stats
A company with a large fleet of cars found that the emissions systems of 18 out of the 65 randomly selected cars they tested failed to meet pollution control guidelines. Is this strong evidence that more than 20% of the fleet might be out of compliance? Test the appropriate ... Wednesday, May 11, 2011 at 2:18am by Erica

Applied Statistics
Assignment Guidelines Perform a two-tailed hypothesis test using the steps outlined in the assignment description. In a Word document, create a report that includest the following: Null and alternate statements. Pasted Microsoft Excel data output. Identification of the ... Sunday, October 23, 2011 at 6:05pm by Truth

Statistics
Null hypothesis: Ho: p = .80 -->meaning: population proportion is equal to .80 Alternate hypothesis: Ha: p does not equal .80 -->meaning: population proportion does not equal .80 Using a formula for a binomial proportion one-sample z-test with your data included... Friday, June 4, 2010 at 8:36pm by MathGuru

statistic
The amount of time a bank teller spends with each customer has a population mean of 3.10 minutes and standard deviation of 0.40 minute. If a random sample of 16 customers is selected, a) what assumption must be made in order to solve parts (b) and (c)? b) what is the ... Saturday, April 7, 2012 at 12:06pm by Nancy

Statistic
18. Twenty students randomly assigned to an experimental group receive an instructional program; 30 in a control group do not. After 6 months, both groups are tested on their knowledge. The experimental group has a mean of 38 on the test (with an estimated population standard ... Saturday, February 20, 2010 at 1:32pm by Doris I

sociology
Read this article, and think about what sociologists might study on this. It fits with new definitions of marriage and family. Like it or not, we have to understand how to function as a society with this statistic. http://www.cnn.com/2009/LIVING/wayoflife/04/08/out.of.wedlock.... Saturday, August...

...
QoS Techniques: MPLS
CET 2486C – Network Technologies
Professor:
November 27, 2012
Abstract
MPLS or Multi Protocol Label Switching is a networking technology that functions between layers 2 and 3 of the OSI model. MPLS constitutes of adding a label (sometimes called “Shim” because of their placement between layer 3 and layer 2 headers.) to the data package, this label contains special addressing and sometimes prioritization information. Because the MPLS label contains all the information necessary for the router to forward the package to the next hop, the router does not have to spend time analyzing the entire package thus improving network latency or bottlenecks. Due to its multi protocol capabilities MPLS can be integrated with different networking technologies from ATM to native IP environments; in addition, this multi protocol capability also provides a way to converge different types of traffic such as data, voice and video onto one network. MPLS technology also provides some other advantageous features like Traffic Engineering (TE), VPN, Any Transport over MPLS (AToM) and Quality of Service (QoS). This paper will help provide an understanding of how MPLS works and the QoS capabilities it can provide.
History of MPLS
In 1996 a group from Ipsilon Networks introduced a “flow management protocol”, this technology only worked with ATM transmissions and did not become very popular in the market. Not long after Cisco...

...Elements of a Test of Hypothesis 1. Null Hypothesis (H0 ) - A statement about the values of population parameters which we accept until proven false. 2. Alternative or Research Hypothesis (Ha )- A statement that contradicts the null hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides suﬃcient evidence to establish its truth. 3. TestStatistic - A sample statistic (often a formula) that is used to decide whether to reject H0 . 4. Rejection Region- It consists of all values of the teststatistic for which H0 is rejected. This rejection region is selected in such a way that the probability of rejecting true H0 is equal to α (a small number usually 0.05). The value of α is referred to as the level of signiﬁcance of the test. 5. Assumptions - Statements about the population(s) being sampled. 6. Calculation of the teststatistic and conclusion- Reject H0 if the calculated value of the teststatistic falls in the rejection region. Otherwise, do not reject H0 . 7. P-value or signiﬁcance probability is deﬁned as proportion of samples that would be unfavourable to H0 (assuming H0 is true) if the observed sample is considered unfavourable to H0 . If the p-value is smaller than α, then reject H0 . Remark: 1....

...Saurabh Sunny Baghmar
MNGT: 6361
Problem Statement: To determine if saving from the total monthly income is gender biased.
Hypothesis: H0: Single Women save equal to single men from their total monthly income. (Null Hypothesis)
H0 = µwomen - µmen = 0
Introduction:
The thought behind this problem statement comes from the report which says that there is a huge difference between the number of single women applying for credit cards and men. There are studies done to project the spending/saving habits of men and women. Research shows that women and men have different interest areas where they like spending money [1]. These areas determine how much they spend. Men spend money mostly on eating out, sports ticket, drinking, cars and boys clubs. Whereas women like to spend money on clothes, jewelry, makeup/spa and other accessories. According to [2], the level of debt for men and women is different. Gender was more influential in predicting financial management practices than was affective credit attitude, with female students employing a greater number of financial practices. Research on credit card behavior [3] among college going men and women states that men apply for more than one credit card whereas women’s hold an average of one credit card during their college education. The identification of gender differences may also indicate the...

...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...

...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...

...Practice with p-values
Work through these problems with your computer partner and/or instructor. Answers
follow the problem set.
1. Suppose we’ve done the computation of the Z teststatistic. For each of the following
situations determine the p-value that goes along with Z.
a. Z = 2.12, two-sided test
b. Z = 4.55, two-sided test
c. Z = -1.40, lower-tail test
2. Suppose Z = 1.92.Which has a smaller p-value, the upper-tail test or the two-sided
test? From this, is it more likely to have a result that is significant at the 5% level using-a one-sided test or using a two-sided test?
3. Agricultural researchers at K-State sometimes study how diets affect the weight gain of
animals. Suppose a standard diet gives an average weight gain of 20 lbs., and we would
like to know whether or not a new diet gives a greater average weight gain than this. We
test H0: population mean = 20 versus Ha: population mean > 20.
a. In one study, we have a random sample of 30 animals. The sample mean is 22
and the standard deviation is 10. What is the one-sided p-value for the test and what
is our conclusion?
b. In another study we have a random sample of 100 animals. Again the sample
mean is 22 and the standard deviation is 10. What is the one-sided p-value and what
is our...

...TEST REVIEW – We will work these problems in class. Data Files for these
problems will be disclosed in class during the review. On TEST 3, you will be
asked to perform hypothesistests, find confidence intervals, and conduct
regression analyses. Be prepared to also interpret information on any Excel
print-outs. Test 3 will be a multiple-choice test.
1.
A federal agency responsible for enforcing laws governing weights and measures
n=1
routinely inspects packages to determine whether the weight of the contents is at least as
no population st deviation---- T test
mean ( not proportion)
great as that advertised on the package. A random sample of 18 containers whose
Ho: u=8
H1: u0
F test DA
analysis, the president decided to retain supplier A if there is sufficient statistical
evidence that supplier A’s condensers last longer on average than supplier B’s
condensers. In an experiment, 30 midsize cars were equipped with air conditioners using
type A condensers while another 30 midsize cars were equipped with type B condensers.
The number of miles (in thousands) driven by each car before the condenser broke down
was recorded. Should the president retain supplier A?
13-22
Z-TEST: PROPORTION
3.
A new credit card company is investigating various market segments to determine
whether it is profitable to direct its...

...1. First enter the Real estate data (text book data set 1) into SPSS and then select a sample of size, n = last two digits of your ID and answer the exercises.
I. Select an appropriate class interval and organize the “Selling price” into a frequency distribution.
II. Compute the Mean, Median, Mode, Standard Deviation, Variance, Quartiles, 9th Decile, 10th Percentile and Range of “Selling price” from the raw data of your sample and interpret.
III. Develop a histogram (Using question “1”) for the variable “selling cost”.
IV. Develop a Pie chart and a Bar diagram for the variable “Township”.
V. Develop a Box plot for the variable “Distance”.
What information can you give from these plots?
Note: Comment on all your findings, charts and diagrams.
Answer to the question No.1
I. Selection of an appropriate Class interval
We select a sample size of n = 39 (last two digits of ID: 39)
To determine the number of Classes (k)
2 ≥ n
2≥ 64
So the recommended number of classes is 7.
Selling Price in TK. 000 (Thousand)
N
Valid
39
Missing
0
Minimum
1390.9
Maximum
3450.3
Class interval
So 343.233300
So the class intervals are,
1→1300 ─ 1600
2→1600─1900
3→1900─2200
4→2200─2500
5→2500─2800
6→2800─3100
7→3100─3400
8→3400-3700
From SPSS output, we get the following frequency distribution of selling price of homes sold in Denver, Colorado:
Frequency Distribution of Selling Price of the homes...