed for systematically reporting the design, methods, results and interpretation of laboratory experiments to improve transparency and enable verification.
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Cochrane Review author training workshop, January 22-23, 2009 at the University of Calgary Health Sciences Centre
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- Standard error is used to measure sampling variation and determine confidence intervals around sample statistics to estimate population parameters.
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Part 1 Please circle the correct answer.1. Which of t.docx
Part 1: Please circle the correct answer.
1. Which of the following is most sensitive to outliers?
a. interquartile range b.standard deviation. c. median
d. mode
2. James and George took a math exam. George’s percentile score on the exam was 80; James’s
percentile score was 40 on the same test. We know that
a) George correctly answered twice as many questions than James. b) They both scored better than 40 of their classmates.
c) George correctly answered more questions than James. d) James did not pass the test.
3. Find the mean and standard deviation for a binomial experiment where n 260,
p 0.675 .
a) 260 , b) 260 ,
7.55
57.04
c) 175.50 ,
7.55
d) 97.50 ,
e) 175.50 ,
13.25
9.19
4. If we were to create a box plot, which of the following statement(s) would be true?
A. The median would be located somewhere within the box.
B. The median value would be larger than the third quartile value (Q3) C. The median would always be centered in the middle of the box.
D. The median would indicate where the 50th percentile would be.
a) A and B
b) All of them. c) A and D
d) C and D.
e) None of them.
5. Which of these statements are false?
a. There is a strong linear relationship between gender and height because we found a correlation of .55.
b. Plant height and leaf height were found to be negatively correlated because the correlation coefficient is -1.41.
c. Since the correlation between X and Y is 0, this means there is no relationship whatsoever between these two variables.
d. All of the above.
e. None of the above.
6. Some methods may be used to make a confidence interval wider or narrower. Circle the two
methods that would decrease the width of a confidence interval for a mean, if all else stays the same.
a. Increase the sample size. b. decrease the sample size.
c. increase the level of confidence. d. decrease the level of confidence.
7. Two researchers are going to take a sample of data from the same population of physics students. Researcher A will select a random sample of students from among all students taking physics. Researcher B's sample will consist only of the students in her class. Both researchers will construct a 95% confidence interval for the mean score on the physics final exam using their own sample data. Which researcher's method has a 95% chance of capturing the true mean of the population of all students taking physics?
a. Both methods have a 95% chance of capturing the true mean b. Researcher A
c. Research B
d. Neither
8. A 98% confidence interval indicates that:
a. 98% of the intervals constructed using this process based on samples from this population will include the population mean
b. 98% of the time the interval will include the sample mean
c. 98% of the possible population means will be included by the interval
9. A one-tailed hypothesis test is performed using a 0.10 level of significance. .
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This document appears to be a chapter from a statistics textbook, containing multiple choice questions about key statistical concepts. It covers topics like experimental vs observational studies, accuracy vs precision, variables, sampling, and frequencies. The questions assess understanding of foundational statistical terminology and how statistics are used to make inferences about populations based on sample data.
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This document discusses different study designs used in public health research, including observational and interventional studies. Observational studies include cross-sectional, case-control and cohort studies. Cross-sectional studies collect data at one point in time to measure disease prevalence. Case-control studies compare exposures in cases (people with disease) versus controls (people without disease). Cohort studies follow groups over time to measure disease incidence and identify risk factors. Interventional studies, like randomized controlled trials, are considered the strongest type of evidence as they involve intervention to reduce exposure or compare alternative treatments.
Running head HYPOTHESIS TEST 1HYPOTHESIS TESTING.docx
Running head: HYPOTHESIS TEST 1
HYPOTHESIS TESTING 7
Project Phase 3 – Scenario 2
Author Note
This paper is being submitted on
Explain the 8 Steps in hypothesis testing.
1. State null hypothesis- this is the opposite of the expected results, the importance of stating the null hypothesis is because according to Karl Popper’s principle or Falsifiabilty, it not possible to exclusively confirm a hypothesis but it is possible to conclusively negate a hypothesis.
2. Alternative hypothesis- this is indication of what the experiment expects. It is stated as not all equal, because despite the fact that it is possible to have not all equal variables it is only one of the many chances. For instance, when comparing effect of infectious disease of the colour of urine the alternative hypothesis can state that disease 1 results in tinting of the colour of urine to yellow but disease 2, 3… and normal un-infected persons do not differ in the colour of urine.
3. Set α- this is the level of significance. This is the probability or chance of committing the ‘grievous’ error type one denoted by α
There are two types of errors;
Reality
decision
H0 is correct
H0 in incorrect
Accept H0
OK
Type 2 error which is the β equal to possibility of type 2 error.
H0 rejected
Type 1 error
α=possibility of type 1 error
OK
4. Data collection- it’s important to use valid data collection techniques possibly for this case use observational or experimental methods
5. Stating and calculating the statistics for the study- this are the statistic values tested which include the mean, population, sample proportion and the difference in mean and sample proportions.
mean
61.82
median
61.50
mode
69.50
Mid-range
58
range
41
variance
79.64
Standard deviation
8.3
6. Decide on the test to be used- there are basically two types of tests; one tailed and two tailed. The decision is reached depending on the spread of error; two tailed is used when error spread is on two extremes side while one tailed test is used when error is spread on one side in the distribution.
7. Create accept and reject regions- a critical F value is established, you can establish the study F value from the statistical tables it is also called the Fα. It represent the minimum value for the study test statistics which determine which values should be rejected. With the value of F you locate it in the F distribution which form the location for boundary for acceptance and rejection.
8. Standardize the test statistics to draw a conclusion- using step 5 and 6 you can make some inference on the study, but to make more specific conclusion computation of z-test will help decide on the whether to reject or accept the hypothesis. In such cases p-value lower then α, then null hypothesis H0 is conclusively negated and therefore should accept the alternative hypothesis HA.
In testing a hypothesis using the above eight steps I prefer using critical value.
This method include the coming up with the unlik ...
Similar to QUESTION 1In large samples, the sampling distribution of the ris.docx (20)
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Page 1 of 1 PSY2061 Research Methods Lab © 2013 South Un.docx
Sample Size Estimation and Statistical Test Selection
Sample Size Estimation and Statistical Test Selection
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
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Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Part 1 Please circle the correct answer.1. Which of t.docx
Part 1 Please circle the correct answer.1. Which of t.docx
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________________________________________________
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SWK313 Case Study One:
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Subject Children:
Stephen (aged 8
Mary (aged 4
Parents
Jeanie (b.mo aged 28)
Tom ( b.fa aged (32)
Address:
Remote community (during Wet season)
Outstation (during Dry season)
Case Manager:
Tess
Current situation:
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SOC313 Family Document
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Comprehensively discuss the cultural and/or traditional issues that could arise at this time. Consider how the integration of Complementary and Alternative Medicine and beliefs, mainstream medical practices, and cultural/traditional rituals and practices might create issues and what they might include.
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Son Sam, the alcoholic
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Grandson Josh, starting to have drug problems
Granddaughter Lucy, bipolar with more entrenched drug problems
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Synthesize the current research that is relevant to this scenario. Discuss the current practices for end of life and palliative care from the Western Medicine as well as the Complementary and Alternative Medicine perspectives.
Comprehensively discuss the cultural and/or traditional issues that could arise at this time. Consider how the integration of Complementary and Alternative Medicine and beliefs, mainstream medical practices, and cultural/traditional rituals and practices might create issues and what they might include.
Describe how the family might react to each of the following possible scenarios:
Ella wishes to continue the Complementary and Alternative practices.
Ella is coerced into following mainstream medical advice.
Ella’s husband, John, insists that, as father and husband, his family traditions should be followed.
Examine the biological basis for care and describe how the choices for care might affect the other family members with respect to their individual problems, if at all.
Son Sam, the alcoholic
Daughter Lila, with Type II diabetes
Grandson Josh, starting to have drug problems
Granddaughter Lucy, bipolar with more entrenched drug problems
Daughter-in-law, Sarah’s stress related to her family’s medical issues (son with leukemia and brother with HIV)
Discuss the micro, meso, and macro influences affecting both the patient and the diverse family members in this scenario as impacted by Ella’s medical condition and prognosis.
What are the pertinent and likely family (micro) confl.
Support Need AnalysisUsing the information from the interview you .docx
Support Need Analysis
Using the information from the interview you conducted in
Week 2
, list in descending order the support needs of your participant. Also discuss how to implement objectives of Healthy People 2020 to increase wellness. Give examples of appropriate interventions of the professional caregiver, for example, the nurse.
Submit your findings in a 4- to 5-page Microsoft Word document.
Support your responses with examples.
On a separate references page, cite all sources using APA format.
.
SummaryU.S. Census Bureau signed a $600 million contract with H.docx
Summary:
U.S. Census Bureau signed a $600 million contract with Harris corporation in 2006 to build 500,000 devices, but still wasn’t sure which features they wanted included in the units. Census officials did not specify the testing process to measure the performance of the handheld devices. Four hundred change requests were added to the project requirements. Two years and hundreds of millions of taxpayer dollars later, the handhelds were far too slow and unreliable to be used for the 2010 U.S. census.
-To answer the questions, you may want to consider the following
readings
:
http://harris.com/view_pressrelease.asp?act=lookup&pr_id=1818
http://www.census.gov/2010census/news/releases/operations/census-bureau-awards-600-million-contract-to-support-automation-project.html
http://www.breitbart.com/big-government/2010/06/02/the-census-bureaus-recent-history-of-throwing-billions-of-dollars-down-the-drain/
http://www.mytwocensus.com/tag/harris-corporation/
http://www.zdnet.com/article/billion-dollar-it-failure-at-census-bureau/
https://www.census.gov/2010census/pdf/2010_Census_Evaluation_of_Automation_in_Field_Data_Collection_in_Address_Canvassing_Report.pdf
Based on the
readings
above, please answer the following.
Part I
·
*
What was the situation and how important was the system for the US Census Bureau?
·
*
How does the system impact operational activities and decision making?
·
*
What are the key risk factors of the project?
·
*
Classify and describe the problems faced?
·
*
What management, organizational, and technology factors caused those problems?
·
*
Describe the steps you would have taken to control the risks in this project.
Part II
·
*
What was the relationship between the technology and the end users who would use the technology?
·
*
What was the relationship between the technology and the Census Bureau management?
·
*
What was the lifespan of the technology?
·
*
Theoretically, how was the data that was going to be generated by the system going to be used? Practically, what occurred? Why?
·
*
Given the confidential nature of the census, how could the cloud based technologies pose a risk to privacy?
·
*
Given the advances in
cloud computing
, describe a basic architecture for how such a system could be implemented today.
·
*
How was employee use of the system?
·
*
What could Census Bureau management and the Harris Corporation have done to prevent or change the outcome to be more positive?
read the readings to answer the questions
post any sources or refrences
must be done on time
.
SummaryReflection—Due one week after your assigned day. Discussion .docx
Summary/Reflection—Due one week after your assigned day. Discussion leaders (as a team) must submit a 1-2 page reflection about the process. Reflect on what worked well and what you might do differently in the future. What was challenging? What did you learn? And, finally, what should we as a class take away from the readings/conversation as we move forward?
.
Support or challenge the following statement Regardless of the cir.docx
Support or challenge the following statement: “Regardless of the circumstances that students experience at home, teachers have a responsibility to help them perform at their highest level at school.”
Propose one or two benefits that students would gain from the increased involvement of diverse parent and community groups in schools.
.
Summative Discussion BoardReview and reflect on the knowledge you .docx
Summative Discussion Board
Review and reflect on the knowledge you have gained from this course. Based on your review and reflection, write at least 3 paragraphs on the following:
What were the most compelling topics learned in this course?
How did participating in discussions help your understanding of the subject matter? Is anything still unclear that could be clarified?
What approaches could have yielded additional valuable information?
.
summary about the movie selenaanswering the questionDid sel.docx
summary about the movie selena
answering the question:
Did selena shown in the movie how she is meant to be shown like? as a chicano artist was she shown by the movie that how chicanos are really like? or was she shown in a bad way? to describe how chicanos are like
2 pages answering these questions
.
Summary of both readings togetherSullivan, Francis. The Develop.docx
Summary of both readings together
Sullivan, Francis. "The Development of Doctrine About Infants who Die Unbaptized." Theological Studies 72.1 (2011): 3-14. Print. [available via course shell]
Galvin, John. "Salvation Outside the Church." The Gift of the Church. Ed. P. Phan. Collegeville: Liturgical Press, 2000. 249-266. Print. [available in Many are Called]
mla
400 words
no plagraism
work citited
.
Summarize(1) loanable fund market(2) monetary policy.docx
This document lists 13 key economic concepts: (1) the loanable funds market, (2) monetary policy tools, (3) the quantity equation, (4) Okun's law, (5) the multiplier effect and crowding out effect, (6) automatic stabilizers, (7) risk aversion and risk taking, (8) the Fisher effect, (9) aggregate models, (10) shifts in aggregate demand, (11) the Phillips curve, (12) protectionist policies, and (13) capital inflows and outflows.
Summarize the structurecontent of the text and identify the autho.docx
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Explain how the essay you read might influence your own writing, or how and why you might make different choices in your own writing process during this milestone.
http://www.ft.com/cms/s/2/b00af0ba-5fee-11e0-a718-00144feab49a.html
Dave Grohl and the Foo Fighters,
by Carl Wilkinson
A group of record company executives, sitting down to sketch the perfect rock star, may well come up with someone a little like Dave Grohl. He has the look – long, thick black hair; he has the talent – he plays the drums, guitar and piano, he sings and he writes his own songs; and, above all, he has both pedigree and credibility.
In the early 1990s, as drummer with seminal grunge band Nirvana, Grohl helped change the face of popular music. Today, as lead singer with stadium-filling rock giants Foo Fighters, he is a multi-millionaire who has sold more than 15 million albums worldwide, won six Grammy awards and is president of his own record label. Alongside Foo Fighters he has a number of side projects (including super group Them Crooked Vultures, with Led Zeppelin’s John Paul Jones); a documentary about his band shot by Oscar-winning director James Moll was released last month and his seventh album, Wasting Light, is out on Monday. Now 42, Grohl – and his brand of rock ’n’ roll – has grown up, had kids and settled down.
We meet at Studio 606, the 8,000 sq ft recording space he built in 2005 in the Northridge area of Los Angeles. Outside, the Californian spring sunshine throws stark shadows across some neighborhoods that estate agents would describe euphemistically as “mixed”; from inside this large utilitarian building, with its tinted windows, the blue sky looks almost overcast.
Grohl, who is tall, lean and has grown into his slightly goofy looks, sets down the keys to his decidedly un-rock ’n’ roll grey BMW estate, tucks his shoulder-length hair behind his ear and flips the lid on his laptop. “Sorry,” he beams. “I’ve just got to check my e-mail. I want to see if my daughter got into private school.” Grohl married Jordyn Blum in 2003, and they have two daughters, Violet Maye, aged four, and Harper Willow, one.
The upstairs lounge looks like a bachelor pad: there’s a fridge, jukebox and widescreen TV with an eclectic selection of boxsets: The Office, ACDC and Bon Jovi gigs, and a tape of the Make-up and Effects trade show 1997. Scattered across the purple sofa are cushions covered with old band T-shirts (Slayer, The Police, Black Sabbath, Motorhead, Led Zeppelin) made by Grohl’s mother. “She called up and said ‘David, what do you want me to do with those T-shirts in the attic?’,” says Grohl in a falsetto.
Downstairs, a vast recording studio complete with Persian rugs and a grand piano in the corner leads on to a warehouse filled with carefully labelled guitar cases, drums and assorted equipment. Among the platinum records, framed posters and photographs hanging in the corri.
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