Chapter 1-4 Flashcards

0
Q

SAMPLING ERROR

A

The amount of error that exists between sample statistics and the population parameter

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1
Q

What is POPULATION

A

Is the entire set of the individual of interest for a particular research questions.

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2
Q

Statistics

A

Numerical value that describes a sample. A statistics is usually derived from measurement sin the population
1)Used to organize and summarize the information so that the researcher can see what happened in the study.
2)helped answer questions that initiated the research
Specific results obtained!

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3
Q

Parameter

A

Is a value usually a numerical value, describes a POPULATION measurements of the individual in a population

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4
Q

Correlational

A

Observe two different variable to see if they are related

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5
Q

Experimental

A

Manipulate one variable (independent)
While measuring the other variable (dependent).

CAUSE AND EFFECT

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6
Q

DESCRIPTIVE STATISTICS

A

Stats procedures used to summarize, organize and simplify data

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7
Q

Inferential statistics

A

Techniques to study SAMPLES and make generalization about the population.

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8
Q

Nominal

A

Set of categories with different names (college majors)

It represents who you are

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9
Q

Ordinal

A

Set of categories organized in order of magnitude or size

T shirts (S,M,L)

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10
Q

Interval

A

Equal distances between numbers arbitrary zero point. (0 degrees F)

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11
Q

Ratio

A

Interval scale with meaningful 0 point

Distance
Time

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12
Q

Real limits

A

Infinite possibilities in between

2 upper limit is 2.5 lower limit 1.5

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13
Q

How to make a frequency table?

A

Highest to lowest

—> frequency——> divide frequency with “N” to get proportion—-> multiply by 100

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14
Q

Frequency distribution

A

Organized tabulation of the numbers of observations located in each category on the scale of measurement

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15
Q

Set up a frequency table and calculate

A

Highest to lowest—>how frequent——>divide frequency with “N”—->proportion—>percentage

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16
Q

Calculate ΣX from frequency table

A

“X” multiply with “f” then add the sums together.

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17
Q

Calculate ΣX^2 from frequency table

A

Square the “X” ———>multiply by “f”——–>add everything together

18
Q

How many rows would you need for a range X=41 X=96

A

Range calculate

Highest- lowest +1 = range
DIVIDE BY
INTERVAL WIDTH

Is the number of intervals

19
Q

What graphs?

INTERVAL

A

Histogram and polygons

20
Q

What graph?

RATIO

A

Histogram a and polygons

21
Q

What graph?

NOMINAL

A

Bar graphs

22
Q

What graph?

ORDINAL

23
Q

What graph?

population

A

Smooth graph

24
How can you tell positive skew and negative
The thumb points in the direction. Right hand positive Left hand negative
25
Variability and how to measure
Tells us how much distance to expect from one score to another Range/ standard deviation/ variance How well represents in the entire distribution
26
Calculate Deviation | POPULATION
Deviation= X — mean Tells us if the score is above or below the mean (— or +) Square root SS over N
27
Calculate variance | POPULATION
Sum of squares divide by population(#)
28
Calculate Sum of Squares (SS) | POPULATION
1) Find deviation score (X-mean) 2) square each deviation 3) add all Or 1) Square and Sum each score 2) find the sum ----->square it divide by "N" 3) subtract #2 from #1
29
Another name for squared deviation
Average squared deviation
30
Calculate standard deviation | POPULATION
Square root SS over N POPULATION
31
Calculate variance then standard deviation | SAMPLE STATISTICS
SS over n-1
32
Adding a constant what will happen
Mean change | SD: not changed
33
Multiplying constant what will change
Mean change | SD change: multiply by constant
34
Measure Central tendency
Mean Medium Mode More middle doesn't tell you how spread out
35
Mean
Uses all scores Center if gravity Mew: population Sample:M
36
Computational formula SS
1) Square each score and sum the squared scores 2) sum the normal scores, square it and divide it by "N" 3) subtract #2 from #1
37
Population standard deviation Alternative description Equation
Square root of the population variance Square root SS/N
38
Population variance Alternative description and equation
Mean squared deviation from the population mean Sum of the mean subtracted by X and then squared over N
39
Sample standard deviation Alternative description Equation
A measure of the average distance from the sample means Root of SS over n-1
40
Sample variance Description Equation
Mean squared deviation from the sample means A squared
41
DISCRETE | Use what graph
Number of people Solid whole numbers Bar graph
42
Continuous | What graph
Time/height/weight Real limits (Upper real vs Lower real) Histograms
43
What are the scales if measurements
Ratio Nominal Ordinal interval