Developa histogram and assess the distribution of each variable. Consider why the distribution of the data is essential. Present a sumary and Description:

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Independent Variables

Independent Variables (IVs)	Justification for IV	Level of Measurement	Justification for Level of Measurement
Job Satisfaction	This variable is relevant because it may affect the staff's motivation and commitment to providing high-quality care to patients. The text suggests that "job satisfaction is a significant predictor of quality care and patient outcomes".	Interval	Job satisfaction can be measured using a Likert scale that has ordered response options. Interval measurement is appropriate because the distance between the response options is equal.
Quality of work	This variable is important because it may influence the staff's ability to provide safe and effective care. The text states that "the quality of work life of healthcare providers has a significant impact on their work performance and patient safety"	Ordinal	Quality of work can be assessed using a rating scale that has ordered categories. Ordinal measurement is appropriate because the categories have a natural order, but the difference between them is not necessarily equal.
Dependent Variable (DV)	Justification for DV	Level of Measurement	Justification for Level of Measurement
Safety	This variable is the ultimate outcome of interest in the study, as it reflects the level of care provided to patients. The text suggests that "hospital culture is linked to patient safety outcomes."	Nominal	Safety can be measured as a binary variable (e.g., safe/unsafe) or using a rating scale. Nominal measurement is appropriate because the categories have no inherent order, and there is no meaningful numerical distance between them.