Stats- test 1

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56 Terms

1
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What is the goal of statistics

to make inferences about populations using samples

2
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Define statistics

the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions

3
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What is data

 the information gathered used to draw a conclusion

4
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what are recorded characteristics referred to as

variables

5
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What are the two encompassing variables

qualitative and quantitative

6
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What are the types of quantitative variables

  • discrete

  • continuous

7
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What is a discrete variable

a countable variable, a whole number

8
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What is a continuous variable

an uncountable variable, a decimal

9
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What is an explanatory variable

the independent variable, the variable that is purposefully changed

10
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What is a response variable

the dependent variable, the variable that changes in response to the purposefully manipulated variable

11
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Describe and observational study

a study that does not attempt to manipulate anything but rather observes the relationship between the response and explanatory variable

12
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What kind of relationship can you claim with an observational study

association or correlation

13
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Describe a designed experiment

A designed experiment is where a a researcher purposefully manipulated the explanatory variable and controls the rest of the other variables in order to determine the relationship between the response and explanatory variable

14
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What relationship can you claim with a designed experiment

causal

15
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What is the group of people being studied called

population

16
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What is the smaller group being used to study the population referred to

sample

17
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What should the sample size always be in relation to the population

it should always be smaller

18
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What are all statistical methods based on the notion of what

randomness

19
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What is the gold standard of sampling

simple random sample

20
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What is simple random sampling

A sample of size n from o population of size N is obtained through simple random sampling if every possible sample of size n has an equally likely chance of occurring

21
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What is stratified sampling

 separate the population into the non-overlapping groups called strata (the individuals in each group should be as similar as possible). Then choose a random individual from each stratum for your population

22
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What is cluster sampling

make random clusters and pick a cluster, and that is your sample

23
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What is systematic sampling

selecting every kth individual from the population. The first individual selected is a number between 1-k (like every 5th person is chosen)

24
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What is convenience sampling

getting a sample based on convenience to the researcher, only gets to claim association

25
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What is a lurking variable

a variable that was unaccounted for that could influence the results of a study

26
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What is a confounding variable

a variable that cannot be separated from the explanatory variable and therefore cannot determine a true causal relationship.

27
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When is a variable at the nominal level of measurement

if the variable’s values allow for categorizing, labeling, or naming but not ranking in a specific oreer

28
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When is a variable at the ordinal level of measurement

when the variable’s values allow for both naming/categorizing/labeling (like the nominal level) and ranking in a specific order

29
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When is a variable at the interval level of measurement

When the variable’s values allow for labeling/labeling/categorizing and ranking in a specific order (ordinal) and the differences in the values hold meaning. Addition and subtraction can be performed on this variable

30
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When is a variable at the ratio level of measurement

When a variable’s values allow for naming/labeling/categorizing, being ranked in a specific order, the differences in values of the categories having meaning, substraction and addition can be done to the values (interval), and the ratios of the values have meaning, multiplication and division can be done one these values

31
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Describe a cross sectional study

an observational study that collects information a specific point in time/ short period of time

32
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Describe a case control study

a retrospective study where the researcher looks back in time by asking individuals to recall specifics or looking at pre-existing records

33
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Describe a cohort study

First the study identifies a group of individuals to participate in the study and those individuals are observed over a long period of time and their characteristics recorded- making these studies prospective

34
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<p>What does this variable represent?</p>

What does this variable represent?

population arithmetic mean

35
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What is a parameter in statistics

something that describes the entire population

36
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What is a statistic in statistics

describes a sample set of data

37
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Is u a parameter or a statistic

parameter

38
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<p>What does this symbol represent</p>

What does this symbol represent

the arithmetic mean of the sample

39
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What does N represent?

the size of the population

40
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What does n represent

the size of the sample

41
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What does M represent

the median

42
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When is a numerical summery of data resistant?

extreme observations (outliers) do not heavily affect the numerical summery

43
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if the mean is smaller than the median then the graph is

skewed left

44
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if the mean is larger than the median then the graph is

skewed right

45
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if the mean and median are roughly equal

graph is symmetric

46
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what is dispersion

the degree to which the data are spread out

47
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what does R represent

range

48
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what does sigma represent

standard deviation of the mean

49
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what is the variance of a variable

s2

50
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what is the population variance

sigma2

51
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What is the empirical rule

  1. approx 68% of data will lie within 1 standard deviation of the mean (mew-1 sigma)

  2. apporx 95% of the data will lie within 2 standard deviation of the mean (mew-2 sigma)

  3. approx 99.7% of the data will lie within 3 standard deviation of the mean (mew- 3 sigma)

52
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How do you find IQR

3 Q - 1 Q

53
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What does IQ R tell us

spread of middle 50%

large IQR- middle values are more dispersed

small IQR- middle values closer together

54
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What is s

sample standard deviation

55
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how does sample standard deviation differ from population standard deviation

sample is divided by n-1 and population is divided by N

56
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what does variance of a variable show

how spread out dad points are from the mean