2024 CTR Stats Exam Guaranteed A+ Actual Questions and Answers, Complete 100%
- Which graphic scales of measurement data are considered qualitative
Answer: -Nominal and Ordinal
- includes two or more categories, but there is no intrinsic ordering to any category.
Not a way to sort high to low(Sex, Race)
Answer: Nominal Data
- similar to nominal data in that it has two or more categories, but ordinal data can be
sorted from high to low (e.g., TNM stage)
Answer: Ordinal Data
- Which data measurement is quantitative scales of measurement. Quantitative
data includes measures of values or counts and are expressed as numbers.Quantitative data includes data about numeric variables (e.g. how many; how much; or how often).
Answer: Interval and Ratio Data
- (also sometimes called integer) data item is similar to an ordinal variable, except
that the intervals between the values of the interval variable are equally spaced and there is no real 0 point. This allows for the distance between two pairs to be equivalent in some way.(e.g., level of pain from 1-10, temperature in degrees Fahrenheit).
Answer: Interval Data
- similar to an interval data item except there is a well-defined absolute 0. In other
words, the number zero has meaning. In a ratio scale numbers can be compared as multiples of one another. Thus one person can be twice as tall as another person or weigh half as much as another person.
Answer: Ratio Data
- refers to the average square of the distance of observations from the mean in a
distribution. Other measures of spread also provide information about the degree to which individual data items are clustered about or deviate from the average value in a
distribution include: Range, IQR, Standard Deviation
Answer: Variance
- the difference between the highest value and the lowest value
Answer: Range
- / 2
- provides a measure of the spread of the middle 50% of the scores; the IQR is defined
as the 25th percentile through the 75th percentile
Answer: Inter Quortile Range (IQR)
- the square root of the variance
Answer: Standard Deviation
- What does kurtosis of a distribution curve refer to?
Answer: The shape of a probability distribution
- What is example of a distribution's measure of shape?
Answer: Skewness, Symmetric, Bimodal
- Positively skewed distribution
Answer: Has tail extending to the right (larger numbers)
- Negative Skew Distribution
Answer: Has tail extending to the left (smaller numbers)
- distributions that have observations (or scores) that fall equally and in the same
shape on both sides of the center of the curve. The mean, median and mode are the same in a normal curve.
Answer: Symmetric, Normal or Bell Curve
- a distribution having two separate peaks.
Answer: Bimodal
- The most common measures of central tendency are
Answer: Arithmetic Mean (Avg), Median, and Mode
- What are measures of variability (i.e., dispersion/spread) of the data items in a
dataset. Measures of variability describe how spread out or scattered a set of data is from the arithmetic mean or median of the dataset.
Answer: The range, variance, standard deviation and interquartile range (IQR)
- What term implies that every person has an equal and independent chance of being
chosen for a study?
Answer: random sample
- a subset of the population under study; it may not be random
Answer: Sample
- / 2