stat 113 - objective 1 (based off slides)

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56 Terms

1
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What is a measurement obtained from a sample called?

Statistic

2
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What is the collection of all objects under study called?

Population

3
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What is a measurement obtained from every object of a population called?

Parameter

4
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What is a smaller collection of objects from the population called?

Sample

5
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What is the key difference between a parameter and a statistic?

A statistic is always knowable, while a parameter may be impractical or impossible to know.

6
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How can variables in statistics be classified?

As quantitative or categorical (qualitative).

7
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What defines a quantitative variable?

A variable whose values are numbers representing amounts or quantities.

8
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What defines a categorical (qualitative) variable?

A variable whose values are categories, measuring 'kind' or 'type' rather than 'quantity' or 'amount'.

9
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What is the nominal level of measurement?

The lowest level of measurement with categories that have no natural ranking or ordering.

10
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What is an example of a nominal level variable?

Gender

11
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What is the ordinal level of measurement?

A level where values have a natural ranking or ordering.

12
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What is an example of an ordinal level variable?

Ratings such as 'superb', 'good', and 'unsatisfactory'.

13
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What is the interval level of measurement?

A level where differences between values are meaningful, but there is no meaningful zero.

14
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What is an example of an interval level variable?

Temperature in Celsius (0°C does not mean absence of temperature).

15
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What is the ratio level of measurement?

The highest level of measurement with meaningful zero and properties of the interval level.

16
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What is an example of a ratio level variable?

Weight at birth, where 0 pounds means absence of weight.

17
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What is a discrete variable?

A quantitative variable with a finite or countable number of possible values.

18
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What is a continuous variable?

A quantitative variable with an infinite number of possible values that are not countable.

19
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What is an observational study?

A study where the researcher observes what is currently happening or what has happened in the past.

20
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What is a designed experiment?

An experiment where the researcher manipulates conditions to determine the effect on the response variable.

21
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What is a response variable?

The aspect being measured for each experimental unit.

22
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What is an explanatory variable?

The variable manipulated by the researcher to examine changes in the response variable.

23
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What is a double-blind experiment?

An experiment where neither the participants nor the person interacting with them knows which treatment is assigned.

24
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What is a completely randomized experiment?

An experiment where participants are randomly assigned to groups and then groups are randomly assigned to treatments.

25
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What is a confounder?

A variable whose effect on the outcome cannot be distinguished from the effect of different treatments.

26
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What is the goal of an observational study?

To describe a group or situation, compare groups, or examine relationships between variables.

27
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What are the two types of observational studies?

Prospective study and retrospective study.

28
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What is a prospective study?

A study where participants are identified in advance, and data are collected over time.

29
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What is a retrospective study?

A study where data are collected after the outcome has occurred using past records.

30
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What is a confounder in an observational study?

A variable that influences both the dependent variable and independent variable, making it difficult to determine the effect of the independent variable.

31
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In the exercise program study, what confounder was identified?

Alcohol consumption.

32
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What is blocking in the context of reducing confounders?

Grouping participants who are similar in some way to control for variables that may affect the outcome.

33
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What is a matched pairs approach?

A method where participants are paired based on similar characteristics to reduce confounding variables.

34
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What is sampling bias?

A bias that occurs when the method of obtaining the sample favors one part of the population over another.

35
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What can cause sampling bias?

Undercoverage, which occurs when a segment of the population is less represented in the sample.

36
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What historical example illustrates sampling bias?

The Literary Digest poll in 1936, which incorrectly predicted the election outcome due to biased sampling methods.

37
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What is voluntary response bias?

Bias that occurs when individuals choose to participate in a study, often leading to unrepresentative samples.

38
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What are common scenarios that lead to voluntary response bias?

Polls on social media, radio call-ins, and advertisements asking for opinions.

39
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What is response bias?

When survey responses do not reflect the true feelings of the respondents.

40
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Give an example of response bias.

Participants overestimating their push-up abilities in a survey compared to actual performance.

41
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What is nonresponse bias?

Bias that occurs when individuals selected for a sample do not respond, leading to differences in opinions between responders and nonresponders.

42
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Why is nonresponse bias a concern in surveys?

It can skew results if the nonresponders have different opinions than those who do respond.

43
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What are three common ways to organize qualitative data?

Frequency distribution, bar graph, and pie chart.

44
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What is a frequency distribution?

A list that shows each category of data and the number of occurrences for each category.

45
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What is relative frequency?

The proportion or percent of observations within a category, calculated as Frequency divided by the Sum of all frequencies.

46
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What is a histogram?

A graphical representation of data using rectangles to show the frequency of data points within specified ranges.

47
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How is a stem-and-leaf plot structured?

Digits to the left of the rightmost digit form the stem, while the rightmost digits form the leaves.

48
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What is the purpose of a pie chart?

To represent qualitative data as a circle divided into sectors, where each sector's area is proportional to the frequency of the category.

49
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What is the importance of checking the total frequency in a frequency distribution?

To ensure that the total frequency equals the number of observations in the data set.

50
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What is the significance of interpreting relative frequency histograms?

They help to understand the distribution of data points across different categories relative to the total sample size.

51
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What are the shapes of discrete distributions?

They can vary, but common shapes include uniform, binomial, and Poisson distributions.

52
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What is the role of data organization in statistical analysis?

To simplify the interpretation of data and facilitate comparisons between different categories or groups.

53
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What is the relationship between data organization and bias?

Proper organization of data can help identify potential biases and confounding variables in a study.

54
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What is the effect of demographic factors on voluntary response bias?

Certain demographics may be more likely to participate based on factors like free time, wealth, or education level.

55
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What is the impact of nonresponse bias on survey results?

It can lead to skewed results if the opinions of nonresponders differ significantly from those who respond.

56
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