Hcs/438 Dq's
HCS/438 DQ’s
Week 1:
DQ1: What are the differences between descriptive and inferential statistics?
According to Bennett (2009), the biggest difference between descriptive and inferential statistics is that descriptive statistics "deals with describing raw data in the form of graphics and sample of statistics" and inferential statistics "deals with estimating population parameters from sample data." This means that inferential statistics would be an estimate because the data would be estimated from sample data rather than using specific data whereas descriptive statistics would be more accurate. An example of descriptive statistics would be trying to find an average of something such as a G.P.A. or your overall grade in a class. Inferential statics can be used to find the effectiveness of a new medication on a target group.
References:
Bennett, J.O., Briggs, W.L., & Trivola, M.F. (2009). Statistical reasoning for everyday life (3rd ed.). Boston, MA: Pearson Education.
DQ2: What are the four levels of management?
The four levels of management are:
The nominal level of measurement is the simplest level of variables such as hair color or gender.
Ordinal level of measurement is data with a ranking or ordering scheme such as a star rating used on movies.
Interval level of measurement is when intervals are meaningful but ratios are not such as Fahrenheit temperatures.
Ratio level of measurement is when intervals and ratios are both meaningful such as data consisting of distances.
Data is classified into four levels of measurement so the information is easy to follow and research. The measurements help researchers keep data organized, this also helps to keep the measurements accurate. EBOOK COLLECTION: Bennett, J.O., Briggs, W.L., & Triola, M.F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Pearson Education, Inc.
Week 2
DQ1: The mean is a computation of numbers. To find the mean of a series of numbers we first add
Week 1:
DQ1: What are the differences between descriptive and inferential statistics?
According to Bennett (2009), the biggest difference between descriptive and inferential statistics is that descriptive statistics "deals with describing raw data in the form of graphics and sample of statistics" and inferential statistics "deals with estimating population parameters from sample data." This means that inferential statistics would be an estimate because the data would be estimated from sample data rather than using specific data whereas descriptive statistics would be more accurate. An example of descriptive statistics would be trying to find an average of something such as a G.P.A. or your overall grade in a class. Inferential statics can be used to find the effectiveness of a new medication on a target group.
References:
Bennett, J.O., Briggs, W.L., & Trivola, M.F. (2009). Statistical reasoning for everyday life (3rd ed.). Boston, MA: Pearson Education.
DQ2: What are the four levels of management?
The four levels of management are:
The nominal level of measurement is the simplest level of variables such as hair color or gender.
Ordinal level of measurement is data with a ranking or ordering scheme such as a star rating used on movies.
Interval level of measurement is when intervals are meaningful but ratios are not such as Fahrenheit temperatures.
Ratio level of measurement is when intervals and ratios are both meaningful such as data consisting of distances.
Data is classified into four levels of measurement so the information is easy to follow and research. The measurements help researchers keep data organized, this also helps to keep the measurements accurate. EBOOK COLLECTION: Bennett, J.O., Briggs, W.L., & Triola, M.F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Pearson Education, Inc.
Week 2
DQ1: The mean is a computation of numbers. To find the mean of a series of numbers we first add
References: Bennett, J.O., Briggs, W.L., & Trivola, M.F. (2009). Statistical reasoning for everyday life (3rd ed.). Boston, MA: Pearson Education. EBOOK COLLECTION: Bennett, J.O., Briggs, W.L., & Triola, M.F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Pearson Education, Inc. “The mode is the most common value or group of values in a data set. For an example the mode in the number set 3, 4, 6, 6, 10 is 6 because this value occurs twice in the data set."(Bennett, Briggs, & Triola, 2009, p. 146). Bennett, J.O., Briggs, W.L., & Triola, M.F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Pearson Education Inc DQ2: Measures of variability are range, Interquartile range, variance, and standard deviation Bennett, J. O., Briggs, W. L., & Triola, M. F. (2009). Statistical Reasoning for everyday life, Third Edition. Retrieved from https://ecampus.phoenix.edu/content/eBookLibrary2/content/eReader.aspx. Bennett, J., Briggs, W., & Triola, M. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Addison-Wesley Person Educational, Inc.. Bennett, J.O., Briggs, W.L., & Triola, M.F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston. MA: Pearson Education, Inc.