SlideShare a Scribd company logo
1 of 86
SIGNIFICANT FIGURES
RULES
1. All nonzero digits are significant.
EXAMPLE:
1.694 g has 4 significant figures
1.6 g has 2 significant figures.
RULES
2. Zeroes in between nonzero digits are
considered significant.
EXAMPLE:
1005 kg has 4 significant figures
4.07 mL has 3 significant figures.
RULES
3. “Leading” zeroes, to the left of the first nonzero
digit, are never significant.
EXAMPLE:
0.001 C has only 1 significant figure
0.013 g has 2 significant figures.
RULES
4. Zeroes to the right of a decimal point in a
number are significant.
EXAMPLE:
0.029 mL has 2 significant figures
0.700 g has 3 significant figures
RULES
5. A number ends in zeroes that are not to the right
of a decimal point, the zeroes are not significant.
EXAMPLE:
5360.0 has five significant digits, but 5360 has only three
400.0 has four significant digits, but 400 has only one
RULES FOR
ROUNDING OFF NUMBERS
RULE 1
If the digit to be dropped is greater than 5,
the last retained digit is increased by one.
EXAMPLE:
12.6 is rounded to 13
RULE 2
If the digit to be dropped is less than 5, the
last remaining digit is left as it is.
EXAMPLE:
12.4 is rounded to 12
RULE 3
If the digit to be dropped is 5, and if any digit
following it is not zero, the last remaining digit is
increased by one.
EXAMPLE:
12.51 is rounded to 13
RULE 4
If the digit to be dropped is 5 and is followed only
by zeroes, the last remaining digit is increased by one
if it is odd, but left as it is if even.
EXAMPLE:
11.5 is rounded to 12
12.5 is rounded to 12
SCIENTIFIC NOTATION
SCIENTIFIC NOTATION
Standard Form
m x 𝟏𝟎𝒏
Coefficient
◾ equal or greater
than one, but
less than 10
base
exponent/power
◾ Can be positive
or negative
numbers
STANDARD FORM
5 x 𝟏𝟎𝟒.
𝟓
2.08 x 𝟏𝟎−𝟐
3.9 x 𝟏𝟎𝟓
11 x 𝟏𝟎𝟏
𝟑
0.9 X 𝟏𝟎𝟐
STANDARD FORM
0.7 x 𝟏𝟎 −𝟐
9.34 x 𝟏𝟎𝟓.
𝟓
1 x 𝟏𝟎−𝟏𝟑
YES
4.5 x 𝟏𝟎𝟒
YES
N O
N O
CONVERTING REGULAR NOTATION
TO SCIENTIFIC NOTATION
1.Move the decimal point to the right of the first (right-most) non-zero
number (NOTE: the exponent must be equal to the number of times you
movedthedecimal point).
2. When you move the decimal point to the left, the exponentis
positive.
3. When you move the decimal point to the right, the exponentis
negative.
CONVERT REGULAR NOTATION
TO SCIENTIFIC NOTATION
Example:
1.Convert 23,000into scientific notation
2.Convert 0.000000023into scientific notation
CONVERTING SCIENTIFIC NOTATION TO
REGULAR NOTATION
1. If the value of the exponent is positive, remove the power of
ten and move the decimal point that value of places to the
right.
2. If the value of the exponent is negative, remove the power
of ten and move the decimal point that value of places to the
left.
MEASUREMENT
WHAT IS MEASUREMENT
• It refers to the determination of the size or
magnitude of something.
• It is the comparison of an unknown quantity
with a standard quantity of the same rate
There are three important factors to consider when making
measurements:
•accuracy
•precision
•significant figures
PHYSICAL QUANTITY
A physical quantity is a characteristic or property of an object that
can be measured or calculated from other measurements
TWO TYPES
• Fundamental Quantities
Mass- It is a measure of the amount of matter in a body.
Length- It refers to the state,quality or fact of being long.
Time- It refers to the number of years, days, minutes, etc., representing
such an interval
• Derived Quantities
Examples:Velocity,Acceleration, Energy
SYSTEM OF UNITS
 S.I / Metric System – refers to the International
System of Units. It provides a complete coherent
system of units used for physical quantities.
Length – meter (m)
Mass - gram (g)
Time – second (s
 British System – Imperial System
Length- inch
Mass – pound
Time- second
• Metric System is accepted worldwide which was originally
described as MKS System (Meter-Kilogram- Second)
• It is also called the International system of units.
• The abbreviation SI comes from the systems French name
“Système International.”
• In this system, the units of length, mass, and time are the
meter, kilogram, and second, respectively.
• Other SI standards established by the committee are
those for temperature (the kelvin), electric current (the
ampere), luminous intensity (the candela), and the
amount of substance (the mole).
UNITS
 A quantity should be always compared with some
reference standard in order to measure.
 Unit of a physical quantity is defined as the established
standard used for comparison of the given physical
quantity.
 The units in which the fundamental quantities are
measured are called fundamental units and;
 The units used to measure derived quantities are
called derived units.
Conversion of
Units
Some quantities need to be converted
because there are some cases that these
quantities are found complicated to use in
solving a word problem.
Conversion Factor
The ratio of a quantity stated in one unit
to the same quantity stated in another
unit.
Conversion Factors
Length:
1m = 100cm = 1000mm
1km = 1000m = 0.6214mi
1m = 3.281 ft = 39.37 in
1cm = 0.3937in
1in = 2.54cm
1yd = 3ft = 91.44cm
1 ft = 12 in = 30.48 cm
1 mi = 5280 ft = 1.609 km
Time:
1 min = 60s
1 hr = 60 min = 3600s
1 day = 24hrs = 86 400s
1 yr = 365 days = 31, 536, 000s
1 yr = 52 weeks = 12 months
1 decade = 10 years
1 score = 20 years
1 century = 100 years
1 millennium = 10 centuries = 1000
years
Steps in Converting Units to Another
1. Multiply or divide by the appropriate conversion factor so that the
givenunitcancels,leavingthedesiredunitinthefinalresult.
Example:
How many feet does a car go in a 100-m dash?
Conversion factor:
1m = 3.28 ft
Solution:
1𝑚
100m x 3.28𝑓𝑡
= 328𝑓
𝑡
2. If such conversion information cannot be found directly from a
table, you may use all known conversion factors so that all
necessarycancellationsofunitswilltake place.
Example:
How many centimeters are exactly in a mile?
Conversion factors:
1 mile = 1.61 km
1 km = 1000 m
1 m = 100 cm
Solutions:
1 mile x 1.61𝑘𝑚
1 𝑚𝑖𝑙𝑒
𝑥 1000𝑚
𝑥 100𝑐𝑚
= 161000𝑐𝑚
1𝑘𝑚 1𝑚
HOW TO CONVERT FROM ONE UNIT TO ANOTHER?
km hm dam m dm cm mm
0.00
5
0.05 0.5 5
7 70 700
0.2 2
0.06 0.6 6
35 350 3500 35000
Examples:
1.5km = 5000m
2.7m = 700cm
3.2mm =0.2cm
4.6cm =0.06m
5.35hm = 35000dm
COMBINATION UNIT CONVERSION
Example 1
A jeepney tried to overtake a car. The
jeepney moves at 45 km/hour. Convert to
meters per second.
COMBINATION UNIT CONVERSION
Example
2
Judy was traveling by car at a
speed of 144 km/h. What is the speed
of the car in m/s?
COMBINATION UNIT CONVERSION
Help Stella determinethe speed in m/s if the
given speed is 33 km/h.
a. 16.9 m/s
b. 9.17 m/s
c.8.73 m/s
d. 19.24 m/s
COMBINATION UNIT CONVERSION
Leonard found that train he was travelling in
was running at 90 km/h while he was travelling.
This speed equals in m/s.
a. 19
b. 25
c. 28
d. 29
COMBINATION UNIT CONVERSION
Isabella understood that 37 km/h is greater than
37 m/s.Is she right?
a. True
b. false
COMBINATION UNIT CONVERSION
Which of the following is the fastestof the two
options given below?
a. 1 km/h
b. 1 m/s
PROBABILITY AND
ODDS
The weather forecaster says that the
probability that it will rain today is 75%.
Does it mean that there is a great chance
that it will rain today?
PROBABILITY
WHAT IS PROBABILITY?
Probability is used to describe
how likely or unlikely it is that
something will happen.
PROBABILITY
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
AS LIKELY
AS UNLIKELY
1
100%
CERTAIN
UNLIKELY LIKELY
¾
0.75
75%
LIKELY
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
The weather forecaster says that the probability that it
will rain today is 75%. Does it mean that there is a
great chance that it will rain today?
UNLIKELY LIKELY
¾
0.75
75%
LIKELY
The event that will rain today is likely to happen.
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
CERTAIN
UNLIKELY
LIKELY
IMPOSSIBLE 1.It will snow tomorrow in the Philippines.
2.The sun will rise tomorrow.
3.The likelihood that 2people in every group of 15
will have the same birthday is 8%.
4.Sports’ analyst says that Manny Pacquiao has
85% chance of winning.
PROBABILITY
P(E) =
𝒇 𝒂 𝒗 𝒐 𝒓 𝒂 𝒃 𝒍 𝒆 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔
𝒂𝒍𝒍 𝒑 𝒐 𝒔 𝒔 𝒊 𝒃 𝒍 𝒆 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔
1. What is the probability of picking red pen
out of the box?
Answer: 20%
It is unlikely to pick red pen out of the box
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
2. What is the probability of picking blue
pens out of the box?
Answer: 40%
It is unlikely to pick blue out of the box.
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
3. What is the probability of NOT picking
red pen out of the box?
Answer: 80%
It is likely to not pick red out of the box.
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
1. What is the probability of
landing on 3 or 5?
Answer: 1/3 or 0.33 or 33%
It is unlikely to land on 3 or 5
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
2. What is the probability of landing
on an even number?
Answer: 1/2 or 0.5 or 50%
It is as likely and as unlikely to land
on an even number.
0
0%
IMPOSSIBLE
¼
0.25
25%
UNLIKELY
½
0.5
50%
As LIKELY
As UNLIKELY
1
100%
CERTAIN
¾
0.75
75%
LIKELY
3. What is the probability of
landing on 7?
Answer: 0%
It is impossible to land on 7.
PROBLEMS INVOLVING
PROBABILITIES
1. A student is chosen from a certain group.
There are 9 girls and 8 boys in that group.
What is the probability that the
chosen student is a boy?
Answer: 8/17 or 0.47 or 47%
2. In John’s closet, there are 4 pairs of
blue socks, 5 pairs of green, and 2 pairs
of white socks, what is the probability that
John will get a pair of white socks?
Answer: 2/11 or 0.18 or 18%
WHAT ARE ODDS?
Odds is the ratio of the number of
favorable outcomes of the event to
the number of unfavorable
outcomes in reduced form.
HOW DO WE DISPLAY
THE ODDS FOR AN EVENT
𝒃
𝒂
or a :b
a – number of favorable outcomes
b – number of unfavorable outcomes
ODDS
EXAMPLE:
A box contains 4 green balls and 6 red balls. What
are the odds of randomly drawing a red ball?
SOLUTION:
6 FAVORABLE OUTCOMES
4 UNFAVORABLE OUTCOMES
So the Odds are 𝟔
= 𝟑
or 3 : 2
𝟒 𝟐
ODDS
EXAMPLE 2:
What are the odds of randomly drawing a face
card from an ordinary full deck of playing
cards?
ODDS
SOLUTION:
40 NOT FACE CARDS 12 FACE CARDS
ODDS
SOLUTION:
𝒂
=
𝒃
𝟏
𝟐
𝟒
𝟎
=
𝟑
𝟏
𝟎
OR 3:10
Example:
Suppose the odds that the Denver nuggets win the
basketball game this year are 2:11. What is the probability
that they win the basketball game this year?
SOLUTION:
Odds are 2:11
Therefore, P(E) =
𝒂
P(Win) =
𝒂+𝒃
𝟐
=
𝟐+𝟏𝟏
𝟐
𝟏
𝟑
EXAMPLE:
Consider a full-deck of playing cards shown below.
What is the probability of randomly drawing an ace?
What are the odds of randomly drawing an ace?
SOLUTION:
P (E) =
𝒂
Probability(Draw an ace) =
𝒂+𝒃
𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒂𝒄𝒆𝒔
𝑻𝒐𝒕𝒂𝒍 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒄𝒂𝒓𝒅𝒔
𝒂
𝒃
Odds for drawing an ace =
𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒂𝒄𝒆 𝒄𝒂𝒓𝒅𝒔
𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒏𝒐𝒕 𝒂𝒄𝒆 𝒄𝒂𝒓𝒅𝒔
PROBABILITY OF
INDEPENDENT AND
DEPENDENT EVENTS
PROBABILITY OF INDEPENDENT EVENTS
Independent Events- refer to the occurrence of
one event not affecting the probability of
another event.
PROBABILITY OF INDEPENDENT EVENTS
Formula:
P(A B) = P(A) x P(B)
PROBABILITY OF INDEPENDENT EVENTS
Example:
If you roll a six sided die and flip a
coin, what is the probability of rolling a five and
getting a head?
PROBABILITY OF INDEPENDENT EVENTS
Example:
A die and coin are tossed, what is
the probability of getting an even number and a
tail?
PROBABILITY OF DEPENDENT EVENTS
Dependent Events- are two events whose
result of the first event affects the outcome of
the other event
PROBABILITY OF DEPENDENT EVENTS
1. A box contains 3 red marbles, 4 green
marbles and 3 blue marbles. One marble is
removed from the box, and it is not replaced.
Another marble is drawn from the box. What is
the probability that the first marble is green, and
the second marble is blue.
PROBABILITY OF DEPENDENT EVENTS
2. A box of chocolates contains two milk
chocolates, five dark chocolates, and three
white chocolates. You randomly select and eat
three chocolates. Find the probability that you
select white chocolate, another white chocolate,
and then dark chocolate.
PROBABILITY OF DEPENDENT EVENTS
3. A box contains 7 red markers and 3 blue
markers. If we randomly select two markers
from this box, what is the probability drawing a
red marker and then a blue marker, without
replacement?
PROBABILITY OF
SUCCESS AND FAILURE
PROBABILITY
It is a measure that is associated
are of
with how certainwe
outcomes of a
particular
experiment or activity.
EXPERIMENT
It is a planned operation carried out
under controlled conditions.
The result of an experiment is called an
outcome.
SAMPLE SPACE
It is a set of all possible outcomes.
3 ways to represent a sample space,
◾list the possible outcomes
◾ create a tree diagram,
◾ create a Venn diagram
uppercase letter S
"OR" EVENT
The Or Rule states that we can find
the probability of either event A or event B
occurring by adding the probability of
event A and the probability of event B, as
long as both events are mutually exclusive:
P(A or B) = P(A) + P(B)
"OR" EVENT
Beth has a fruit basket which
contains 4 apples, 4 peaches, and 5
pears. If she randomly selects a piece of
fruit, what is the probability that it
or
is an apple a peach?
"OR" EVENT
A card is randomly selected from a
standard deck of 52 cards. What is
or
the probability that it is a 10 a face
card?
"AND" EVENT
If we want to find the probability of event A and
event B both occurring, we can use the And Rule.
The And Rule states that, if event A and event B
are independent, then:
P(A and B) = P(A) x P(B)
"AND" EVENT
Jason flips a coin and then rolls a six-
sided die. What is the probability that the
and
coin lands heads up the die shows an
"AND" EVENT
Alison, a teacher at a middle school has 5
boys and 6 girls in her class. Alison randomly
selects 3 different students to walk up and give
a presentation. Once the presentation is over the
student will leave for the day. What is the
probability that the first student is a boy, the
second student is a girl, and the third student is
also a girl?
COMPLEMENT
The complement of event A is denoted by A’ (read "A
prime"). It consists of all outcomes that are NOT in
A. Notice that P(A) + P(A’) = 1.
For example, let
S = {1, 2, 3, 4, 5, 6}
A = {1, 2, 3, 4}
Then, A’ = {5, 6}.
COMPLEMENT
If you pull a random card from a deck of
playing cards, what is the probability it is not a
heart?

More Related Content

Similar to PPT-MST (2).pptxgsggggggggggggggggggggggggggggggggghhhs

Metric System
Metric SystemMetric System
Metric System
shas595
 
Measurements in chemistry
Measurements in chemistryMeasurements in chemistry
Measurements in chemistry
makaberokurota
 
Introduction to Chemistry
Introduction to ChemistryIntroduction to Chemistry
Introduction to Chemistry
mjurkiewicz
 
Chemistry - Chp 3 - Scientific Measurement - PowerPoint
Chemistry - Chp 3 - Scientific Measurement - PowerPointChemistry - Chp 3 - Scientific Measurement - PowerPoint
Chemistry - Chp 3 - Scientific Measurement - PowerPoint
Mr. Walajtys
 
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdfHugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
davidriveroscanales2
 
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdfFisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
davidriveroscanales2
 
Chem 101 week 2
Chem 101 week 2Chem 101 week 2
Chem 101 week 2
tdean1
 

Similar to PPT-MST (2).pptxgsggggggggggggggggggggggggggggggggghhhs (20)

Lecture 3&4
Lecture 3&4Lecture 3&4
Lecture 3&4
 
Lecture 3&4
Lecture 3&4Lecture 3&4
Lecture 3&4
 
SIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENTSIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENT
 
Metric System
Metric SystemMetric System
Metric System
 
Measurements in chemistry
Measurements in chemistryMeasurements in chemistry
Measurements in chemistry
 
Statistics For Management 3 October
Statistics For Management 3 OctoberStatistics For Management 3 October
Statistics For Management 3 October
 
Lecture 1 physics_and_measurement
Lecture 1 physics_and_measurementLecture 1 physics_and_measurement
Lecture 1 physics_and_measurement
 
Measurement_and_Units.pptx
Measurement_and_Units.pptxMeasurement_and_Units.pptx
Measurement_and_Units.pptx
 
Introduction to Chemistry
Introduction to ChemistryIntroduction to Chemistry
Introduction to Chemistry
 
Chapter 1.powerpoint 1
Chapter 1.powerpoint 1Chapter 1.powerpoint 1
Chapter 1.powerpoint 1
 
Measurements
MeasurementsMeasurements
Measurements
 
Chemistry - Chp 3 - Scientific Measurement - PowerPoint
Chemistry - Chp 3 - Scientific Measurement - PowerPointChemistry - Chp 3 - Scientific Measurement - PowerPoint
Chemistry - Chp 3 - Scientific Measurement - PowerPoint
 
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdfHugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
Hugh_D_Young_&_Roger_A_Freedman_Física_Universitaria_12ed_Manual.pdf
 
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdfFisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
Fisica_Universitaria_Sears_Zemansky_12va_Edicion_Solucionario.pdf
 
Chem 101 week 2
Chem 101 week 2Chem 101 week 2
Chem 101 week 2
 
PowerPointCh2_Sections2.5.pdf
PowerPointCh2_Sections2.5.pdfPowerPointCh2_Sections2.5.pdf
PowerPointCh2_Sections2.5.pdf
 
Ch 2 data analysis
Ch 2 data analysisCh 2 data analysis
Ch 2 data analysis
 
Chapter 02
Chapter 02Chapter 02
Chapter 02
 
Lecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI UnitsLecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI Units
 
Ch1z5echemfnd 110115225130-phpapp02
Ch1z5echemfnd 110115225130-phpapp02Ch1z5echemfnd 110115225130-phpapp02
Ch1z5echemfnd 110115225130-phpapp02
 

More from leamangaring12

globalmigration-211013044057.pptx presentaton
globalmigration-211013044057.pptx presentatonglobalmigration-211013044057.pptx presentaton
globalmigration-211013044057.pptx presentaton
leamangaring12
 
4-Different-Economic-Systems powerpoint presentation
4-Different-Economic-Systems powerpoint presentation4-Different-Economic-Systems powerpoint presentation
4-Different-Economic-Systems powerpoint presentation
leamangaring12
 
International trade ppt on international and regional
International trade ppt  on international and regionalInternational trade ppt  on international and regional
International trade ppt on international and regional
leamangaring12
 
Social Welfare Agency and Administration.pdf
Social Welfare Agency and Administration.pdfSocial Welfare Agency and Administration.pdf
Social Welfare Agency and Administration.pdf
leamangaring12
 
malasakit center. ppt rph hdhhdhdhhdhdhdhhdh
malasakit center. ppt rph hdhhdhdhhdhdhdhhdhmalasakit center. ppt rph hdhhdhdhhdhdhdhhdh
malasakit center. ppt rph hdhhdhdhhdhdhdhhdh
leamangaring12
 

More from leamangaring12 (12)

BASIC CONSEPT.pdfjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj
BASIC CONSEPT.pdfjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjBASIC CONSEPT.pdfjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj
BASIC CONSEPT.pdfjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj
 
lea, coordinating report.pdfhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh...
lea, coordinating report.pdfhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh...lea, coordinating report.pdfhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh...
lea, coordinating report.pdfhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh...
 
the-wedding-dance-plot-diagram-171127053652.pptx
the-wedding-dance-plot-diagram-171127053652.pptxthe-wedding-dance-plot-diagram-171127053652.pptx
the-wedding-dance-plot-diagram-171127053652.pptx
 
PROJECTPROGRAM IMPLEMENTATION, MONITORING AND EVALUATION.pptx
PROJECTPROGRAM IMPLEMENTATION, MONITORING AND EVALUATION.pptxPROJECTPROGRAM IMPLEMENTATION, MONITORING AND EVALUATION.pptx
PROJECTPROGRAM IMPLEMENTATION, MONITORING AND EVALUATION.pptx
 
BJMP-AGENCY.pptx hsgfsguusu7x7uusiiixjuuh
BJMP-AGENCY.pptx hsgfsguusu7x7uusiiixjuuhBJMP-AGENCY.pptx hsgfsguusu7x7uusiiixjuuh
BJMP-AGENCY.pptx hsgfsguusu7x7uusiiixjuuh
 
globalmigration-211013044057.pptx presentaton
globalmigration-211013044057.pptx presentatonglobalmigration-211013044057.pptx presentaton
globalmigration-211013044057.pptx presentaton
 
4-Different-Economic-Systems powerpoint presentation
4-Different-Economic-Systems powerpoint presentation4-Different-Economic-Systems powerpoint presentation
4-Different-Economic-Systems powerpoint presentation
 
International trade ppt on international and regional
International trade ppt  on international and regionalInternational trade ppt  on international and regional
International trade ppt on international and regional
 
Social Welfare Agency and Administration.pdf
Social Welfare Agency and Administration.pdfSocial Welfare Agency and Administration.pdf
Social Welfare Agency and Administration.pdf
 
malasakit center. ppt rph hdhhdhdhhdhdhdhhdh
malasakit center. ppt rph hdhhdhdhhdhdhdhhdhmalasakit center. ppt rph hdhhdhdhhdhdhdhhdh
malasakit center. ppt rph hdhhdhdhhdhdhdhhdh
 
theoriesofeconomicdevelopment-210616115453 (1).pptx
theoriesofeconomicdevelopment-210616115453 (1).pptxtheoriesofeconomicdevelopment-210616115453 (1).pptx
theoriesofeconomicdevelopment-210616115453 (1).pptx
 
CATEGORIES
CATEGORIESCATEGORIES
CATEGORIES
 

Recently uploaded

一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
c3384a92eb32
 
Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
Kira Dess
 

Recently uploaded (20)

engineering chemistry power point presentation
engineering chemistry  power point presentationengineering chemistry  power point presentation
engineering chemistry power point presentation
 
Raashid final report on Embedded Systems
Raashid final report on Embedded SystemsRaashid final report on Embedded Systems
Raashid final report on Embedded Systems
 
5G and 6G refer to generations of mobile network technology, each representin...
5G and 6G refer to generations of mobile network technology, each representin...5G and 6G refer to generations of mobile network technology, each representin...
5G and 6G refer to generations of mobile network technology, each representin...
 
Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)
 
Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...
Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...
Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...
 
Filters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility ApplicationsFilters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility Applications
 
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdflitvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
一比一原版(Griffith毕业证书)格里菲斯大学毕业证成绩单学位证书
 
Dynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptxDynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptx
 
Databricks Generative AI FoundationCertified.pdf
Databricks Generative AI FoundationCertified.pdfDatabricks Generative AI FoundationCertified.pdf
Databricks Generative AI FoundationCertified.pdf
 
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas SachpazisSeismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
 
CLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference ModalCLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference Modal
 
Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
 
Databricks Generative AI Fundamentals .pdf
Databricks Generative AI Fundamentals  .pdfDatabricks Generative AI Fundamentals  .pdf
Databricks Generative AI Fundamentals .pdf
 
DBMS-Report on Student management system.pptx
DBMS-Report on Student management system.pptxDBMS-Report on Student management system.pptx
DBMS-Report on Student management system.pptx
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptx
 
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
 

PPT-MST (2).pptxgsggggggggggggggggggggggggggggggggghhhs

  • 2. RULES 1. All nonzero digits are significant. EXAMPLE: 1.694 g has 4 significant figures 1.6 g has 2 significant figures.
  • 3. RULES 2. Zeroes in between nonzero digits are considered significant. EXAMPLE: 1005 kg has 4 significant figures 4.07 mL has 3 significant figures.
  • 4. RULES 3. “Leading” zeroes, to the left of the first nonzero digit, are never significant. EXAMPLE: 0.001 C has only 1 significant figure 0.013 g has 2 significant figures.
  • 5. RULES 4. Zeroes to the right of a decimal point in a number are significant. EXAMPLE: 0.029 mL has 2 significant figures 0.700 g has 3 significant figures
  • 6. RULES 5. A number ends in zeroes that are not to the right of a decimal point, the zeroes are not significant. EXAMPLE: 5360.0 has five significant digits, but 5360 has only three 400.0 has four significant digits, but 400 has only one
  • 8. RULE 1 If the digit to be dropped is greater than 5, the last retained digit is increased by one. EXAMPLE: 12.6 is rounded to 13
  • 9. RULE 2 If the digit to be dropped is less than 5, the last remaining digit is left as it is. EXAMPLE: 12.4 is rounded to 12
  • 10. RULE 3 If the digit to be dropped is 5, and if any digit following it is not zero, the last remaining digit is increased by one. EXAMPLE: 12.51 is rounded to 13
  • 11. RULE 4 If the digit to be dropped is 5 and is followed only by zeroes, the last remaining digit is increased by one if it is odd, but left as it is if even. EXAMPLE: 11.5 is rounded to 12 12.5 is rounded to 12
  • 13. SCIENTIFIC NOTATION Standard Form m x 𝟏𝟎𝒏 Coefficient ◾ equal or greater than one, but less than 10 base exponent/power ◾ Can be positive or negative numbers
  • 14. STANDARD FORM 5 x 𝟏𝟎𝟒. 𝟓 2.08 x 𝟏𝟎−𝟐 3.9 x 𝟏𝟎𝟓 11 x 𝟏𝟎𝟏 𝟑 0.9 X 𝟏𝟎𝟐
  • 15. STANDARD FORM 0.7 x 𝟏𝟎 −𝟐 9.34 x 𝟏𝟎𝟓. 𝟓 1 x 𝟏𝟎−𝟏𝟑 YES 4.5 x 𝟏𝟎𝟒 YES N O N O
  • 16. CONVERTING REGULAR NOTATION TO SCIENTIFIC NOTATION 1.Move the decimal point to the right of the first (right-most) non-zero number (NOTE: the exponent must be equal to the number of times you movedthedecimal point). 2. When you move the decimal point to the left, the exponentis positive. 3. When you move the decimal point to the right, the exponentis negative.
  • 17. CONVERT REGULAR NOTATION TO SCIENTIFIC NOTATION Example: 1.Convert 23,000into scientific notation 2.Convert 0.000000023into scientific notation
  • 18. CONVERTING SCIENTIFIC NOTATION TO REGULAR NOTATION 1. If the value of the exponent is positive, remove the power of ten and move the decimal point that value of places to the right. 2. If the value of the exponent is negative, remove the power of ten and move the decimal point that value of places to the left.
  • 20. WHAT IS MEASUREMENT • It refers to the determination of the size or magnitude of something. • It is the comparison of an unknown quantity with a standard quantity of the same rate There are three important factors to consider when making measurements: •accuracy •precision •significant figures
  • 21. PHYSICAL QUANTITY A physical quantity is a characteristic or property of an object that can be measured or calculated from other measurements TWO TYPES • Fundamental Quantities Mass- It is a measure of the amount of matter in a body. Length- It refers to the state,quality or fact of being long. Time- It refers to the number of years, days, minutes, etc., representing such an interval • Derived Quantities Examples:Velocity,Acceleration, Energy
  • 22. SYSTEM OF UNITS  S.I / Metric System – refers to the International System of Units. It provides a complete coherent system of units used for physical quantities. Length – meter (m) Mass - gram (g) Time – second (s  British System – Imperial System Length- inch Mass – pound Time- second
  • 23. • Metric System is accepted worldwide which was originally described as MKS System (Meter-Kilogram- Second) • It is also called the International system of units. • The abbreviation SI comes from the systems French name “Système International.” • In this system, the units of length, mass, and time are the meter, kilogram, and second, respectively. • Other SI standards established by the committee are those for temperature (the kelvin), electric current (the ampere), luminous intensity (the candela), and the amount of substance (the mole).
  • 24.
  • 25. UNITS  A quantity should be always compared with some reference standard in order to measure.  Unit of a physical quantity is defined as the established standard used for comparison of the given physical quantity.  The units in which the fundamental quantities are measured are called fundamental units and;  The units used to measure derived quantities are called derived units.
  • 26. Conversion of Units Some quantities need to be converted because there are some cases that these quantities are found complicated to use in solving a word problem. Conversion Factor The ratio of a quantity stated in one unit to the same quantity stated in another unit.
  • 27.
  • 28. Conversion Factors Length: 1m = 100cm = 1000mm 1km = 1000m = 0.6214mi 1m = 3.281 ft = 39.37 in 1cm = 0.3937in 1in = 2.54cm 1yd = 3ft = 91.44cm 1 ft = 12 in = 30.48 cm 1 mi = 5280 ft = 1.609 km Time: 1 min = 60s 1 hr = 60 min = 3600s 1 day = 24hrs = 86 400s 1 yr = 365 days = 31, 536, 000s 1 yr = 52 weeks = 12 months 1 decade = 10 years 1 score = 20 years 1 century = 100 years 1 millennium = 10 centuries = 1000 years
  • 29. Steps in Converting Units to Another 1. Multiply or divide by the appropriate conversion factor so that the givenunitcancels,leavingthedesiredunitinthefinalresult. Example: How many feet does a car go in a 100-m dash? Conversion factor: 1m = 3.28 ft Solution: 1𝑚 100m x 3.28𝑓𝑡 = 328𝑓 𝑡
  • 30. 2. If such conversion information cannot be found directly from a table, you may use all known conversion factors so that all necessarycancellationsofunitswilltake place. Example: How many centimeters are exactly in a mile? Conversion factors: 1 mile = 1.61 km 1 km = 1000 m 1 m = 100 cm Solutions: 1 mile x 1.61𝑘𝑚 1 𝑚𝑖𝑙𝑒 𝑥 1000𝑚 𝑥 100𝑐𝑚 = 161000𝑐𝑚 1𝑘𝑚 1𝑚
  • 31. HOW TO CONVERT FROM ONE UNIT TO ANOTHER? km hm dam m dm cm mm 0.00 5 0.05 0.5 5 7 70 700 0.2 2 0.06 0.6 6 35 350 3500 35000 Examples: 1.5km = 5000m 2.7m = 700cm 3.2mm =0.2cm 4.6cm =0.06m 5.35hm = 35000dm
  • 32.
  • 33. COMBINATION UNIT CONVERSION Example 1 A jeepney tried to overtake a car. The jeepney moves at 45 km/hour. Convert to meters per second.
  • 34. COMBINATION UNIT CONVERSION Example 2 Judy was traveling by car at a speed of 144 km/h. What is the speed of the car in m/s?
  • 35. COMBINATION UNIT CONVERSION Help Stella determinethe speed in m/s if the given speed is 33 km/h. a. 16.9 m/s b. 9.17 m/s c.8.73 m/s d. 19.24 m/s
  • 36. COMBINATION UNIT CONVERSION Leonard found that train he was travelling in was running at 90 km/h while he was travelling. This speed equals in m/s. a. 19 b. 25 c. 28 d. 29
  • 37. COMBINATION UNIT CONVERSION Isabella understood that 37 km/h is greater than 37 m/s.Is she right? a. True b. false
  • 38. COMBINATION UNIT CONVERSION Which of the following is the fastestof the two options given below? a. 1 km/h b. 1 m/s
  • 40. The weather forecaster says that the probability that it will rain today is 75%. Does it mean that there is a great chance that it will rain today? PROBABILITY
  • 41. WHAT IS PROBABILITY? Probability is used to describe how likely or unlikely it is that something will happen.
  • 43. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN The weather forecaster says that the probability that it will rain today is 75%. Does it mean that there is a great chance that it will rain today? UNLIKELY LIKELY ¾ 0.75 75% LIKELY The event that will rain today is likely to happen.
  • 44. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY CERTAIN UNLIKELY LIKELY IMPOSSIBLE 1.It will snow tomorrow in the Philippines. 2.The sun will rise tomorrow. 3.The likelihood that 2people in every group of 15 will have the same birthday is 8%. 4.Sports’ analyst says that Manny Pacquiao has 85% chance of winning.
  • 45. PROBABILITY P(E) = 𝒇 𝒂 𝒗 𝒐 𝒓 𝒂 𝒃 𝒍 𝒆 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔 𝒂𝒍𝒍 𝒑 𝒐 𝒔 𝒔 𝒊 𝒃 𝒍 𝒆 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔
  • 46.
  • 47. 1. What is the probability of picking red pen out of the box? Answer: 20% It is unlikely to pick red pen out of the box 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY
  • 48. 2. What is the probability of picking blue pens out of the box? Answer: 40% It is unlikely to pick blue out of the box. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY
  • 49. 3. What is the probability of NOT picking red pen out of the box? Answer: 80% It is likely to not pick red out of the box. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY
  • 50.
  • 51. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY 1. What is the probability of landing on 3 or 5? Answer: 1/3 or 0.33 or 33% It is unlikely to land on 3 or 5
  • 52. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY 2. What is the probability of landing on an even number? Answer: 1/2 or 0.5 or 50% It is as likely and as unlikely to land on an even number.
  • 53. 0 0% IMPOSSIBLE ¼ 0.25 25% UNLIKELY ½ 0.5 50% As LIKELY As UNLIKELY 1 100% CERTAIN ¾ 0.75 75% LIKELY 3. What is the probability of landing on 7? Answer: 0% It is impossible to land on 7.
  • 54. PROBLEMS INVOLVING PROBABILITIES 1. A student is chosen from a certain group. There are 9 girls and 8 boys in that group. What is the probability that the chosen student is a boy? Answer: 8/17 or 0.47 or 47%
  • 55. 2. In John’s closet, there are 4 pairs of blue socks, 5 pairs of green, and 2 pairs of white socks, what is the probability that John will get a pair of white socks? Answer: 2/11 or 0.18 or 18%
  • 56. WHAT ARE ODDS? Odds is the ratio of the number of favorable outcomes of the event to the number of unfavorable outcomes in reduced form.
  • 57. HOW DO WE DISPLAY THE ODDS FOR AN EVENT 𝒃 𝒂 or a :b a – number of favorable outcomes b – number of unfavorable outcomes
  • 58. ODDS EXAMPLE: A box contains 4 green balls and 6 red balls. What are the odds of randomly drawing a red ball? SOLUTION: 6 FAVORABLE OUTCOMES 4 UNFAVORABLE OUTCOMES So the Odds are 𝟔 = 𝟑 or 3 : 2 𝟒 𝟐
  • 59.
  • 60. ODDS EXAMPLE 2: What are the odds of randomly drawing a face card from an ordinary full deck of playing cards?
  • 61. ODDS SOLUTION: 40 NOT FACE CARDS 12 FACE CARDS
  • 63. Example: Suppose the odds that the Denver nuggets win the basketball game this year are 2:11. What is the probability that they win the basketball game this year? SOLUTION: Odds are 2:11 Therefore, P(E) = 𝒂 P(Win) = 𝒂+𝒃 𝟐 = 𝟐+𝟏𝟏 𝟐 𝟏 𝟑
  • 64. EXAMPLE: Consider a full-deck of playing cards shown below. What is the probability of randomly drawing an ace? What are the odds of randomly drawing an ace?
  • 65. SOLUTION: P (E) = 𝒂 Probability(Draw an ace) = 𝒂+𝒃 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒂𝒄𝒆𝒔 𝑻𝒐𝒕𝒂𝒍 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒄𝒂𝒓𝒅𝒔 𝒂 𝒃 Odds for drawing an ace = 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒂𝒄𝒆 𝒄𝒂𝒓𝒅𝒔 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐 𝒇 𝒏𝒐𝒕 𝒂𝒄𝒆 𝒄𝒂𝒓𝒅𝒔
  • 67. PROBABILITY OF INDEPENDENT EVENTS Independent Events- refer to the occurrence of one event not affecting the probability of another event.
  • 68. PROBABILITY OF INDEPENDENT EVENTS Formula: P(A B) = P(A) x P(B)
  • 69. PROBABILITY OF INDEPENDENT EVENTS Example: If you roll a six sided die and flip a coin, what is the probability of rolling a five and getting a head?
  • 70. PROBABILITY OF INDEPENDENT EVENTS Example: A die and coin are tossed, what is the probability of getting an even number and a tail?
  • 71. PROBABILITY OF DEPENDENT EVENTS Dependent Events- are two events whose result of the first event affects the outcome of the other event
  • 72. PROBABILITY OF DEPENDENT EVENTS 1. A box contains 3 red marbles, 4 green marbles and 3 blue marbles. One marble is removed from the box, and it is not replaced. Another marble is drawn from the box. What is the probability that the first marble is green, and the second marble is blue.
  • 73. PROBABILITY OF DEPENDENT EVENTS 2. A box of chocolates contains two milk chocolates, five dark chocolates, and three white chocolates. You randomly select and eat three chocolates. Find the probability that you select white chocolate, another white chocolate, and then dark chocolate.
  • 74. PROBABILITY OF DEPENDENT EVENTS 3. A box contains 7 red markers and 3 blue markers. If we randomly select two markers from this box, what is the probability drawing a red marker and then a blue marker, without replacement?
  • 76. PROBABILITY It is a measure that is associated are of with how certainwe outcomes of a particular experiment or activity.
  • 77. EXPERIMENT It is a planned operation carried out under controlled conditions. The result of an experiment is called an outcome.
  • 78. SAMPLE SPACE It is a set of all possible outcomes. 3 ways to represent a sample space, ◾list the possible outcomes ◾ create a tree diagram, ◾ create a Venn diagram uppercase letter S
  • 79. "OR" EVENT The Or Rule states that we can find the probability of either event A or event B occurring by adding the probability of event A and the probability of event B, as long as both events are mutually exclusive: P(A or B) = P(A) + P(B)
  • 80. "OR" EVENT Beth has a fruit basket which contains 4 apples, 4 peaches, and 5 pears. If she randomly selects a piece of fruit, what is the probability that it or is an apple a peach?
  • 81. "OR" EVENT A card is randomly selected from a standard deck of 52 cards. What is or the probability that it is a 10 a face card?
  • 82. "AND" EVENT If we want to find the probability of event A and event B both occurring, we can use the And Rule. The And Rule states that, if event A and event B are independent, then: P(A and B) = P(A) x P(B)
  • 83. "AND" EVENT Jason flips a coin and then rolls a six- sided die. What is the probability that the and coin lands heads up the die shows an
  • 84. "AND" EVENT Alison, a teacher at a middle school has 5 boys and 6 girls in her class. Alison randomly selects 3 different students to walk up and give a presentation. Once the presentation is over the student will leave for the day. What is the probability that the first student is a boy, the second student is a girl, and the third student is also a girl?
  • 85. COMPLEMENT The complement of event A is denoted by A’ (read "A prime"). It consists of all outcomes that are NOT in A. Notice that P(A) + P(A’) = 1. For example, let S = {1, 2, 3, 4, 5, 6} A = {1, 2, 3, 4} Then, A’ = {5, 6}.
  • 86. COMPLEMENT If you pull a random card from a deck of playing cards, what is the probability it is not a heart?