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79 essays for Subject “Statistics Assignment”

Consumer Behavior Statistics

Respondents who are constantly with friends are convinced to watch films suggested to them by friends. In the selling process, according to Lao (2004), there is a great chance that those friends referred by their friends have the same tastes and interests and will also be interested in a product or service being referred to them.

Pages: 10 (2500 words), Assignment

Preview EssayLevel 3 researsh statistics

Even minor impairment seems to have significant effects of steering behaviour as it requires activation of multiple faculties (Drew et al.The mind stores information under different classifications, creating a complex mental structure. When requires, activation of the relevant parts of this structure allow us to use the necessary information. Alcohol inhibits this ability of the brain to access information; and also makes the interpretation of presented information more difficult (Attwood,

Pages: 5 (1250 words), Assignment

Preview EssaySurvey Research and Sampling

This is important in enhancing validity of inferences made and generalization of findings to wider populations. Surveys are also important because they offer convenience in data collection, which could adopt various models such as interviews (face-to-face or telephone) and questionnaires (via mail, e-mail or hand delivery) (Sarah 2012a). This convenience could even allow globalized scale of data collection. Survey approaches are also important and appropriate when numerous variables are

Pages: 4 (1000 words), Assignment

Preview EssayExperimental Designs I

The assumptions that are put into contemplation when carrying out this one-way ANOVA are that:In statistics the problem of multiple comparisons occurs when a person considers a set of statistical inferences simultaneously or infers the selected parameters subsets based on the observed values. However, in multiple comparisons, the use of various procedures for protection against Type 1 errors can be applied. An example of such is the Bonferroni method. The error rate in any experiment is the

Pages: 8 (2000 words), Assignment

Preview EssayStat assigment

In statistics variables can be quantitative and categorical. Selection of quantitative or categorical variables depends on the research type that one intends to carry. Each variable possesses some values; gender variable contains only male and female values while, for example, temperature variable may contain any numerical value. Variables and values together are called data. In statistical research data are classified as quantitative and qualitative. Some research needs quantitative data, and

Pages: 10 (2500 words), Assignment

Preview EssayQuantitative methods

Therefore we reject the null hypothesis which notes that there is no difference between the way people are satisfied in rural and urban areas. On the other hand, the results shows that there is no statistically significant difference on the way people are satisfied on GPS accuracy and emails between rural and urban areas. This is clearly shown by the t calculated value which is less than the t critical value. In this case, we fail to reject the null hypothesis and conclude that there is a

Pages: 10 (2500 words), Assignment

Preview EssayStatistics questions

In this case, it was established that there was a conflicting conclusionarrived by two major polls. The major explanation can be on the wording used on questions to collect the relevant data. The AP-GfK poll provided respondents with three options support, oppose and neither support nor oppose. The other poll provided respondents with only two option, oppose and support. This usually gives different data hence findings. More importantly, the timing is another significant factor. Polls conducted

Pages: 6 (1500 words), Assignment

Preview EssayWrite the paper with other words

I computed the model Forecast by using the coefficient and liner regression equation. Essentially, this was not the real forecast. I just created the past data and used it to fake data of which it manipulation.Calculating the errors that is the difference between sales, the model, the mean of the errors, the squared errors, the mean of the squared errors and from that, the RMSE. After that I calculated the percentage error and used its absolute value using its average and finally computed the

Pages: 4 (1000 words), Assignment

Preview EssayWk3 Assignment

In order to test that the compa values in the population are equal by grade and/or gender, and are independent of each factor the ANOVA has been done using Data Analysis Tool pack of MS Excel 2007. The values are chosen on convenience basis for each category. The summary of outputs thus obtained is mentioned below. The two factor ANOVA has been performed with replication.All three null hypotheses are rejected as the associated P values are found to be less than the significance level of 0. It

Pages: 6 (1500 words), Assignment

Preview EssayStatistical Methods

In this regard, 72 of the respondents were from Smiths Ltd while 70 and 58 of the respondents were from Jones Plc. and Farmhouse respectively. The number of male and female respondents from Smiths Ltd is 36 and 36 respectively. The number of male and female respondents from Jones Plc. is 37 and 33 respectively. On the other hand, the number of male and female respondents from Farmhouse is 23 and 35 respectively. The average weekly wage considering the three companies was 353.9990 with the

Pages: 11 (2750 words), Assignment

Preview EssayWeek 3 Statistics

Assuming that a company is carrying out a research in order to assess the views of their customers regarding the quality of the services they have been offering over the past one year. The initial thing that must be done is the organization of the frame size and to accomplish this task we must scrutinize the company records over the last 12 months. Next we shall draw the sample. Assuming 1000 customers and 100 customers to be the sample, the sampling fraction will be F=n/N=100/1000=0.This is

Pages: 10 (2500 words), Assignment

Preview EssayDescriptive & Inferential Statistics

From 1992 til 2012, there were 738,931 high school students of all races between the ages of 16 and 24 years old. Out of the 738,931 students, 469,016 of them identified as white, 106,216 of them identified as black and 120,321 of them identified as Hispanic; which leaves 43,378 students without any racial identification.From 1992 until 2012, 6.5% of White students dropped out of high school. The median was 6.8% and there was no mode present. The minimum amount of dropouts was in 2012 with

Pages: 4 (1000 words), Assignment

Preview EssayThe impact of Exports and FDI (Foreign Direct investment) on GDP in Qatar (1990- 2013)

The development of this data indicates the different effects that the export factor had on the GDP of Qatar. Understanding the different impacts that the export factors will have on the GDP creates an understanding on the strengths of the exports on the GDP. The different data indicates both positive and negative export percentages. The positive percentages reflect the positive influence the exports had on the GDP while the negative percentage indicate the negative impacts that the export

Pages: 5 (1250 words), Assignment

Preview EssayHow do you use technology to support your learning

These questionnaires were issued to random college/university students who filled them. Some of the universities where the survey was conducted include University of Exeter, Newcastle University, Northumbria, University of Hull, University of York, Bornemouth University and Nottingham Trent University. The questionnaire dealt with different areas of technology relevant to studies including how much it helps them to learn, if it becomes a distraction to learning, how convenient it is to

Pages: 4 (1000 words), Assignment

Preview EssayStatistic Project Module 5 Problem Set

Less than α=0.05) leading to rejection of the null hypothesis and concluding that indeed the regression is significant at 5% significance level.The B coefficient for educ is 0.719; this implies that for any unit change in education level, the dependent variable (total family income) changes by 0. That is to say, if education level increases by one unit then we would expect the total family income to increase by 0.719 and vice versa. Next add the variables born (born in the U. or overseas),

Pages: 7 (1750 words), Assignment

Preview EssayQuantitative Data analysis( degree level)

The Chronic Ailments is a variable generated from collapsing multiple variables to form one variable. This chronic ailments include the heart conditions and the chronic lung diseases. The non-communicable diseases allied to heart condition include hypertension, angina, diabetes, stroke and heart ailments including heart attack, congestive heart failure, heart murmur, abnormal heart rhythm and other conditions. The chronic lung diseases include emphysema, asthma, arthritis, osteoporosis, cancer,

Pages: 12 (3000 words), Assignment

Preview EssayQuantitative Technics of business

Where the term, is the covariance term and the term which is the joint variation of the variables taken from their respective means, the term is the standard deviation of x and the term is the standard deviation of y. The range of Karl Pearson’s correlation coefficient is from -1 to +1. If the correlation coefficient is nearing to -1, it denotes a strong negative relation between the two variables x and y (if one increases the other decreases and vice versa), and on the other hand, if the

Pages: 10 (2500 words), Assignment

Preview EssayCase Study Computers R Us

A sampling frame includes the actual list of individuals included in the population (Nesbary, 2000). Of the 500 customers that were sent surveys, 420 responded. The response rate was computed as follows;Structured questionnaire constructed in English language was used to collect data with a total of eight items six of which touched on customer satisfaction. The questionnaire consisted of four sections:Five ethical concerns as outlined by Crowhurst and Dobson (1993) were considered when

Pages: 8 (2000 words), Assignment

Preview EssayFinal Stat

From the standard normal tables the ordinate corresponding to z1 is 0.Work: If x follows normal distribution with mean μ and variance σ2, the xbar follows mean μ and variance σ2/n. Here n=100, σ =10 σ2=100and the standard deviation of sample mean is given by SE(xbar)= σ/n=2/100=2/10=0.(c) There is no sufficient evidence to reject the null hypothesis at the level of significance even at 1% level since the probability of significance is 0.184 which is greater than 0.01 and also 0.

Pages: 9 (2250 words), Assignment

Preview EssayStructural Equation Modelling and Logistic regression

The three variables used several questions for each, which were then aggregated to find each individual’s average rating of each variable. That is, the variable usefulness was obtained by averaging the ratings given per individual across the four questions underlying the variable; the four responses denoting ease of use were averaged to obtain the variable; and the ratings to the five questions underlying trust in the cashless payment system were averaged to obtain the variable.Demographic

Pages: 16 (4000 words), Assignment

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