Exam 1 Vocab Flashcards

1
Q

What are the 5 steps in a Statistical Process?

A

Design the study, collect data, describe the data, make inferences, and take action.

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2
Q

Design the study

A

State a research question, what needs to be done to answer the research question. What is the population? What kind of data needs to be collected?

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3
Q

Collect Data

A

How is the sample collected, and going out to actually obtain the data?

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4
Q

Describe the Data

A

Creating graphs or calculating statistics to help visualize and describe the data.

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5
Q

Make Inferences

A

Using the information contained in a sample to draw conclusions about a population.

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6
Q

Take Action

A
  • Determine which action to take based on the results of the study.
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7
Q

Simple Random Sampling (SRS)

A

Best method, computer generated, draw from a hat. =RANDBETWEEN(1,2000)

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8
Q

Systematic Sampling

A

subjects are in “some” sequential order. Randomly select one subject (to start sampling) then ask every Kth subject

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9
Q

Cluster Sample

A

subjects are put into groups that hopefully represent the population. Randomly select one or more group and sample everyone in that group heterogeneous.

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10
Q

Stratified Sample

A

Subjects are in groups according to similar characteristics specifically take a sample from each group (Homogeneous)

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11
Q

Experiment

A

researchers control the conditions under which measurements are made.

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12
Q

Observational study

A

researchers simply observe what happens without controlling the conditions under which measurements are made.

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13
Q

Treatment

A

The new or experimental condition that is imposed on the subjects

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14
Q

Response Variable

A

The variable that changes or responds to the treatment

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15
Q

Subjects

A

Participants in a study

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16
Q

Null Hypothesis

A

H0 is the foundational assumption about the population, the Status quo

17
Q

Alternative hypothesis

A

The statement that is true if the null hypothesis is rejected.

18
Q

P- value

A

The probability that a result will be observed that is as extreme or more extreme than the information observed, assuming that the null hypothesis is true.