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flash cards statitics

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Dominican Republic

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flash cards statitics
 

flash cards statiticsOnline version

home work

by Malvin#20
1

Valid: Valid data means the information collected is accurate.

2

Ratio: A ratio shows the relationship between two numbers, indicating how much bigger one is compared to the other, like female to whole ratio.

3

Normal Distribution: A normal distribution of data means most examples in a set are close to the average (mean), with few far from it, often shown as a bell curve on a chart.

4

Probability: Probability refers to the likelihood of an event, like picking a king from a deck of 52 cards.

5

Reliable: Reliable data is consistent, meaning results would be the same if measurements were repeated.

6

Standard Deviation: Standard deviation represents the average difference from the mean, showing how much individuals deviate from the norm.

7

Outliers: Outliers are figures very different from others in a dataset, like test scores much higher or lower than the rest.

8

Median: The median is the value at the halfway point between the two extremes of a dataset.

9

Correlation: Correlation is the extent to which two variables, like left-handedness and intelligence, show a relationship, often as cause and effect.

10

Significantly: Significantly means noticeably different, like left-handed people being noticeably more intelligent than right-handed people.

11

Correlate: To correlate means to study if factors, like age at death and other variables, show a relationship.

12

Random: Random means selecting without a specific pattern or bias, like picking a card from a deck.

13

Mean: The mean is the average, calculated by summing all values and dividing by the number of values.

14

Proportion: A proportion is a number compared with another number, like the proportion of males in a class.

15

Trend: A trend is a change in a particular direction, like healthier eating habits.

16

Volume: Volume refers to the amount or quantity, like the volume of traffic on roads.

17

Mode: The mode is the most frequent value in a dataset.

18

Outcomes: Outcomes refer to the results or events studied, like ages at which death occurs in life insurance calculations.

19

Variables: Variables are factors like age, sex, lifestyle, or health that can vary and are considered in calculations.

20

Sample: A sample is a group representing the total population measured.

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