Need To Know- Test #1 Flashcards

Ch.1, Ch.2, Ch.3, & Ch.12 (70 cards)

1
Q

Population (definition)

A

The complete collection of “all” individuals/items to be studied

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2
Q

Sample (definition)

A

A subcollection of members selected from the population

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3
Q

Parameter (definition)

A

A numerical measurement describing some characteristic of a population

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4
Q

Statistic (definition)

A

A numerical measurement describing some characteristic of a sample

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5
Q

Quantitative Data (or numerical data)

A

Data consisting of numbers representing counts or measurements

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6
Q

Discrete data (definition)

A

Quantitative data representing a finite or countable number

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7
Q

Continuous data (definition)

A

Quantitative data representing an infinite many possible values corresponding to some continuous scale that covers a range of values without gaps, interruptions, or jumps

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8
Q

Qualitative Data (or categorical data)

A

Data that consists of names or labels or numbers that do not represent a count of measurement

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9
Q

Simple Random Sample (SRS)

A

A sample of n subjects selected in such a way that every possible sample of size n has the same chance of being chosen. (i.e. choosing names out of a hat)

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10
Q

Systematic Sample

A

A sample in which the researcher selects some starting point and then selects ever nth element in the population (i.e. choosing every 3rd person, then every 5th person)

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11
Q

Stratified Sample

A

A sample in which the researcher subdivides the population into at least two different groups (or strata) and draws a sample from each group (i.e. separating into different grades, then choosing 50 from each group)

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12
Q

Cluster Sample

A

A sample in which the researcher first divides the population into sections (or clusters), and then randomly selects all members from some of those clusters (i.e. dividing into grades and choosing all of the freshmen and seniors)

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13
Q

Convenience Sample

A

A sample in which the researcher simply uses results that are very easy to get. (not a valid sampling method, results in biased data) (i.e. asking a random person walking by you the question)

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14
Q

Bias (definition)

A

If the results of the sample are not representative of the population

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15
Q

Sampling bias (definition)

A

The technique used to obtain the individuals to be in the sample tends to favor one part of the population over another

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16
Q

Nonresponse bias (definition)

A

When individuals selected to be in the sample who do not respond to a survey have different opinions from those who do

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17
Q

Response bias (definition)

A

When answers on a survey do not reflect the true feelings of the respondent

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18
Q

Which bias? To determine how TWU students feel about commuting, 100 TWU students were randomly chosen by selecting 50 men and 50 women to participate. They were asked how far they commute each day (in minutes) to campus

A

Sampling Bias

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19
Q

Which Bias? In a survey, subjects are asked to record how many alcoholic drinks they consume each day.

A

Response Bias

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20
Q

Which bias? A recent email poll asked teens whether they were using nicotine products. Only 10% of students responded. Of those, only 8% used nicotine products.

A

Nonresponse Bias

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21
Q

What is this symbol? ∑

A

Sigma

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22
Q

What does sigma mean?

A

Find the sum of all data points

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23
Q

What is this symbol? X

A

X

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24
Q

What does X mean?

A

A variable used to represent the individual data values

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25
What does this symbol mean? n
The sample size
26
What does this symbol mean? N
The population size
27
What is this symbol? x̄
x-bar
28
What does this symbol mean? x̄
The sample mean
29
What is this symbol µ?
Mu
30
What does µ mean?
The population mean
31
Mean (definition)
The average of a data set is found by adding up all the data points and dividing by however many data points there are
32
Median (definition)
The middle value when the data set is ordered from least to greatest.
33
Mode (definition)
The number that occurs most often
34
What does a bell-shaped graph look like?
It symmetrical
35
What does a right-skewed (positively skewed) graph look like?
The tails are on the right side and the biggest side of the graph is on the left
36
What does a left-skewed (negatively skewed) graph look like?
The tails are on the left side of the graph and the biggest side of the graph is on the left
37
What does Variance equal?
Standard deviation squared
38
What does Standard deviation equal?
√variance (square root of variance)
39
How do you find Sample Standard Deviation?
s= ∑ (x-x-bar) / n-1
40
How do you find Population Standard Deviation?
σ= ∑ (x-µ) / N
41
What is the symbol for the sample mean?
42
What is the symbol for the population mean?
µ
43
What is the symbol for the sample standard deviation?
S
44
What is the symbol for the population standard deviation?
σ
45
What is the symbol for the sample variance?
S^2
46
What is the symbol for the population variance?
σ^2
47
What the symbol for the sample size?
n
48
What is the formula for Z-score?
Z= X-mean/Standard Deviation or Z= X-µ/σ
49
What are measures of center?
µ, x̄, mean, median, and mode
50
What are measures of spread?
Variance, Standard Deviation, Range, IQR, σ, σ^2, S^2, and S
51
What is the first quartile?
25th percentile= number in which 25% of scores are below and 75% of scores are above
52
What is the second quartile?
50th percentile= number in which 50% of the scores are below and 50% are above
53
What is the third quartile?
75th percentile= number in which 75% of scores are below and 25% are above
54
How do you find IQR (interquartile range)?
IQR= Q3-Q1
55
What is the formula to find the sample mean?
x̄= ∑X / n
56
What is the formula to find the population mean?
µ= ∑X / N
57
What does it mean to have a probability of 0?
It's impossible
58
What does it mean to have a probability of 0.5?
Equally likely to happen or not happen
59
What does it mean to have a probability of 1?
It is certain to happen
60
What is the complement?
The event that is not denoted (i.e A')
61
Can mutually exclusive events happen at the same time?
NO
62
What is the regression equation?
ŷ=b sub 1 X + b sub 0
63
How do you find the slope?
Rise/Run, Vertical change in y / the horizontal change in X
64
What is the explanatory variable (independent variable)?
X
65
What is the response Variable (dependent variable)?
Y
66
What does a positive scatter plot look like?
/
67
What does a negative scatter plot look like?
\
68
How do you find residual?
y-ŷ or observed y - predicted ŷ
69
When would you use the Regression Equation for Predictions?
1. Use for predictions only if the graph of the regression line fits the points reasonably well 2. Use for predictions only if r indicates there is a linear correlation present 3. Use for predictions only if the data does not go much beyond the scope of the available sample data
70
T/F the value of r and b sub1 have the same sign?
True