Ch. 4 Flashcards

1
Q

Summarizes the distribution of one variable by stacking dots at points on a number line that shows the values of the variable

A

A dot plot

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2
Q

Values on an ordered (minimum to maximum) data set that divide the data into four intervals

A

Quartiles

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3
Q

Values of an ordered data set that divide the data into 10 equal parts

A

Deciles

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4
Q

Values of an ordered data set that divide the data into 100 intervals

A

percentiles

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5
Q

The formula for finding location of a percentile

A

Lp = (n+1)P/100

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6
Q

What is an alternative to finding the quartiles using the exclusive method

A

The inclusive method
.25n + .75 for first quartile and .75n+.25 to find the 3rd quartile

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7
Q

A graphic display that shows the general shape of a variables distribution. It is based on five descriptive statistics: maximum, minimum, first and third quartiles and the median.

A

Box plot

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8
Q

The range of values between the first and third quartiles. 50% of the distributions values are located here

A

Interquartile range

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9
Q

A data point that is unusually far from the others. An accepted rule is to classify and observation as this if it is 1.5 times the interquartile range above the third quartile or below the first quartile

A

Outlier

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10
Q

What is the formula for an outlier

A

Upper boundary = Q3+1.5(Q3-Q1)
Lower boundary = Q1-1.5(Q3-Q1)

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11
Q

What are the four distribution shapes

A
  1. Symmetric
  2. Skewed to the right/Positively skewed
  3. Skewed to the left/negatively skewed
  4. Bimodal
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12
Q

What is the formula for Pearsons Coefficient of skewness

A

sk= 3(xbar-mediain)/s

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13
Q

Graphical technique used to show the relationship between two variables measured with interval or ratio scales

A

Scatter diagram

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14
Q

Used to measure the direction and strength between two variables. Can be any measurement between -1 and 1

A

Correlation coefficient

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15
Q

What does the visual correlation look like for -1, 0, and 1

A

-1 shows a strong negative relationship, 0 shows no relationship, and 1 shows a strong positive relationship

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16
Q

A table used to classify sample observations according to two identifiable characteristics

A

Contingency table