Nobody downloaded yet

Statistical Analysis of the Missing Values - Assignment Example

Comments (0) Cite this document
This research will begin with the statement that unless one employs a systematic way of managing missing data, the missing values bias statistical analysis because they are treated as zero. Two ways of isolating the missing data items are by visual inspection and employing a series of sorts…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER96.9% of users find it useful
Statistical Analysis of the Missing Values
Read TextPreview

Extract of sample "Statistical Analysis of the Missing Values"

Download file to see previous pages This research is being carried out to evaluate and present the two cases that are defined as outliers because visual inspection reveals that they are several multiples of the standard deviation removed from the base pay range that accounts for 99.5% of all cases. It is highly probable that cases 158 and 379 are managers only because their base pay are more than twice the highest base pay levels of everybody else. Otherwise, there is no telling from their age or educational qualifications. One therefore runs the variant of the two-sample t-test with unequal variances assumed. The result (overleaf) shows, first of all, that the variances for gender and basic wage are truly worlds apart. This stands to reason, given the respective ranges of the two variables. Secondly, the output reveals a computed t value of 67.51 which is so high that the associated p statistic is microscopic: 0.21 with 219 leading zeroes. At 399 degrees of freedom, t = -67.51, p < 0.001. Going by the outcome of the t-test reported in item #5 above, we can reject the null hypothesis that there is no difference in basic pay by sex. The computed difference in item 6 is statistically significant. The output overleaf shows that the calculated F value is associated with a very low significance statistic, p < 0.05. This means we can safely assume that the variances for the two variables are not equal. Recognizing at this point that the Excel “Data Analysis” setup for the F test returns erroneous output, we change the way the variable ranges are defined and obtain a different result this time. The F statistic is now just 1.21 and the associated significance statistic is p > 0.05. This leads us to assume that the variance of bonuses across gender is equal. Accessing the two-sample t-test with equal variances assumed, one finds that the calculated t statistic is 0.99, for which the one-tailed p-value is p=0.16. ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Statistical Analysis of the Missing Values Assignment”, n.d.)
Statistical Analysis of the Missing Values Assignment. Retrieved from
(Statistical Analysis of the Missing Values Assignment)
Statistical Analysis of the Missing Values Assignment.
“Statistical Analysis of the Missing Values Assignment”, n.d.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document

CHECK THESE SAMPLES OF Statistical Analysis of the Missing Values

Statistical Analysis

...Analysis Before proceeding to the test of hypotheses, the descriptive statistics along with the mean, SD, SE are present in the following table. Table 1: Table showing the Descriptive Statistics for each group Variable N Mean SD SE 95% Confidence Interval for Mean Min. Max. Lower Bound Upper Bound Control 10 17.80 1.687 .533 16.59 19.01 15 21 Film 10 24.80 1.874 .593 23.46 26.14 22 28 Modelling 10 21.00 1.700 .537 19.78 22.22 19 24 Desensitisation 10 27.10 3.107 .983 24.88 29.32 22 32 Total 40 22.68 4.166 .659 21.34 24.01 15 32 From the above table (table 1) it is observed that control group has the least snake approach response with mean 17.8 whereas the desensitization group possesses...
8 Pages(2000 words)Essay

Quantative Methods (Statistical Analysis)

...?Question A SPC or Statistical Process Control which was developed by Walter A. Shewhart in the early part of the 20th century; is a set of statistical techniques that help an organization to ensure that it’s processes are operating to their maximum potential capacity. It is used to verify that the end product or service is within the requisite norms, and helps identify outlier situations and excessive wastage. It helps in identifying units that need to be rejected. The variation that is detected by the SPC can be of different types. The Common Cause Variations are those instances that are affected by naturally occurring situations and the attributes of the products or raw materials themselves. The...
8 Pages(2000 words)Assignment

Statistical Analysis

...? The type of statistical analysis to use in analyzing of data depends on the sample size, the research design used and also the sampling protocol adopted. In analysis of your data from the three researches, both descriptive and inferential statistics will be useful. Descriptive statistics should be used before inferential statistics. The data will be summarized through calculation of measures of central tendency such as mean and median. Range and standard deviation as measures of dispersion/ variation will also be calculated. The data will also be tested for normality and organized into tables or in spreadsheets so as to identify the...
3 Pages(750 words)Article

Statistical Analysis

...?Statistical Analysis Statistical Analysis Article One The article “The Evolutional View of the Types of Identity Thefts and Online Frauds in the Era of the Internet” was research conducted by Wilson Huang and Shun-Yung Kevin Wang (Wang, and Huang, 2011). According to Wang and Huang, since the early 1990s, the internet services have been perceived to be a unique medium that diffused human history as a very high speed. However, Wang, and Huang noted that, currently very few people who are enjoying the benefits of the internet services, rather, the internet as turned to be harmful especially with the introduction of the technology era (Wang, and Huang, 2011). Nonetheless,...
6 Pages(1500 words)Assignment

Statistical Analysis Research Paper

...the value of the test statistic i.e. 2 = (OF-EF) 2 / EF In this case 2 turns out be 1.07 Step 7: compare the value of 2 that of 2a. Since 2 does falls in the critical value (rejected area), will not reject null hypothesis. Step 8: write the conclusion At the significance level of 5%, it is proved from the data given the table that there is no association between Non-American students and the disciplines. B. Define "causation" in statistical analysis. Describe at least two factors that influence relationships between two variables and can lead to misinterpretation of data analysis. Causation tells the...
4 Pages(1000 words)Research Paper

Information technology statistical analysis

...Running Head: STATISTICAL ANALYSIS Statistical Analysis [The [The of the Statistical Analysis A perfectjob needs to have no element that may become a pain at work. Undoubtedly the first such element that clicks to one's mind is "The Boss". Adding to this living pain is "The Routine" - be it in doing the same work everyday, watching the same people everyday, coming to the same place everyday, or working in the same environment everyday. Sample: The present sample of 288 respondents were between the ages of under 21 to over 50 years, were working in Human Resources, Information Technology and Administration departments. Data Source by...
3 Pages(750 words)Essay

B&Q Consumer Perceptions and Values: Statistical Analysis

...B & Q Consumer Perceptions and Values: History, Literature and Statistical Analysis 28 May 2006 [Insert {Insert [Insert 1.0 History and Introduction 4 Introduction to DIY 4 Competitors 6 UK DIY Market 6 B & Q 8 Research Questions 10 Practice and Theory 11 2.0 Literature Review 12 2.1 Perception of Quality of Service 12 Quality of Service 14 Quality of Service (SERVQUAL) 17 Brand Perception and Equity 19 Customer Loyalty 21 Brand Perception and Quality of Service 22 Quality Perception and Consumer Loyalty 26 Brand Perception and Customer Loyalty 27 Perceptions: Quality of Service, Brand, and Loyalty 28 Conclusion 29 3.0 Research Methodology 29 3.1...
54 Pages(13500 words)Dissertation

Spss statistical analysis

...StatisticStatistic Std. Error Statistic Std. Error HeartRate 44 33.00 52.00 85.00 70.9773 1.24039 8.22783 67.697 -.495 .357 -.200 .702 Figure 3Descriptive statistics of the heart rate data points. Central tendency of this dataset can be determined by the mean value 71.0 with the standard deviation of 8.2. The distribution is slightly negatively skewed with the skewness of -0.50 Exercise 2 Part a Independent variables have the following scales: SBP ­– ratio scale BF – interval scale GS – interval scale The measurement is done twice for two independent groups. To avoid type I error the normality analysis and homogeneity of variance is...
10 Pages(2500 words)Term Paper


...Statistical Analysis for Albany School District ALBANY SCHOOL DISTRICT-teacher qualifications was had it 2012 compared to 2010 records because of a varied range of conflicting needs and interests in the region’s politics and perceptions of the state’s wide education lobby. However, most of the district schools have declared victories in the overall turnover rates with a difference of 4% in the data taken in 2011 and 2009. “The applied advocacy achieved its mandate,” Easton Billy of the Alliance for Quality Education confirmed, even as other members of teachers union and backup groups refused to acknowledge the growth in teacher turnover rates. The perception that the good teacher turnover rate gives is...
3 Pages(750 words)Assignment

Statistical analysis

...Statistical analysis December 4, Statistical analysis Adams, Chien, and Sheryl used logistic regression in their study that investigated breast cancer treatment between two categories of women and the statistic is applicable to the level of measurement that is ordinal. Logistic regression establishes odds ratio between binary categories that the researchers identifies clearly. Ordinal measurement scale, discrete nature of the variables, and the motive of investigating odds ratio of treatment, retrogressively, identifies suitability of the statistic for the variables (Muth, 2009). Inferred assumption of mutual independence between...
1 Pages(250 words)Essay
sponsored ads
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.

Let us find you another Assignment on topic Statistical Analysis of the Missing Values for FREE!

Contact Us