Unit one test Flashcards

1
Q

define statistics

A

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

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2
Q

what is a sample

A

a subset of the population that is being studied

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3
Q

what is a parameter

A

a numerical summary of a population

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3
Q

what is a population

A

the entire group of individuals to be studied

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3
Q

what is an individual

A

a person or object that is a member of the population being studied

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4
Q

what is qualitative data/variables & what does it measure

A

qualitative variables allow for classification of individuals based on some attribute or characteristic. Qualitative data are observations corresponding to a qualitative variable.

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4
Q

what is a statistic

A

a numerical summary based on a sample

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5
Q

what is the process of statistics

A
  1. identify the research objective
  2. collect data needed to answer the questions
  3. describe the data
  4. perform inference/ form conclusions
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6
Q

what is a continuous variable

A

a quantitative variable that has an infinite amount of possible values

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6
Q

what is quantitative data/variables & what does it measure

A

quantitative variables provide numerical measure of individuals. quantitative data are observations corresponding to quantitative variables

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7
Q

what is a discrete variable

A

quantitative variable that has a countable number of possible values

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8
Q

define nominal measurement

A

a variable is at the nominal level if the values of the variable name, label, or categorize.

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8
Q

define ordinal measurement

A

Has the properties of the nominal level and the naming scheme allows for the values of the variable to be arranged or ranked.

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9
Q

define interval measurement

A

has the properties of the ordinal level of measurement and the differences in the values of the variable have meaning.
**A value of zero in the interval level of measurement does NOT mean the absence of the quantity.

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9
Q

what is a case control study

A

require individuals to look back in time

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9
Q

define ratio measurement

A

has the properties of the interval level of measurement and the ratios of the values of the variable have meaning.
**A value of zero in the ratio level of measurement DOES mean the absence of the quantity.

9
Q

define simple random sampling

A

if every possible sample of size n has an equally likely chance of occurring

9
Q

what is a cross-sectional study

A

collect info about individuals at a SPECIFIC point in time, or lover a short period of time

10
Q

define cluster sampling

A

obtained by selecting all individuals within a randomly selected collection or group of individuals

11
Q

what is the difference b/w an observational study and a designed experiment

A

an observational experiment, the researcher observes behavior without trying to influence the study. in a designed experiment, the researcher intentionally changed the value of the explanatory variable.

12
Q

define stratified sampling

A

obtained by separating the population into nonoverlapping groups called strata and then obtaining a simple random sample from each stratum

12
Q

what is a cohort study

A

first identifies a group of individuals to participate in the study (the cohort)
they are observed over a LONG period of time

13
Q

define systematic sampling

A

obtained by selecting every kth individual from the population

13
Q

what is/why shouldn’t we use convenience sampling

A

a convenience sample is one in which the individuals in the sample are easily obtained.
– any studied that use this generally have suspect results

14
Q

what is response bias

A

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

15
Q

what is non-response bias

A

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

16
Q

how do you calculate relative frequency

A

take the frequency pf a category and divide it by the sum of all frequencies

16
Q

what is sampling bias

A

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

17
Q

what is under coverage

A

the proportion of one segment of the population is lower in a sample than it is in the population.

18
Q

why do bars touch in a histogram

A

each interval starts from where the other ends (1-2.5, 2.6-3)

19
Q

when do you use mean

A

Mean is best used for a data set with numbers that are close together.

20
Q

what are the types of distribution

A

frequency distribution, relative frequency distribution,

21
Q

when do you use median

A

for skewed distributions or distributions with outliers

21
Q

when do you use mode

A

to summarize categorical variables

22
Q

what is range

A

The range generally gives you a good indicator of variability when you have a distribution without extreme values

22
Q

what is sample z score (formula and usage)

A
23
Q

what is population variance

A

a measure of dispersion that determines how far each data point is from the population mean.

23
Q

what is sample variance

A

the type of variance that is calculated using the sample data and measures the spread of data around the mean