Test 1 Flashcards

1
Q

What is population study?

A

Target population available for study.

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2
Q

What is a sample in the study?

A

A sample is a group of people, objects, or items that are taken from a larger population for measurement in a study.

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3
Q

What is the sample statistic?

A

Numbers that summarize data from a sample, the subset of the entire population.

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4
Q

What is the confidence interval for a study?

A

intervals that are frequently reported, a range of values that you can use certain percents that contain the population mean/an average of a groups characteristics.

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5
Q

What is the difference between a parameter and statistic?

A

A parameter is a number describing a whole population (Population mean), While a statistic is a number describing a sample (sample mean)

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6
Q

What is an observational study?

A

A study that observes the effect of a risk factor, diagnostic test, treatment, or other intervention without trying to change who is or isn’t exposed to it.

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7
Q

What is an experimental study?

A

A study that introduces interference and studies its affects.

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8
Q

What is a control group?

A

The group used to establish a cause-and-effect relationship by isolating the effect of an independent variable. (the independent variable is changed in the treatment group and kept constant in the control group).

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9
Q

What is a single blind study?

A

Patients do not know which study group they are in (for example whether they are taking the experimental drug or a placebo).

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10
Q

What is a double blind study?

A

Neither the patients nor the researchers/doctors know which study group the patients are in.

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11
Q

What is the difference between an explanatory variable and a response variable?

A

An explanatory variable is what you manipulate or observe changes in (for example caffeine does), only the response variable changes as a result (for example reaction times).

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12
Q

Quantitative data

A

Data represent amounts for example height weight time or age.

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13
Q

Categorical data

A

Variables where the data represent groups. This includes rankings (finishing places in a race), classifications (brands of cereal) and binary outcomes (coin flips).

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14
Q

What is simple random sampling? And example.

A

Every subgroup of same size is equally likely to be chosen as the sample.

(The names of 25 employees being chosen out of a hat from a company of 250 employees)

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15
Q

What is systemic sampling? And example.

A

When there is some kind of system or rule to give the sample.

(a population of 10,000 people, statistician selects every 100th person for sampling).

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16
Q

What is stratified sampling? An example.

A

We cut population into subgroups based on a characteristic, than sample is taken from each group.

( Subset A ) 16-25: 10 continued!

17
Q

What is convenience sampling?

A

Samples are taken from what is convenient, friends, Facebook. and shoes owned.

A company wants to donate money to 100 orphanages. It selects the 100 most popular.