問題一覧
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Branch of statistics that -Organize -Summarise -Simplify -Describe and present Data
Descriptive
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Branch of statistics that is concerned with making predictions, hypothesis testing, analyzing numbers and drawing conclusions from the data.
Inferential Statistics
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A Characteristic of an object or property of element
Variable
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A variable whose value is determined by chance
Random Variable
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Give an example of a discrete random variable
The number of students in a classroom
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Give an example of a Continuous random variable
The temperature of a boiling water
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A list of each possible value of X together with the probability that X takes that value in one trial experiment
Probability Distribution of a Discrete Random Variable X
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The meaningful a Discrete Random Variable is the central value or average of it's corresponding probability mass function. It is also called...
Expected Value
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The ______ describes how scattered or spread out the scores are from the mean value of the random variable
Variance and Standart Deviation
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The Standard Deviation is denoted by ___ and is the square root of the variance
ó
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Also known as Gaussian distribution, is an arrangement of a data set in which values cluster in the middle of the range and the rest decreases symmetrically towards either extreme
Normal Distribution
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The Normal Curve has
A single peak
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Discrete Data has the following qualities:
Limited and Countable
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It is a symmetric distribution the is speaked at the center, and Approaches the horizontal axis the farther from the center of the distribution the t value.
Normal Random Distribution
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A branch of mathematics that deals with the occurrence of a random event
Probability
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It is the study of the collection, analysis, interpretation, presentation, and organization of data.
Statistics
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A type of statistics that is A set of brief descriptive coefficients that summarize a given data set representative of an entire or sample population.
Descriptive Statistics
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Uses statistic tests, either to test for significant relationships among variables or to find statistical support for hypothesis.
Inferential Analysis
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Is an important factor in determining the representativeness of the sample population and the degree to which the change affects the findings.
Level of Significance
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It's defined as a wise guess that is formulated and temporarily adopted to explain the observed facts covered by the study.
Hypothesis
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Is used to compare with What is expected under the known hypothesis.
Test Statistic
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COMPUTING PROBABILITIES FORMULA
𝑃(𝑋) = 𝑁𝑈𝑀𝐵𝐸𝑅 𝑂𝐹 𝐹𝐴𝑉𝑂𝑅𝐴𝐵𝐿𝐸 𝐸𝑉𝐸𝑁𝑇𝑆 𝑇𝑂𝑇𝐴𝐿 𝑁𝑈𝑀𝐵𝐸𝑅 𝑂𝐹 𝑃𝑂𝑆𝑆𝐼𝐵𝐿𝐸 𝐸𝑉𝐸𝑁𝑇𝑆
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UNIVERSE
Collection or set of units from whom we got the whole data.
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POPULATION
Set of all possible values of a variable
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𝑝(𝑥)
PROBABILITY OF OUTCOME
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NORMAL DISTRIBUTION
An arrangement of data sets in which value
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CONTINUES RANDOM VARIABLE
THE DISTANCE BETWEEN TWO THINGS
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CHARACTERISTICS OF NORMAL DISTRIBUTION
The total area under the curve is 1.00 and since the curve is symmetric about x = μ. It follows that the area on either side of the vertical line is 0.50. This area represents the total number of cases (N).
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CHARACTERISTICS OF NORMAL DISTRIBUTION
The Mean, Median and Mode coincide at the exact center of the distribution
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STANDARD NORMAL DISTRIBUTION
Z-SCORE
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NORMAL DISTRIBUTION
X-SCORE
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THE Z-TABLE
also known as the table of probabilities. It was created to summarize the approximate area under the standard normal curve and to further simplify the process.
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a measure used in statistics indicating the value below which a given percentage of observations fall.
PERCENTILE
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Z-TEST
It is appropriate to use when the variance came from the sample data.