collects sample data from 2001 households across the United States to evaluate the attributes of the participants. The total number of 50 variables are used to identify the data attributes, however, three discrete variables and three continuous variables are selected to evaluate the relationships. The selected discrete variables are Number of Children, Number of cars and Mail Buyer. However, the selected continuous variables are Athletic Dimension, Length of residence, and Wealth Rating. The data analysis is carried out using the descriptive statistics to summarize the data in a manageable form using the Mean, mode and median to compare the discrete and continuous variables. The results of the analysis reveal that all the data of the discrete variables are complete, however, the data of the variables Lengthofresidence and Athleticdimension are missing affecting the validity of the data. The bar graph is also used to provide the visual presentation of the….

Statistical Analysis of the Sample Data
Identification of Discreet Variables and Continuous Variables

A discrete variable is obtained by counting, and the continuous variable is obtained by measuring. The study selects the following discreet variables for the analysis:

• Number of cars

• Number of Children

• Mail Buyer

The study also selects the following continuous variables for the analysis:

• Length of residence

• Athletic Dimension

• Wealth Rating.

Numerical Distribution of Discreet and Continuous Variable

The study uses the frequency distribution to compare the selected discreet and continuous variables using the central tendency tools and graph. As being revealed in the frequency table below, THE variables Lengthofresidence and Athleticdimension do not have the mean values showing the limitation of the data.

Frequencies

Comparison of Discreet and Continuous Variables

MailBuyer

LengthOfResidence

AthleticDimension

WealthRating

N

Valid

2000

2000

2000

2000

Missing

0

0

0

0

Mean

1,03

0,59

1,25

7,39

Median

1

0

1

8

Mode

1

0

2

9

The bar graph of all the six variables are presented below

Bar Graph

T-Test

The section presents the T-Test for the discreet and continuous variables. The p-value of the sample four populations is 0 revealing that the….

Flight Data ecorder
From a system viewpoint, prevention is a great deal less expensive than accidents. Two Boeing 737 accidents remain entirely unexplained at this time (Colorado Springs, 1992; Pittsburgh, 1994). Both airplanes had older digital flight data recorders that did not record control surface positions; that information might very well have led to an unambiguous finding of probable cause. In sharp contrast, the Aerospatiale AT-72 that crashed after extended flight in icing conditions ( oselawn, Indiana, 1994), was equipped with a modern digital flight data recorder whose data enabled investigators to discover, literally within days of the accident, that icing had disturbed airflow over the ailerons beyond the pilots' ability to maintain control. It has been suggested that a substantial fleet could have been equipped with modern flight data recorders for less than the costs of the two 737 accidents.

Some of the innovations discussed here are clearly needed if the….

DATA ANALYSIS Problem 1Answer the question: Does practice time make a difference? Support your answer with your findings.The ANOVA single factor test was used to determine whether there was a difference in the swimming time by practice time. ANOVA was calculated using the following steps:i) Present the data in three columns by practice time as shown:less than 15 (1)15-25 (2)greater than 25(3)58.764.46855.355.865.961.858.754.749.554.753.664.552.758.76167.858.765.761.665.751.458.766.553.654.656.75951.555.454.751.561.454.856.957.2ii) State the null and alternative hypothesesHo: all means are equalHA: all means are not equaliii) Run a single-factor ANOVA using the data analysis tool on Excel. The results are presented below:Anova: Single FactorSUMMARYGroupsCountSumAverageVarianceColumn 110580.558.0529.87833Column 213753.557.9615422.68423Column 313767.459.0307731.07897ANOVASource of VariationSSdfMSFP-valueF critBetween Groups8.86876068424.434380.1600920.8527233.284918Within Groups914.06346153327.69889Total922.932222235Implication: The F statistic (0.16) is less than the F critical (3.29). Further, the F-statistic is yields a p-value of 0.853, which is greater than p?0.05, implying that the differences in means is not significant at the .05 level of significance and hence, we accept the null hypothesis.….

sampled, and the various types of instruments used in data collection. The methods also differ in how the data will be collected: qualitatively, quantitatively or both.
In the following essay we will be discussing the comparisons and contrasts of the following research methods, followed by some examples and particular usage of these methods.

Field esearch Method

Experimental esearch Method

Comparison

Field esearch Method

Field research is an activity used to collect primary or unusual data using methods such as face-to-face interviewing, telephonic interviews, surveys and direct observation etc. The purpose of this study is to observe the phenomena in its natural state, collection of data and then construction of theory. The field research method has much strength, such as that the researcher can conduct research in a better way to find out the specific information that is required. Similarly, flexibility is also a great strength of this method, as the researcher can make many changes….

DOCTORAL SUCCESS: QUALITATIVE DATA ANALYSIS DOCTORAL SUCCESS: QUALITATIVE DATA ANALYSIS 11Doctoral Success: A Qualitative Data AnalysisStudent NameInstitutionIntroductionStatement of the ProblemGetting accepted into a doctoral program is only half the battle. Completing the program is not a given, and current doctoral completion rates are only fifty-seven percent: meaning that almost half of all doctoral students do not complete the program as planned (Johnson, 2015). Those rates are substantially lower for minorities and women. Although women outnumber men at the time of enrolment in masters and doctoral programs, a greater percentage of men go on to complete their degrees (Castro, Garcia, Cavazos, et al, 2011). Understanding why students are not completing degrees is important because it will help reveal which student needs are not being met.Given the tremendous challenges of simply reaching the stage of beginning ones doctoral degree program, motivation and aptitude would not seem to be variables that impact doctoral….

Excel
"According to T-100 Domestic Market, the top seven airlines in the United States by domestic boarding in a recent year were Southwest Airlines with 81.1 million, Delta Airlines with 79.4 million, American Airlines with 72.6 million, United Airlines with 56.3 million, Northwest Airlines with 43.3 million, US Airways with 37.8 million, and Continental Airlines with 31.5 million. Using Excel, construct a pie chart and a bar graph to depict this information". ( Kaplan University, 2016 p 1).

Pie Chart

Bar Graph

Department of the Interior releases figures on mineral production. The following are the 15 leading states in nonfuel mineral production in the United States in 2008". ( Kaplan University, 2016 p 2).

State

Value ($Billon)

Arizona

Nevada

Florida

Utah

California

Texas

Minnesota

Alaska

Missouri

Colorado

Michigan

Wyoming

Georgia

New Mexico

Pennsylvania

1.68

Descriptive Statistics

Value ($Billion)

Mean

3,613333

Standard Error

0,496542

Median

2,98

Mode

#N/A

Standard Deviation

1,923099

Sample Variance

3,69831

Kurtosis

3,583069

Skewness

1,783901

ange

7,27

Minimum

1,68

Maximum

8,95

Sum

54,2

Count

15

Confidence Level (95,0%)

1,064977

The….

Management
The five management programs have the same common dependent variables. These are the average turnover, the weekly profit and the monthly staff time cost. The independent variable for this experiment is the management system that is used. There are five different management systems that are being used at the company, and they differ in their methods. The data presented show the impact of the different management systems on the different output measures (dependent variables).

The wild card is the type of store data. The company investigated this using three store categories, and presented its findings, but they were not presented with statistical analysis. As such, they should not be considered to be an independent variable.

Outcome variables are the dependent variables.. Ultimately, for this company the variables should reflect a wider variety of output measures for each store. . The output variables should be related to the success measures. First, it is….

SOCIOLOGY Sociology: Single Subject Design- Sample, Context, Aims, and MeasuresStudy Aims and Measuresesearch Question Concerning the ClientThe research question concerning the client is:Is psychoeducation, specifically social skills training, useful for controlling the clients ADHD condition?Importance of QuestionThe importance of the question would be for the client to be able to educate him on his conditions management. Psychoeducation would help the child cope with three major symptoms of ADHD: inattention, impulsivity, and hyperactivity (John Hopkins Medicine, n.d.).Conceptual Definition of esearch VariablesThe conceptual definition of the variables would be:Psychoeducation: Information is provided to the patients about a psychological disorder to empower them with equipment of pertinent knowledge (Orygen, 2019).Social skills: The knowledge of behaving appropriately in social conditions daily, such as conducting suitable conversations with verbal and nonverbal cues, speech, choice of words, facial expressions, etc. (Kid Sense, n.d.).Operational Definition of esearch VariablesSocial skills would be measured by accompanying and, in reality,….

digit integers {1, 3, 5, 7, 9}.
Sampling distribution of each sample is .04

Mean () Probability P (x)

If a population has a standard deviation ? of 25 units, what is the standard error of the mean if samples of size 16 are selected? Samples of size 36? Samples of size 100?

Standard error for sample size 16 25 / 4= 6.25

Standard error for sample size 36 25/6= 4.17

Standard error for sample size 100 25/10= 2.5

According to Nielsen's Television Audience report, in 2009 the average American home had 2.6 television sets (more than the average number of people per household, at 2.5 people). If the standard deviation for the number of televisions in a U.S. household is 1.2 and a random sample of 0 U.S. households is selected, the mean of this sample belongs to a sampling distribution.

a.What is the shape of this sampling distribution? Normal

b.What is the mean of this sampling….

Sundborg et al. (2012) conducted a quantitative study, which examined the preparedness of nurses to provide care for women who are exposed to intimate partner violence (p.1). The study was carried out on the premise that intimate partner violence (IPV) has significant effect on women's health. Therefore, nurses need adequate preparations to identify such victims and provide suitable interventions. While the study provides significant insights relating to nurses' preparedness in handling such patients, there are some drawbacks associated with it as demonstrated in this critique.
The sample for this study was randomly selected from the 174 primary health care centers that employ approximately 1,200 active nurses in Stockholm County (Sundborg et al., 2012, p.3). Since the sample was selected randomly, a probability sampling method was utilized by the researchers. Every individual in the sampling population had equal chance of being included in the study. The results from this sampling method were….

Kottke, J., & Pelletier, K. (2013). Measuring and differentiating perceptions of supervisor and top leader ethics. Journal of Business Ethics, 113(3), 415-428. doi:10.1007/s10551-012-1312-8
Davis, A. L., & othstein, H. . (2006). The Effects of the Perceived Behavioral Integrity of Managers on Employee Attitudes: A Meta-Analysis. Journal of Business Ethics, (4). 407.

Locate, download, and print "Empirical esearch Checklist."

For this assignment, selection of quantitative studies is preferred.

Instructors will be scoring your submission based on the number of correct identifications of empirical articles as noted in the checklist submitted. To be accepted as an empirical article, at least 13 of the 15 characteristics identified in the checklist must be present.

Directions:

ead the Kottke and Pelletier article in the topic materials.

ead the articles in detail.

Complete the Empirical esearch Checklist for each article by giving the page number where the characteristic is found or marking an "X" in the "Not Contained in Article" column.

Empirical esearch Checklist….

Crime Data Sources in the United States
The collection of crime data in the United States is carried out through different approaches including Uniform Crime eports and the National Incident-Based eporting System, which also act as the two primary sources of crime data for crime reporting. The data obtained from these sources are used for research and documentation of crime status at the county, state, and national levels. Notably, the National Incident-Based eporting System emerged as an advancement of the conventional summary of Uniform Crime eports that were used to track crime in the country. In addition, the Congress uses data from these sources together with those from the National Crime Victimization Survey to guide policy decisions and create suitable responses to crime. While the use of these sources helps in dealing with crime in the United States, they have some similarities and differences between them with regards to methodological processes….

Take for example a human resource manager who is interested in how three different departments in a business situation waste time on the internet on a given day when they should be doing company business. The human resource person would collect data through a time study process and determine the number of times each employee in each department logs on and off the internet for personal business. The times would be collected, added together and the times of each department converted to percentages. In the example presented, the human resource manager can report that, cumulatively, the employees in Department 1 spent a total of 5 hours a day on the Internet, Department 2 employees 2 hours a day and Department 3 spent 6 hours. The raw numeric count is then converted to percentages and the pie chart would look like the following (Ohlson, 2005):

The solution to the data presented above….

E-Groceries
Primary Data Collection

Secondary Data Collection

Performance evaluation of the optimized supply chains

McLane e-grocery

Carrefour Ooshop e-grocery

Logistics Optimization

Structural decisions items of operations strategy in logistics

Hardware of the firm

Operational Facilities

Operational Capacity

Process technology

Supply Network

Infrastructure decision areas

Software of the organization

Planning and control

Quality

Organizational Structure

Comparison of structural and infrastructural logistical operations management decisions

Horizons

Capital Investment

Globalization and Logistics Optimization

Logistical optimization models

Challenges in e-grocery Logistics

E-grocery logistical solution

Store-based order picking model

Figure: Store-based order picking model

Store-based order picking for attended goods reception

Store-based order picking for unattended goods reception

Dedicated order picking model

Figure: Dedicated order picking model

Delivery from dedicated centers for attended goods reception

Delivery from dedicated centers for unattended goods reception

Conclusion

E-basic needs frameworks so that organizations can get beneficial

Execution methodology

Distinctive logistical results

ecognize e-basic framework

E-basic framework

E-basic model for store-based pickup

E-basic dedicated distribution center model

Assessment of distinctive logistical results

Figure: Cost as percentage of Sales for LDC and VDC 41

E-basic need retailing

Logistical results with most incredible potential in distinctive market scenarios

ight blending of logistical results

Communication conduct of….

Health Record Utilization in Research and Data Analysis

Health records, traditionally used for patient care, can be a valuable asset for research and data analysis. Their comprehensive and longitudinal nature provides insights into health trends, treatment patterns, and patient outcomes.

Research Applications of Health Records

- Clinical Research: Studying the effectiveness of new treatments, comparing different medications, and identifying risk factors for diseases.
- Epidemiological Studies: Investigating the spread and distribution of diseases, monitoring health trends, and identifying at-risk populations.
- Health Outcomes Research: Evaluating the impact of healthcare interventions and policies on patient health and well-being.
- Big Data Analysis: Aggregating and analyzing health records....