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

EXPERIMENT 1 Statistical Analysis Flashcards

Analytical Chemistry Lab Exam (60 cards)

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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
It is the sum of the value of each observation in a dataset divided by the number of observations.
Mean
26
it is the middle result in distribution when the values are arranged in ascending or descending order. (Both sample and population)
Median
27
Describes the reproducibility of measurements; the closeness of results to each other.
Precision
28
- Also called spread - Another term to describe the precision of a set of replicate results.
Range R
29
- Comparison of each of the individual values to arithmetic means. - Measure of how closely the individual results or measurements agree with each other.
Sample StandardDeviation (s)
30
Far from the mean
Large std. dev
31
Close to the mean
Small Standard deviation
32
33
Scale Increment To find the scale increment: 2. _____ by the number of _______ between them
Divide Intervals
34
This technique works for thermometers, spring scales, and other measuring instruments as well.
Scale Increments
35
It is complete set
Population
36
- subset of population - represents the bulk material you want to analyze - obtained through the process of sampling
Sample
37
also referred to as measures of center or central location
Measure of central tendency
38
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
Measure of central tendency
39
- sum of the value of each observation in a dataset divided by the number of observations.
Mean
40
is also known as the **arithmetic average**
Mean
41
it is the middle value in distribution when the values are arranged in ascending or descending order (both sample and population)
Median
42
describes the reproducibility of measurements; the closeness of results to each other.
Precision
43
* Also called spread * Another term to describe the precision of a set of replicate results.
Range R
44
* comparison of each of the individual values to the arithmetic mean * measure of how closely the individual results or measurements agree witheach other
Sample Standard deviation (s)
45
a statistically useful description of the scatter of the values determined in a series of runs
Sample Standard. deviation (s)
46
far from the mean
Large Standard deviation
47
close to the mean
small std. dev
48
* ratio of the standard deviation to the mean * another method of describing precision
Coefficient of Variation CV
49
high variation; greater level of dispersion around the mean
CV > 1
50
low variation; smaller level of dispersion around the mean
CV < 1
51
indicates the closeness of the measurement to its true or accepted value and is expressed by the error.
Accuracy
52
two values resulting from calculating the confidence interval.
Confidence Limit = sample mean ± margin of error
53
provide our best estimate of the population’s or sample’s mean
Confidence interval
54
REPORTING COMPUTED DATA: One of the best ways of indicating reliability is to give a confidence interval at the ____ or ____ confidence level.
90% or 95%
55
Lowest and Highest Data Point (if reject or accepted)
Q-Test – test for outliers
56
- can alter the results of the data analysis. - can influence the measure of central tendency especially the mean.
Outliers
57
𝑞𝑢𝑒𝑠𝑡𝑖𝑜𝑛𝑎𝑏𝑙𝑒 𝑑𝑎𝑡𝑎 𝑓𝑜𝑟 𝑡𝑒𝑠𝑡𝑖𝑛𝑔
𝑋𝑞
58
𝑛𝑒𝑎𝑟𝑒𝑠𝑡 𝑑𝑎𝑡𝑎 𝑝𝑜𝑖𝑛𝑡 𝑡𝑜 𝑋𝑞
𝑋𝑛
59
Accepted or Not? If Q < Qcrit
Accepted
60
Accepted or Reject? If Q > Qcrit
Reject

[PRELIMS Anachem Lab] (5 decks)

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