[Academic satisfaction in residents of the north zone, Mexico City]

Víctor Manuel Camarillo-Nava1, Miriam Ramirez-Cortez2, Dánae Pérez-López3

  • 1Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada 2 Norte, Coordinación Auxiliar Médica de Investigación en Salud. Ciudad de México, México.

Abstract

Related Concept Videos

Accountability and Responsibility of a Nurse II01:09

Accountability and Responsibility of a Nurse II

Professional accountability in nursing is a multifaceted concept that encompasses professional ethics, legal standards, and employment expectations. This framework ensures that nurses maintain and elevate the quality of care while upholding the values of their profession. It compels them to treat patients, families, and colleagues with respect, compassion, and integrity.
For example, a nurse demonstrating respect and compassion might listen attentively to a patient's concerns, provide...
731
Confidence Interval for Estimating Population Mean01:25

Confidence Interval for Estimating Population Mean

A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
7.6K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
11.0K
z Scores and Unusual Values01:07

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
9.9K
Abdominal Regions and Quadrants01:19

Abdominal Regions and Quadrants

To promote clear communication, for instance, about the location of a patient's abdominal pain or a suspicious mass, anatomists and clinicians typically use imaginary lines to categorize the abdominopelvic cavity into either four quadrants or nine regions to identify organs in the cavity.
The simpler quadrants approach, which is more commonly used in medicine, subdivides the cavity with one horizontal and one vertical line that intersects at the patient's umbilicus (navel). The four...
8.6K
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
12.0K