1.Question :Employees of a local university have been classified according to gender and job type.
If an employee is selected at random what is the probability that the employee is male?

Answer: .667

2.Question :Employees of a local university have been classified according to gender and job type.
If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff?

Answer: .625

3.Question :Joe is considering pursuing an MBA degree. He has applied to two different universities. The acceptance rate for applicants with similar qualifications is 25% for University A and 40% for University B. What is the probability that Joe will not be accepted at either university?

Answer:0.45

Instructor Explanation:(.75)(.60) = 0.45

4.Question :In a report on high school graduation, it was stated that 85% of high school students graduate. Suppose 3 high school students are randomly selected from different schools. What is the probability that all graduate?

Answer: 0.614

Instructor Explanation:(.85) (.85) (.85) = 0.614

5.Question :A pharmaceutical company has determined that if a new cholesterol-reducing drug is manufactured (introduced to the market), the following probability distribution will describe this drug's contribution to the company's profits during the next six months.

The company management has decided to market this product if the expected contribution to profit for the next six months is more than $90,000. Based on the information given above, should the company begin manufacturing the new drug?

...Bureau of Investigation, Office Research and Statistics, Social Security Administration, The Commerce Department and other government sources. The variables analyzed are as follows:
CRIMES - Property crime rate per hundred thousand inhabitants (includes burglary, larceny, theft, and motor vehicle theft) calculated as number of property crimes committed divided by total population/100.
PINCOME - Per capita income for each state,
DROPOUT - High school dropout rate (%, 1987)
PRECIP - Average precipitation (in inches) in the major city in each state over 1951 – 1980.
PUBAID - Percentage of public aid recipients (1987)
DENSITY - Population/total square miles.
KIDS - Public aid for families with children (dollars per family)
UNEMPLOY - Percentage of unemployed workers
URBAN - Percentage of the residents living in urban areas.
III. Descriptive Statistics
The sample mean property crime rate is 4,559 per hundred thousand inhabitants, with a standard deviation of 1,232. This shows quite a wide variation in the crime rates recorded across the 50 states of the US. The minimum crime rate in a state is 2,107 and the maximum 5,713 per hundred thousand inhabitants.
The measures of central tendency and variation for the independent variables are as displayed in Fig. 1 above. The shape of the histogram of crime rates across the United States appear to follow a right-tailed bell shape as Fig. 2 shows.
Fig. 1 Descriptive...

...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 like this...

...First chart up is the variable location. Three categories are listed in the charts.
Frequency Distribution:
Location Frequency
Urban 21
Suburban 15
Rural 14
As the Pie Chart above shows the majority of the customers comes from the rual areas totaling 42%
The Second will be the size chart. This will measure tendency, variation, mean, median and mode.
Descriptive Statistics:
Size
Mean 3.42
Standard Error 0.24593014
Median 3
Mode 2
Standard Deviation 1.73898868
Sample Variance 3.02408163
Kurtosis -0.7228086
Skewness 0.52789598
Range 6
Minimum 1
Maximum 7
Sum 171
Count 50
Frequency Distribution:
Size Frequency
1 5
2 15
3 8
4 9
5 5
6 5
7 3
The mean household size of the customers is given as 3.42. The median of the data is 3 and the mode is 2. The standard deviation is given approximately as 1.74. Maximum number of customers has a household size of 2 as is evident from the frequency distribution and the bar graph.
The Third chart is over credit Balance.
Descriptive Statistics:
Credit Balance($)
Mean 3964.06
Standard Error 132.0159991
Median 4090
Mode 3890
Standard Deviation 933.4940816
Sample Variance 871411.2004
Kurtosis -0.741830067
Skewness -0.129506489
Range 3814
Minimum 1864
Maximum 5678
Sum 198203
Count 50
Relative Frequency Distribution:
Credit Balance ($) Frequency Relative Frequency
1500 - 2000 1 0.02
2000 - 2500 2 0.04
2500 - 3000 6 0.12
3000 - 3500 6 0.12...

...Gm533 Final Paper
Executive Summary
An analysis was performed for Quick Stab Collection Agency. This agency specializes on relatively small accounts and avoids risky collections such as debtor that tends to be chronically late with payments or is known to be hostile. The collection business can be very profitable. Quick Stab Collection Agency has been known to purchase small accounts for $10.00 to collect a debt of $60.00.
The profitable of this agency depend critically on the numbers of days to collect the debt, the size of the bill and the discount rate offer. QSCA has asked us to find a relationship between the size of the bill and the days collected if any. In this data set there’s variable DAYS is the number to collect the payment, and also the BILL would be the amount of the overdue bills. The data will define that the TYPE=1 for residential accounts and the 0 for commercial accounts. A 95% confidence level was chosen.
Introduction
The strategy for QSCA Company it depends on how fast they can collect the debt and the amount of money received above what they paid for the account of course their intend is to get all of the amount but they realize that that may not those offering discounts in order to get payment. We will randomly select accounts from January to June that have been designated has overdue in the data set and try to establish a relationship between the size of the bill and the numbers of days to collect. In order to give...

...techniques.
Firstly we look at data analysis. This approach starts with data that are manipulated or processed
into information that is valuable to decision making. The processing and manipulation of raw
data into meaningful information are the heart of data analysis. Data analysis includes data
description, data inference, the search for relationships in data and dealing with uncertainty
which in turn includes measuring uncertainty and modelling uncertainty explicitly.
In addition to data analysis, other decision making techniques are discussed. These techniques
include decision analysis, project scheduling and network models.
Chapter 1 illustrates a number of ways to summarise the information in data sets, also known as
descriptive statistics. It includes graphical and tabular summaries, as well as summary measures
such as means, medians and standard deviations.
Uncertainty is a key aspect of most business problems. To deal with uncertainty, we need a basic
understanding of probability. Chapter 2 covers basic rules of probability and in Chapter 3 we
discuss the important concept of probability distributions in some generality.
In Chapter 4 we discuss statistical inference (estimation), where the basic problem is to estimate
one or more characteristics of a population. Since it is too expensive to obtain the population
information, we instead select a sample from the population and then use the information in the
sample to infer the...

...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...

...compliments the regular mathematics and therefore both are tested in primary schools. Mathematics is the written application of operation. It teaches students to think clearly, reason well and strategize effectively. Mental Mathematics is the ability to utilise mathematical skills to solve problems mentally. The marks scored by pupils generate statistics which are used by teachers to analyse a student’s performance and development of theories to explain the differences in performance.
The Standard 3 class is where the transition from junior to senior level occurs where teachers expect the transference of concrete to abstract thinking would have occurred.
A common theory by many primary school teachers is ‘Students perform better in Mathematics than Mental math. Mental math is something that has to be developed and involves critical thinking. Mental math requires quick thinking and the student must solve the problem in their minds whereas in regular mathematics, the problem can be solved visually. Therefore, teachers should take these factors into consideration while testing and marking students in these areas.’
In this study, the statistics of 30 students of a standard 3 class of San Fernando Boys’ Government School will be analysed to determine the truth of this theory.
DATA COLLECTION METHODS
Mathematics and mental mathematics marks of term 1 of the class of 2013 were obtained from a Standard 3 teacher of San Fernando Boys’...

...called for each to invest $100 million in a South Korean-based 50/50 joint venture, Daewoo Motor Company, that would manufacture a subcompact car, the Pontiac LeMans, based on GM's popular German-designed Opel-Kadett (Opel is a wholly owned German subsidiary of GM). Much of the day-to-day management of the alliance was to be placed in the hands of Daewoo executives, with managerial and technical advice being provided by a limited number of GM executives. At the time, many hailed the alliance as a smart move for both companies. GM doubted that a small car could be built profitably in the United States because of high labor costs, and it saw enormous advantages in this marriage of German technology and South Korean cheap labor. At the time, Roger Smith, GM's chairman, told Korean reporters that GM's North American operation would probably end up importing 80,000 to 1,00,000 cars a year from Daewoo Motors. As for the Daewoo Group, it was getting access to the superior engineering skills of GM and an entree into the world's largest car market—the United States.
Eight years of financial losses later the joint venture collapsed in a blizzard of mutual recriminations between Daewoo and General Motors. From the perspective of GM, things started to go seriously wrong irTl-987, just as the first LeMans was rolling off Daewoo's production line. South Korea had lurched toward democracy, and workers...