STATS MT Flashcards

1
Q

calculation of probabilities of a population to make prediction and decisions

A

STATISTICS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what does continuous type of data requires

A

NORMAL PROBABILITY DISTRIBUTION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

a probability distribution of continuous random variables

A

NORMAL PROBABILITY DISTRIBUTION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is the shape of distribution curve

A

BELL

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

where is the relation of curve and center

A

SYMMETRICAL

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what coincide at the center

A

MEAN MEDIAN MODE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what flatten out indefinitely along the horizontal axis but never touch

A

TAILS OF THE CURVE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what is the area under the curve

A

ONE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

2 factors that affect the normal curve

A

MEAN
STANDARD DEVIATION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

shifts the graph of the normal curve to the right or to the left

A

CHANGE OF VALUE OF MEAN

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what determines the shape of the graphs

A

STANDARD DEVIATION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

when standard deviation is large?

A

NORMAL CURVE IS SHORT AND WIDE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

when standard deviation is small?

A

NORMAL CURVE IS TALL AND SKINNIER

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

a normal probability distribution that has myu equals 0 and standard deviation equals to 1

A

STANDARD NORMAL CURVE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

refers to 68-95-99.7 percent

A

EMPERICAL RULE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

measure of relative standing

A

Z SCORE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

number of standard deviation a given value x is above so below the mean

A

Z SCORE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

distance between a given value x and to the mean

A

STANDARD SCORE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

useful for comparing observed values

A

STANDARD SCORE

20
Q

if one score is positive and one score is negative

A

ADD SCORES

21
Q

if both score in same direction ( both left / both right )

A

SUBTRACT SCORES

22
Q

positive scores going to the right

A

SUBTRACT 0.5

23
Q

positive scores going to the left

24
Q

negative scores going to the right

25
negative scores going to the left
SUBTRACT 05
26
cannot be negative
AREA
27
atleast
GOING TO THE RIGHT
28
at most
GOING TO THE LEFT
29
above
GOING TO THE RIGHT
30
below
GOING TO THE LEFT
31
to get z score
X MINUS µ over standard deviation
32
to get x
STANDARD DEVIATION TIMES Z PLUS µ
33
to get µ
X MINUS STANDARD DEVIATION TIMES Z
34
to get standard deviation
X MINUS µ OVER Z
35
indicates the score or the observed score is above the mean
POSITIVE Z SCORE
36
indicates the score or the observed score is below the mean
NEGATIVE Z SCORE
37
set of all possible values of a variable
POPULATION
38
consists of one or more data drawn from the population
SAMPLE
39
a sampling method of choosing representatives from the population wherein every sample has an equal chance of being selected
RANDOM SAMPLING
40
most basic random sampling wherein each eelemnt in the population has an equal probability of being selected
SIMPLE RANDOM SAMPLING
41
done by lisitng all the elements in the population and selecting every nth element in your population list
SYSTEMATIC RANDOM SAMPLING
42
population is divided into different strata or divisions
STRATIFIED RANDOM SAMPLING
43
wherein each population is divided into clusters or groups and then randomly sleected
CLUSTER SAMPLING
44
measurement of quantity that describes the population
PARAMETER
45
the measurement of quantity that describes the sample
STATISTIC
46
a frequency distribution using the means computed from all possible random sample
SAMPLING DISTRIBUTION OF SAMPLE MEANS
47
difference between the sample mean and the population
SAMPLING ERROR