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[PRELIMS Anachem Lab] > EXPERIMENT 1 Statistical Analysis > Flashcards

EXPERIMENT 1 Statistical Analysis Flashcards

Analytical Chemistry Lab Exam

1
Q

Amount of matter in an object

A

Mass

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2
Q

Weighing by Difference:

Mass Object Formula

A

Mass Object Formula =
mass container + object to weigh - mass empty container

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3
Q

Making use of “Tare” button or re-zero

A

Direct Weighing

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4
Q

Direct Weighing:
Making use of “_____” button or _______.

A

“Tare”
Re-zero

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5
Q

It is the accuracy of ± 1mg and are suitable for most weighing of amounts that are specified to only two or three significant figures.

A

Top-Loading Balance

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6
Q

Accuracy of ± 0.1 mg and must be used whenever you desire four or more significat figure.

A

Analytical Balance

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7
Q

Always check that the _______ is level before using it.

A

Balance

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8
Q

Do not handle objects to be ____ with bare hands. _______, ______ and _____ on your fingers will affect the weight of the objects.

A

Weighed
Moisture, Grease and Dirt

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9
Q

To be weighed accurately, all objects must be at ______________.

A

Room Temperature

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10
Q

Never weigh chemicals directly in contact with the _________. Use containers such as ______, _____ and _____.

A

Balance pan.
Beakers, Flasks, Weighing Bottles

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11
Q

Do not spill ____. Always keep the _______ clean

A

Chemicals
Balance

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12
Q

The goal of Calibration of Pipet:

To minimize any measurement __________ by ensuring the_______ of test equipment.

A

uncertainty
accuracy

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13
Q

Space occupied by matter

A

Volume

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14
Q

Liquid: Correct choice of ______/ ____

A

Glassware/instrument

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15
Q

______ and ____ were not designed to measure volumes accurately.

A

Beakers/Flasks

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16
Q

Pipet used in the experiment

A

Serological Pipet

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17
Q

It is the process of configuring an instrument to provide a result for a sample within an acceptable range.

A

Calibration

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18
Q

Scale Increment

To find the scale increment:
1. _________ the values of any two adjacent labeled _________

A

Subtract
Graduation

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19
Q

Scale Increments

To find the scale increment
2. _________ by the number of ____ between them.

A

Divide
Intervals

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20
Q

This technique works for thermometers, Spring scales, and other measuring instruments as well.

A

Scale Increments

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21
Q

It is complete set.

A

Population

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22
Q
  • Subset of population
  • Represent the bulk material you want to analyze
  • Obtained through the process of sampling
A

Sample

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23
Q

Also referred to as measures of center or central location.

A

Measure of Central Tendency

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24
Q

It is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or center of its distribution.

A

Measure of Central Tendency

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25
Q

It is the sum of the value of each observation in a dataset divided by the number of observations.

A

Mean

26
Q

it is the middle result in distribution when the values are arranged in ascending or descending order. (Both sample and population)

A

Median

27
Q

Describes the reproducibility of measurements; the closeness of results to each other.

A

Precision

28
Q
  • Also called spread
  • Another term to describe the precision of a set of replicate results.
A

Range R

29
Q
  • Comparison of each of the individual values to arithmetic means.
  • Measure of how closely the individual results or measurements agree with each other.
A

Sample StandardDeviation (s)

30
Q

Far from the mean

A

Large std. dev

31
Q

Close to the mean

A

Small Standard deviation

32
Q
A
33
Q

Scale Increment

To find the scale increment:
2. _____ by the number of _______ between them

A

Divide
Intervals

34
Q

This technique works for thermometers, spring scales, and other measuring instruments as well.

A

Scale Increments

35
Q

It is complete set

A

Population

36
Q
  • subset of population
  • represents the bulk material you want to analyze
  • obtained through the process of sampling
A

Sample

37
Q

also referred to as measures of center or central location

A

Measure of central tendency

38
Q

is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or center of its distribution

A

Measure of central tendency

39
Q
  • sum of the value of each observation in a dataset divided by the number of observations.
A

Mean

40
Q

is also known as the arithmetic average

A

Mean

41
Q

it is the middle value in distribution when the values are arranged in ascending or descending order (both sample and population)

A

Median

42
Q

describes the reproducibility of measurements; the closeness of results to each other.

A

Precision

43
Q
  • Also called spread
  • Another term to describe the precision of a set of replicate results.
A

Range R

44
Q
  • comparison of each of the individual values to the arithmetic mean
  • measure of how closely the individual results or measurements agree witheach other
A

Sample Standard deviation (s)

45
Q

a statistically useful description of the scatter of the values determined in a series of runs

A

Sample Standard. deviation (s)

46
Q

far from the mean

A

Large Standard deviation

47
Q

close to the mean

A

small std. dev

48
Q
  • ratio of the standard deviation to the mean
  • another method of describing precision
A

Coefficient of Variation CV

49
Q

high variation; greater level of dispersion around the mean

A

CV > 1

50
Q

low variation; smaller level of dispersion around the mean

A

CV < 1

51
Q

indicates the closeness of the measurement to its true or accepted value and is expressed by the error.

A

Accuracy

52
Q

two values resulting from calculating the confidence interval.

A

Confidence Limit =
sample mean ± margin of error

53
Q

provide our best estimate of the population’s or sample’s mean

A

Confidence interval

54
Q

REPORTING COMPUTED DATA:

One of the best ways of indicating reliability is to give a confidence interval at the ____ or ____ confidence level.

A

90% or 95%

55
Q

Lowest and Highest Data Point
(if reject or accepted)

A

Q-Test – test for outliers

56
Q
  • can alter the results of the data analysis.
  • can influence the measure of central tendency especially the mean.
A

Outliers

57
Q

𝑞𝑢𝑒𝑠𝑡𝑖𝑜𝑛𝑎𝑏𝑙𝑒 𝑑𝑎𝑡𝑎 𝑓𝑜𝑟 𝑡𝑒𝑠𝑡𝑖𝑛𝑔

A

𝑋𝑞

58
Q

𝑛𝑒𝑎𝑟𝑒𝑠𝑡 𝑑𝑎𝑡𝑎 𝑝𝑜𝑖𝑛𝑡 𝑡𝑜 𝑋𝑞

A

𝑋𝑛

59
Q

Accepted or Not?

If Q < Qcrit

A

Accepted

60
Q

Accepted or Reject?

If Q > Qcrit

A

Reject

[PRELIMS Anachem Lab] (5 decks)

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