Probability

Probability

Semester 1

Semester 1

Introduction to the skeletal system
Introduction to the muscular system
Anatomical terminology
Anatomy of the breast
Muscles of the thoracic wall
Anatomy clinical correlates: Breast
Introduction to the cranial nerves
Cranial nerve pathways
Anatomy of the thyroid and parathyroid glands
Anatomy of the pelvic girdle
Bones of the vertebral column
Joints of the vertebral column
Muscles of the back
Vessels and nerves of the vertebral column
Anatomy clinical correlates: Bones, joints and muscles of the back
Anatomy clinical correlates: Vertebral canal
Bones of the lower limb
Fascia, vessels and nerves of the lower limb
Anatomy of the anterior and medial thigh
Muscles of the gluteal region and posterior thigh
Vessels and nerves of the gluteal region and posterior thigh
Anatomy of the popliteal fossa
Anatomy of the leg
Anatomy of the foot
Anatomy of the hip joint
Anatomy of the knee joint
Anatomy of the tibiofibular joints
Joints of the ankle and foot
Bones of the upper limb
Fascia, vessels and nerves of the upper limb
Anatomy of the brachial plexus
Anatomy of the pectoral and scapular regions
Anatomy of the arm
Muscles of the forearm
Vessels and nerves of the forearm
Muscles of the hand
Anatomy of the sternoclavicular and acromioclavicular joints
Anatomy of the glenohumeral joint
Anatomy of the elbow joint
Anatomy of the radioulnar joints
Joints of the wrist and hand
Anatomy clinical correlates: Clavicle and shoulder
Anatomy clinical correlates: Axilla
Anatomy clinical correlates: Arm, elbow and forearm
Anatomy clinical correlates: Wrist and hand
Anatomy clinical correlates: Median, ulnar and radial nerves
Suicide
Alcohol use disorder
Glycolysis
Citric acid cycle
Electron transport chain and oxidative phosphorylation
Gluconeogenesis
Glycogen metabolism
Pentose phosphate pathway
Physiological changes during exercise
Amino acid metabolism
Nitrogen and urea cycle
Fatty acid synthesis
Fatty acid oxidation
Ketone body metabolism
Cholesterol metabolism
Pyruvate dehydrogenase deficiency
Glucose-6-phosphate dehydrogenase (G6PD) deficiency
Carbohydrates and sugars
Glycogen storage disease type I
Glycogen storage disease type III
Phenylketonuria (NORD)
Familial hypercholesterolemia
Hypertriglyceridemia
Glycogen storage disorders: Pathology review
Introduction to biostatistics
Probability
Types of data
Hypothesis testing: One-tailed and two-tailed tests
Type I and type II errors
Sensitivity and specificity
Test precision and accuracy
Positive and negative predictive value
Cellular structure and function
Cell membrane
Selective permeability of the cell membrane
Extracellular matrix
Cell-cell junctions
Endocytosis and exocytosis
Osmosis
Resting membrane potential
Nernst equation
Cytoskeleton and intracellular motility
Cell signaling pathways
Zellweger spectrum disorders (NORD)
Adrenoleukodystrophy (NORD)
Ehlers-Danlos syndrome
Osteogenesis imperfecta
Marfan syndrome
Nuclear structure
Transcription of DNA
Gene regulation
Amino acids and protein folding
DNA structure
Translation of mRNA
Epigenetics
Protein structure and synthesis
DNA replication
Nucleotide metabolism
Lac operon
DNA damage and repair
Mitosis and meiosis
Cell cycle
DNA mutations
Adenosine deaminase deficiency
Xeroderma pigmentosum
Purine and pyrimidine synthesis and metabolism disorders: Pathology review
Polymerase chain reaction (PCR) and reverse-transcriptase PCR (RT-PCR)
ELISA (Enzyme-linked immunosorbent assay)
DNA cloning
Gel electrophoresis and genetic testing
Karyotyping
Fluorescence in situ hybridization
Human development days 1-4
Human development days 4-7
Human development week 2
Human development week 3
Ectoderm
Mesoderm
Endoderm
Development of the placenta
Development of the fetal membranes
Hedgehog signaling pathway
Development of the umbilical cord
Development of the axial skeleton
Development of the limbs
Development of the muscular system
Hardy-Weinberg equilibrium
Mendelian genetics and punnett squares
Inheritance patterns
Independent assortment of genes and linkage
Evolution and natural selection
Down syndrome (Trisomy 21)
Edwards syndrome (Trisomy 18)
Patau syndrome (Trisomy 13)
Huntington disease
Turner syndrome
Klinefelter syndrome
Cri du chat syndrome
Achondroplasia
Hereditary spherocytosis
Albinism
Cystic fibrosis
Hemochromatosis
Primary ciliary dyskinesia
Alpha-thalassemia
Beta-thalassemia
Sickle cell disease (NORD)
Hemophilia
Muscular dystrophy
Mitochondrial myopathy
Autosomal trisomies: Pathology review
Muscular dystrophies and mitochondrial myopathies: Pathology review
Miscellaneous genetic disorders: Pathology review
Light microscopy and staining methods
Pituitary gland histology
Thyroid and parathyroid gland histology
Adrenal gland histology
Liver histology
Blood histology
Thymus histology
Spleen histology
Lymph node histology
Skin histology
Bone histology
Skeletal muscle histology
Cartilage histology
Central nervous system histology
Peripheral nervous system histology
Mammary gland histology
Bacterial structure and functions
Viral structure and functions
Pediculus humanus and Phthirus pubis (Lice)
Sarcoptes scabiei (Scabies)
Free radicals and cellular injury
Ischemia
Necrosis and apoptosis
Hypoxia
Amyloidosis
Inflammation
Wound healing
Atrophy, aplasia, and hypoplasia
Hyperplasia and hypertrophy
Metaplasia and dysplasia
Oncogenes and tumor suppressor genes
Conn syndrome
Cushing syndrome
Congenital adrenal hyperplasia
Primary adrenal insufficiency
Hyperaldosteronism
Adrenal cortical carcinoma
Hyperthyroidism
Graves disease
Thyroid storm
Hypothyroidism
Thyroid cancer
Hyperparathyroidism
Hypercalcemia
Hypoparathyroidism
Hypocalcemia
Diabetes mellitus
Hyperpituitarism
Pituitary adenoma
Hyperprolactinemia
Prolactinoma
Gigantism
Acromegaly
Hypopituitarism
Hypoprolactinemia
Diabetes insipidus
Syndrome of inappropriate antidiuretic hormone secretion (SIADH)
Androgen insensitivity syndrome
5-alpha-reductase deficiency
Thyroid nodules and thyroid cancer: Pathology review
Parathyroid disorders and calcium imbalance: Pathology review
Jaundice
Non-alcoholic fatty liver disease
Viral hepatitis
Iron deficiency anemia
Sideroblastic anemia
Anemia of chronic disease
Hemolytic disease of the newborn
Autoimmune hemolytic anemia
Pyruvate kinase deficiency
Aplastic anemia
Megaloblastic anemia
Folate (Vitamin B9) deficiency
Vitamin B12 deficiency
Vitamin K deficiency
Von Willebrand disease
Antithrombin III deficiency
Factor V Leiden
Chronic leukemia
Acute leukemia
Leukemoid reaction
Langerhans cell histiocytosis
Sepsis

Transcript

Watch video only

Content Reviewers

Probability is the chance that an event or outcome will occur, and it’s calculated by dividing the number of times an event happened by the number of times the event could have happened.

For example, let’s say you have one six-sided die and you want to know the probability of rolling a certain number, like a three.

Typically, probability is written with a capital P, and P of A represents the probability of “event A” happening.

In this situation, event A is rolling a 6. Since a die has six sides, there are six possible numbers you could roll, so the probability of rolling a three is 1 divided by 6, or 0.167.

Probability can be written as a decimal or as a percent, so the chance of rolling a three is 0.167 times 100 or 16.7%.

Now, there are eight basic rules in probability.

The first rule states that the probability of event A can range anywhere from 0 - or 0% - to 1 - or 100%.

The larger the probability is, the higher the chance that the event will occur.

The second rule states that the sum of the probabilities of all possible outcomes has to equal 1.

For example, the probability of rolling each side of the die is 0.167, and when we add up 0.167 six times, it equals 1.

Sometimes we might want to find the probability that an event won’t occur - like if we wanted to figure out the probability of not rolling a three.

The probability of an event not occurring is called the complement, and it’s written as the probability of the event, except it has a prime symbol - which is just an apostrophe.

The third rule of probability states that the probability that an event doesn’t occur is 1 minus the probability that it does occur.

So, the probability of not rolling a three is 1 minus 0.167, or 0.833.

Turning that around, it also means that the probability of the event occurring equals 1 minus the complement. This is helpful in situations where we want to figure out the probability that an event occurs, but only know the probability that the event won’t occur.

Rule 4 has to do with finding the probability of two or more events happening, which is called a compound event.

For example, let’s say we want to know the probability of rolling a 3 or rolling a 5. In this case, rolling a three is the first event, or event A, and rolling a 5 is the second event, or event B, so the probability of A or B is a compound event.

Now, there are two types of compound events, and the first type is the union of two events, which is the probability of A or B occurring.

Typically it’s written with the union symbol, which looks like a small U.

In a union of two events, the two events can either be disjoint - or mutually exclusive - or not disjoint - or not mutually exclusive.

So, if event A is rolling a 3 and event B is rolling a 5, then A and B are disjoint events, because it’s impossible to roll a 3 and a 5 number at the same time.

Disjoint events are often represented by two circles - one for event A and one for event B - sitting side by side, with no overlapping area.

Rule 4 is also called the addition rule and it states that the probability of two disjoint events is the sum of the first event plus the second event.

So, the probability of rolling a 3 is 0.167 and the probability of rolling a 5 is 0.167, so the probability of either rolling a 3 or a 5 is 0.167 plus 0.167, or 0.334, or 33.4%.

If two events are not disjoint, then the two events can occur at the same time.

For example, if event A is rolling a number less than or equal to 2 - so rolling a 1 or 2 - and event B is rolling an even number, then A and B are not disjoint events, because it’s possible to roll a 2, which is an even number that’s less than or equal to 2.

Not disjoint events are often represented by two overlapping circles, and the overlapping area is the probability of both events occurring at the same time.

In this example, the overlapping area is the probability of rolling a 2; the non-overlapping area in circle A is the probability of rolling a 1 - which is a number that is less than or equal to 2, but not an even number; and the non-overlapping area in circle B is the probability of rolling a 4 or 6, which are even numbers but not numbers that are less than or equal to 2.

It’s a bit more complicated to calculate the probability for not disjoint events because you have to take into account the overlapping area. So let’s break it down.

The probability of rolling a number less than or equal to 2 is 2 over 6, or 0.33, and the probability of rolling an even number - so a 2, 4, or 6 - is 3 over 6, or 0.5. If we use the basic addition rule, the probability of events A or B is 0.33 plus 0.5, which is 0.83 - or 83%.

But this number is actually higher than the true probability for events A or B, because the overlapping area is counted twice.

To fix this, we need to subtract the probability of the overlapping area from the sum of the two individual probabilities.

So Rule 5 states that the probability for two not disjoint events equals the sum of the probability of event A and the probability of event B, minus the probability of event A and B together.

For example, let’s say the probability of rolling an even number that’s less than or equal to 2 is 0.167. If the probability of event A is 0.33 and the probability of event B is 0.5, then the probability of event A or event B occurring is 0.33 plus 0.5 minus 0.167, which equals 0.663, or 66.3%.

One important thing to notice is that the addition rule for disjoint events is actually the same as the addition rule for not disjoint events - except with disjoint events there is no overlapping area so you just subtract 0, and this part isn’t usually included in the equation.

Now let’s switch gears and talk about the situation when you want to figure out the probability that both event A and event B will occur - or in other words, the probability of the overlapping area. This is the intersection of two events, and it’s the second type of compound event.

Typically, the intersection of two events is written with an intersection symbol, which looks like an upside down U.