a) The Ludlow Wildcats baseball team, a minor league team in the Cleveland Indians organization, plays 70 percent of their games at night and 30 percent during the day. The team wins 50 percent of their night games and 90 percent of their day games. According to today's newspaper, they won yesterday. What is the probability the game was played at night?

% of games played at night = 70%
% of games played during day = 30%
% of night games won =50%
% of day games won= 90%

Probability of winning
= Probability of winning at night + Probability of winning during day = % of games played at night x % of night games won + % of games played during day x % of day games won = 70% x 50% + 30% x 90%

= 0.35 + 0.27 = 0.62

Probability that the game was played during night given that the game was won = Probability of winning at night / Probability of winning = 0.35 / 0.62 = 35/62
Answer: Probability = 35/62

This can be understood in a different way
Let the number of games played be 100
Out of these 100 games, 70 games were played at night and 30 during day Out of 70 games played at night no of games won = 50% x 70 = 35 games and the number of games lost = 50% x 70 =35 Out of 30 games played during day, no of games won = 90% x 30 = 27 games and the number of games lost = 10% x 30 = 3 Thus total games won = 35 + 27 = 62

(Total games lost = 35 + 3 =38, but this is not required for calculation)

Thus out of 62 games won , 35 were won at night
Thus probability that the game was played at night, given that the game was won = 35/62

b) With each purchase of a large pizza at Tony's Pizza, the customer receives a coupon that can be scratched to see if a prize will be awarded. The odds of winning a free soft drink are 1 in 10, and the odds of winning a free large pizza are 1 in 50. You plan to eat lunch tomorrow at Tony's. What is the probability: 1. That you will win either a large...

...Week Four Team Paper
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QNT/561
August 1, 2012
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Week 4 Team Paper
Best Buy is a company that has 40 years of history with a very accomplished sense of success. In 1966 Best Buy was a small electronics store in that originated in St. Paul Minnesota by Richard Schulze and an acquainted business partner. Considering that technology changes so rapidly, Best Buy has had to transform from just being the little electronics store down the way into a competitive, customer-driven, talent-powered company that emphasizes on pleasing the customers as it pertains to the life of technology. In 1993 Best Buy was recognized as the nation’s second largest electronics retailer and was recognized by Forbes in 2004 as the “Company of the Year.” However, in 2012 Best Buy had a huge layoff which resulted into 50 store closings. The competitors for Best buy include online stores like Amazon, Buy.com, Tiger direct and various others.
Purpose
Best Buy stores are located throughout the United States and every year additional employees are hired to help staff during the holiday season (known as seasonal staffing and typically runs during holiday season). Higher head count is inefficient and expensive. This poses an organizational dilemma; can sales data be used to identify the appropriate number of temporary employees that need to be hired during the holiday season?...

...Chapter 8
Exercise 21
What is sampling error?
It is the difference between the sample mean and the population mean
Could the value of the sampling error be zero?
Yes it is possible to have a zero sampling error. However, it is very low probability that this could happen.
If it were zero, what would this mean?
This means that the population is uniform and the sample mean and the population mean are equal.
Exercise 22
List the reasons for sampling. Give an example of each reason for sampling.
1. Contacting whole population is time consuming. If the population is California residents, it will take a long time to send everyone a survey and then process the results.
2. Contacting whole population is costly. Same example of California residents, it will be very costly to send by mail a survey to all residents and then process millions of responses.
3. Checking all population is physically impossible. If the population is infinite like the water at California shores, its is impossible to check the bacteria levels for all the water on California shores.
4. Some tests are destructive to the population. Like testing for an epidemic of e-coli bacteria in lettuce, we can’t take every lettuce produced in a farm and damage it while testing for the bacteria. The whole crop will be damaged.
5. Sample results are adequate. Valid and reliable samples provide adequate results that are very close to the population results. For example, checking the...

...
HYPERLINK "http://www.finalexamanswer.com/QNT-561-Final-Exam_p_61.html" DOWNLOAD ANSWERS
QNT561 Final Exam
1) Which of the following measures of central location is affected most by extreme values? A. MeanB. MedianC. Mode D. Geometric mean
2) A correlation matrix…A.Shows all simple coefficients of correlation between variablesB. shows only correlations that are zeroC. shoes the correlations that are positiveD. shows only the correlations that are statistically significant
3) In a set of observations, which measure of central tendency reports the value that occurs most often? A. Mean B. MedianC. ModeD. Geometric mean
4) Which level of measurement is required for the median? A. Nominal B. OrdinalC. IntervalD. Ratio
5) The mean and the variance are equal in…A. the normal distributionB. the binomial distributionC. the Poisson distributionD. the hypergeometric distribution
6) The difference between the sample mean and the population mean is called the…A. margin of errorB. population standard deviationC. standard error of the meanD. sampling error
7) A dummy variable or indicator variable… A. may assume only a value of 0 or 1B. is another term for the dependent variableC. is a quantitative variableD. is a variable at a ratio or interval level of measurement
8) A Type I error is…A. the correct decisionB. a value determined from the test statisticC. rejecting the null hypothesis when it is trueD....

...Individual Assignment:
Week 4
QNT561
November 1, 2010
Lee Chang
Question 5
In the following situations, decide whether you would use a personal interview, telephone survey, or self-administered questionnaire. Give your reasons.
a) A survey of the residents of a new subdivision on why they happened to select that area in which to live. You also wish to secure some information about what they like and do not like about life in the subdivision.
In this situation I would use a personal interview to acquire the desired information. Many subdivisions have an interview process before with the association to fit the required profile of the neighborhood and some of the information can be obtained at the initial interview. After some time passes a follow up interview can be conducted to acquire the rest of the information. In addition minimal staff is needed to conduct the surveys and get the information which means a lower cost. This will also lead to good cooperation from the new residents of the sub-division.
b.) A poll of students at Metro University on their preferences among three candidates who are running for president of the student government.
For this situation I would choose a personal interview. On many campuses these types of surveys are administered by a volunteer student group. The use of the groups means less overhead costs making the personal interviews favorable and able to endure for...

...QNT/561: Week One Assignment
Exercises 80, 82, and 87 (Ch. 3)
Exercise 80*
a. The times are a population because we are considering the wait times for all of the customers seated on Saturday night.
b. To find the mean:
µ = ∑ X
N
µ = 1021
25
µ = 40.84
To find the median:
The midpoint value of the population is 39.
c. To find the range:
Range = Largest Value – Smallest Value
Range = 67 – 23
Range = 44
To find the standard deviation:
σ = √∑ (X - µ)2
N
σ = √∑(X – 40.84) 2 = √5291.36 = √211.65 = 14.55
25 25
Exercise 82*
a. To find the mean cost:
X = ∑fM = 7,060 = $141.20
N 50
b. To find the standard deviation:
s = √∑f (M - X)2 = √33,728 = √688.33 = 26.24
n – 1 50 - 1
c. To find the proportion of costs within two standard deviations of the mean:
X ± 2s
141.2 + 2(26.24) = 193.68
141.2 - 2(26.24) = 88.72
The electricity costs are all almost all within $89 to $194.
Exercise 87*
a. Select the variable selling price.
1. Mean = 221.1029
Median = 213.6
Standard Deviation = 47.1054
2. The mean selling price for a home in the Denver, CO area is about $221,103 while the median price is a bit lower at $213,600. With the standard deviation being high at $47,105, the range of home prices is quite big.
b. Select the variable referring to the area of the home...

...pack of QNT561Week1 Individual Assignment shows the solutions to the following problems:
Problem 80
Problem 82
Problem 87
Part II
Problem 34
Problem 36
Problem 38
Problem 45
Problem 62
Problem 42
Problem 45
Deadline: ( ), Mathematics - Statistics
does any have all the mathlabs for week two. All versions I should state.
Be careful with your laptop when at school. Even college campuses are not immune to theft, and you probably don't have the money to replace your computer if it is stolen. Always lock your dorm room and keep your computer in sight when you are in the library. Don't take any chances.
This pack of QNT561Week1 Individual Assignment shows the solutions to the following problems:
Problem 80
Problem 82
Problem 87
Part II
Problem 34
Problem 36
Problem 38
Problem 45
Problem 62
Problem 42
Problem 45
Deadline: ( ), Mathematics - Statistics
does any have all the mathlabs for week two. All versions I...

...
Name
Assignment
QNT/561
Date
Descriptive Statistics
Sales (in USD)
The distribution is normally distributed.
Central Tendency:
Mean = 42.84 dollars.
Dispersion:
Standard deviation = 9.073 dollars.
Count:
100
Min/Max:
Min is $23.00; Max is $64.00
Confidence Interval (alpha = 0.05):
$41.06 to $44.62
The histogram is present in Appendix A; the descriptive statistics are present in Appendix B.
Age
The distribution is not normally distributed.
Central Tendency:
Median = 35 years
Dispersion:
Interquartile Range = 12 years / 2 = ± 6 years
Count:
100
Min/Max:
Min is 25 years; Max is 45 years
Confidence Interval:
The data is not normally distributed, therefore there is no confidence interval
The histogram is present in Appendix A; the descriptive statistics are present in Appendix B; the scatterplot relating age and sales is in Appendix C.
ID On Display
Thirty-four percent of the people sampled did not have their ID on display while sixty-six percent of people sampled had their ID on display. The bar chart is in Appendix E.
Descriptive Statistics Interpretation
Sales
One hundred people were randomly selected, and their sales were measured. Their sales were observed between $23.00 and $64.00. The average sales were $42.84, with a standard deviation of $9.07. Approximately half or more of the data values are above $42.84. There is enough evidence to say that the population sales amount lies between $41.06 and $44.62 with...

...
Statistics in Business
QNT/351
Statistics in business
The purpose of this essay is to examine the purpose of statistics in business. Our text, Lind (2011) defines statistics as “The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions” (p.5).
Types and levels of statistics
There are two major types of statistics, descriptive and inferential. Descriptive statistics is defined by Lind (2011) as “methods of organizing, summarizing, and presenting data in an informative way” (p.6). An example of descriptive statistics would be a high school report showing that it had 300 graduates in 1990 and 450 graduates on 1991. The information that they provided described the amount of graduates that they had for each year. Inferential statistics is defined by Lind (2011) as “the methods used to estimate a property of a population on the basis of a sample” (p.7). If the same high school sent out a report showing the graduate numbers for 1999- the present to estimate the number of graduates that they would have for this school year, those statistics would be inferential because they are used to estimate future outcomes.
There are four levels of statistical data: nominal, ordinal, interval and ratio. The nominal level deals with qualitative variables such as colors and blood types that can only be counted and classified. Ordinal data measurement is a variable rating system that ranks data according to...