Examen 1: Cap 9 Y 8 Flashcards
(34 cards)
What is Statistics?
La colección, análisis, interpretación y presentación de datos numéricos. Recopila, agrupa y presenta esta información para la toma de decisiones.
What is a Population?
Colección de personas, objetos o cosas bajo un conjunto completo conocido como universo.
What is a Census?
Estudio de población como conjunto completo.
What is a Parameter?
Medida o característica de una población calculada usando toda la data de esta.
What is a Subpopulation (Muestra)?
Subconjunto de la población, que representa justamente a esta.
What is a Sampling Distribution?
Distribución de probabilidad de un estadístico calculado en una muestra aleatoria.
What are Descriptive Statistics?
Rama de Estadísticas que organiza, presenta y describe datos.
What are Inferential Statistics?
Rama de Estadísticas que involucra hacer conclusiones o inferencias de una población basado en una muestra de esa población.
What is a Statistic?
Dato o hecho de una data muestral.
What is the Mean?
Promedio familiar de un conjunto de datos de muestra.
What is a sample proportion?
A 1sample proportion refers to the proportion of a particular outcome in a single sample drawn from a population.
True or False: A random variable can take on values between individual samples and 90.
True.
Fill in the blank: A sample proportion is calculated as the number of successes divided by the _______.
total number of trials.
What does the term ‘random variable’ mean in statistics?
A random variable is a variable whose possible values are numerical outcomes of a random phenomenon.
What is the range of a sample proportion?
The range of a sample proportion is between 0 and 1.
Multiple choice: Which of the following is a key characteristic of a simple random sample? A) All individuals have an equal chance of being selected B) Only certain individuals are selected C) The sample is biased D) None of the above
A) All individuals have an equal chance of being selected.
What is the significance of the number 90 in the context of sample proportions?
The number 90 may refer to a specific threshold or limit in the context of the proportion being measured.
True or False: Sample proportions can only take on integer values.
False.
What is the formula for calculating a sample proportion?
Sample proportion = (number of successes) / (total number of trials).
Fill in the blank: The variable that represents the sample proportion is typically denoted as _______.
p-hat (p̂).
What is the purpose of calculating sample proportions in statistics?
To estimate the proportion of a certain characteristic in a larger population based on a sample.
Multiple choice: Which statistical method is commonly used to analyze sample proportions? A) Regression Analysis B) T-test C) Chi-square test D) ANOVA
C) Chi-square test.
True or False: A sample proportion can be used to make inferences about a population proportion.
True.
What is the maximum value a sample proportion can achieve?
1 (or 100%).
