Math 9c Midterms Flashcards

1
Q

numerical facts that can be a reference or information

A

data

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2
Q

geting infos from datas -> new understanding

A

statistics

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3
Q

knowledge communicated from facts

A

infromation

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4
Q

TWO WAYS TO DO STATISTICS

A
  • Descriptive statistics
  • Inferential statistics
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5
Q

graphical summaries and numerical techniques

A

descriptive statistics

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6
Q

predicts, make conclusions based on a sample of the population

A

inferential statistics

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7
Q

collection of all possible individuals/objects

A

population (N)

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8
Q

numerical measurement describing some characteristics of a population

A

parameter

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9
Q

portion or part of the population

A

sample (n)

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10
Q

numerical measurement describing some characteristics of a sample

A

statistic

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11
Q

getting sample from a population

A

sampling

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12
Q

driving to conclusion about a population based on a sample

A

inference

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13
Q

data from the entire population

A

census

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14
Q

estimate population mean weight based on a sample

A

estimation

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15
Q

test the claim

A

hypothesis testing

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16
Q

random chosen <– equal chances

A

simple random sampling

17
Q

the resulting sample of a simple random sampling

A

random sample

18
Q

table that shows classes or intervals

A

frequency distribution

19
Q

the number of data points in the class

A

frequency

20
Q

distance between lower limits

A

class width

21
Q

difference between maximum and minimum data entry

A

range

22
Q

sum of lower and upper limits divided by 2

A

midpoint (classmark)

23
Q

percentage, divide f by the sample size n

A

relative frequency

24
Q

sum of f for that class and the previous ones

A

cumulative frequency

25
Q

bar graph for frequency distribution of data set

A

frequency histogram

26
Q

numbers that separates the classes so no gaps

A

class boundaries

27
Q

saame sa frequency histogram but uses relative frequencies instead and class boundaries

A

relative frequency histogram

28
Q

line graph - continues change in frequency

A

frequency polygon

29
Q

used to measure the center of data

A

mean (arithmetic average)

30
Q

data arranged in a frequency distribution

A

grouped data

31
Q

scores arrangement - classes category and frequencies

A

frequency distribution

32
Q

the number of observations falling in a category

A

frequency

33
Q

divides scores into two equal parts

A

median (middle score)

34
Q

scores that occurred most - nominal scale
unimodal - bimodal - trimodal - multimodal

A

mode (modal score)