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Week 1 Day 1

No description yet. This curated deck is ready for daily study.

Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

Log(x)=y

Back (Answer)

10^y=x

#2
Front (Question)

Y=mx+b Calculate slope:

Back (Answer)

M= (y2-y1)/(x2-X1)

#3
Front (Question)

Accuracy

Back (Answer)

How close the average of measured values are to the true value • assessed by the percent error of measurement

#4
Front (Question)

Precision

Back (Answer)

How close the measured values are to each other • assessed by calculating the standard deviation of measurements

#5
Front (Question)

% error

Back (Answer)

(Measured value-“true” or accepted value)/true or accepted value

#6
Front (Question)

Standard Deviation

Back (Answer)

Quantifies the amount of variation (precision) of data values. Low standard deviation indicates data points are close to the mean.

Card back image
#7
Front (Question)

Peta (P)

Back (Answer)

1015

#8
Front (Question)

Tera (T)

Back (Answer)

1012

#9
Front (Question)

Giga (G)

Back (Answer)

109

#10
Front (Question)

Mega (M)

Back (Answer)

106

#11
Front (Question)

Kilo (k)

Back (Answer)

103

#12
Front (Question)

Hecto (h)

Back (Answer)

102

#13
Front (Question)

Deca (da)

Back (Answer)

10

#14
Front (Question)

Deci (d)

Back (Answer)

10-1

#15
Front (Question)

Centi (c)

Back (Answer)

10-2

#16
Front (Question)

Milli (m)

Back (Answer)

10-3

#17
Front (Question)

Micro (µ)

Back (Answer)

10-6

#18
Front (Question)

Nano (n)

Back (Answer)

10-9

#19
Front (Question)

Descriptive statistics

Back (Answer)

Describe a data set; used to organize and summarize the data

#20
Front (Question)

Inferential statistics

Back (Answer)

Used to draw conclusions about the data

#21
Front (Question)

Population

Back (Answer)

The group from which data is collected

#22
Front (Question)

Sample

Back (Answer)

A subset of a population

#23
Front (Question)

Variable

Back (Answer)

A characteristic of any member of a population possibly differing in quality or quantity from one member to another

#24
Front (Question)

Categorical variables

Back (Answer)

Variable with qualitative values: nominal ordinal dichotomous