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Qnt 561 - Business Research Paper

Autor:   •  January 8, 2017  •  Business Plan  •  517 Words (3 Pages)  •  1,038 Views

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Business Research Project Part 5

QNT/561

September 11, 2016


Since 1982, Ross Stores has focused on high-quality brands while providing an easy, fun, and organized shopping experience for their customers. Ross Stores is the biggest off-price retail chain in the nation that offers a great deal for their consumers. It sells the latest styles and brands at a lower price, keeping things simple and delivering new products almost every day. Ross stores are recognized for their giving back to the communities such as the Boys and Girls Clubs of America (Ross Dress for Less, 2016). Ross Stores is a company making wise decisions for the consumer but on the inside the company is having major issues with their employees. One of the biggest business problems faced by the organization is their high rate of turnover. The team will determine the cause of the high turnover which has been found to be highest within the first 2 years of employment with the company.

One of the biggest business problems faced by the organization is their high rate of turnover. The company has found themselves in a situation where attrition has climbed to a level that can cause potential harm to the business. The team has determined that the best way to research the increasing turnover rates is to conduct an anonymous online survey. The survey is designed to target a random sample of employees regardless of their position in the organization using the stratified sampling method. A total of 24 Ross Dress for Less stores has been reviewed, with the lowest turnover rate of 0 and the highest of 63 per store.  By adding up all numbers from each store and dividing it by the number of stores we get an average, or mean number, of 26.5

Data Collection Plan

The Quantitative data collection methods rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize, compare, and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest ("Data Collection Methods", 2016). The team incorporated the date collected from the inferential statistics analysis, hypothesis testing, Anova and regression analysis. The data results were then placed into excel for calculations.

Descriptive Statistics

        The following data was collected over previous weeks of research fro the Ross Dress for Less turnover situation. The data shows that there are high variances and low data points. The quantitative data methods proved more positive outcomes from the data sampled than negative. Overall Ross Dress for less need to evaluate the company’s policy, placement and steps taken for employee retention.

MEAN

-0.130318924

SUM

2.479730382

Regression Statistics

 

Multiple R

0.256303837

R Square

0.065691657

Adjusted R Square

0.023223096

Standard Error

3.484096779

Observations

24

 

 

Regression Statistics

 

Multiple R

0.256303837

R Square

0.065691657

Adjusted R Square

0.023223096

Standard Error

3.484096779

Observations

24

 

 

ANOVA

 

 

 

df

SS

MS

F

Significance F

Regression

1

18.77686525

18.77686525

1.546830296

0.226693968

Residual

22

267.0564681

12.13893037

 

 

Total

23

285.8333333

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Intercept

11.93001179

1.409387668

8.464677297

2.2833E-08

9.007120668

Y:Turnover Rate Per Loc

-0.056928343

0.045772772

-1.243716324

0.226693968

-0.151855262

Upper 95%

Lower 95.0%

Upper 95.0%

14.85290292

9.007120668

14.85290292

0.037998575

-0.151855262

0.037998575

References

Data Collection Methods. (2016). Retrieved from

https://people.uwec.edu/piercech/ResearchMethods/Data%20collection%20metho

ds/DATA%20COLLECTION%20METHODS.htm

Ro[a]ss Dress for Less. (2016). Retrieved from https://www.rossstores.com/about-us

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