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![biology - #PragyaNofebook DATE PAGE Revieion Test Mi - ३५ uile Ihe role x4 304 iPlacenta / Oxylosin ii ) Umbelical cofd LH Pekne_[ulosin Ailh Aialle eanble. 213 =06 Homdoouun Siஉ gumelll ii)_chain Fuxlional Giab wing diagan rilctpupagatin khat Exblain AD 3 ? u xanblల: cheiQl Llud] 4) ~llacsid] Exblain cambnudh_bu 74 06 23 a) kMuo4 ம ah ల = AeN ٥) #؟٥4 get s) NiIA ^_ அeபபg sodb. Llut_Atab dennim: oklon not Exbdin Hatd t4 ப &_H3coo _ prpertiez &#soH chditicol Ilacl Exllain 3 Recon Give Ceo^_tane_ 2^5 210 Soluiatool _ Kdpocarbw யரhி burA১_ 0) Taxlc CHzO A Pure 04 ৮) B1z @ಯtL duu C2H4 dndlad conteAtad Um Il CஉH5OH Juಸ wino_ ch4o2_ ಸe೦ e) Butel #PragyaNofebook DATE PAGE Revieion Test Mi - ३५ uile Ihe role x4 304 iPlacenta / Oxylosin ii ) Umbelical cofd LH Pekne_[ulosin Ailh Aialle eanble. 213 =06 Homdoouun Siஉ gumelll ii)_chain Fuxlional Giab wing diagan rilctpupagatin khat Exblain AD 3 ? u xanblల: cheiQl Llud] 4) ~llacsid] Exblain cambnudh_bu 74 06 23 a) kMuo4 ம ah ల = AeN ٥) #؟٥4 get s) NiIA ^_ அeபபg sodb. Llut_Atab dennim: oklon not Exbdin Hatd t4 ப &_H3coo _ prpertiez &#soH chditicol Ilacl Exllain 3 Recon Give Ceo^_tane_ 2^5 210 Soluiatool _ Kdpocarbw யரhி burA১_ 0) Taxlc CHzO A Pure 04 ৮) B1z @ಯtL duu C2H4 dndlad conteAtad Um Il CஉH5OH Juಸ wino_ ch4o2_ ಸe೦ e) Butel - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_71833_2ac36666_1776654049175_sc_rotated.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=otated.jpg "biology - #PragyaNofebook DATE PAGE Revieion Test Mi - ३५ uile Ihe role x4 304 iPlacenta / Oxylosin ii ) Umbelical cofd LH Pekne_[ulosin Ailh Aialle eanble. 213 =06 Homdoouun Siஉ gumelll ii)_chain Fuxlional Giab wing diagan rilctpupagatin khat Exblain AD 3 ? u xanblల: cheiQl Llud] 4) ~llacsid] Exblain cambnudh_bu 74 06 23 a) kMuo4 ம ah ల = AeN ٥) #؟٥4 get s) NiIA ^_ அeபபg sodb. Llut_Atab dennim: oklon not Exbdin Hatd t4 ப &_H3coo _ prpertiez &#soH chditicol Ilacl Exllain 3 Recon Give Ceo^_tane_ 2^5 210 Soluiatool _ Kdpocarbw யரhி burA১_ 0) Taxlc CHzO A Pure 04 ৮) B1z @ಯtL duu C2H4 dndlad conteAtad Um Il CஉH5OH Juಸ wino_ ch4o2_ ಸe೦ e) Butel #PragyaNofebook DATE PAGE Revieion Test Mi - ३५ uile Ihe role x4 304 iPlacenta / Oxylosin ii ) Umbelical cofd LH Pekne_[ulosin Ailh Aialle eanble. 213 =06 Homdoouun Siஉ gumelll ii)_chain Fuxlional Giab wing diagan rilctpupagatin khat Exblain AD 3 ? u xanblల: cheiQl Llud] 4) ~llacsid] Exblain cambnudh_bu 74 06 23 a) kMuo4 ம ah ల = AeN ٥) #؟٥4 get s) NiIA ^_ அeபபg sodb. Llut_Atab dennim: oklon not Exbdin Hatd t4 ப &_H3coo _ prpertiez &#soH chditicol Ilacl Exllain 3 Recon Give Ceo^_tane_ 2^5 210 Soluiatool _ Kdpocarbw யரhி burA১_ 0) Taxlc CHzO A Pure 04 ৮) B1z @ಯtL duu C2H4 dndlad conteAtad Um Il CஉH5OH Juಸ wino_ ch4o2_ ಸe೦ e) Butel - ShareChat")
![english - PASSIVE PART 3 VOICE Present Simple Tense Active_Voice_(Present_Simple) verb (sles) + object Present Simple Active Voice Subject + ೧೦೫ Ram writes letter She cleans Che room They plqy (ricket (Present_Simple) Passive Voice (3rd Present Simple Passive Voice : Object + islamjare + verb formy letter written by Ram A is The is cleaned by her room Cricket is_plgyed_by them Change Process (Very Clear) letter Ram Active writes Passive 0 letter_is_written_by_Ram] A 3rform Object Subject Verb % Helping Verb Rule singular object Use 1S = plural object are (rare_in_passive) with T am eaten daily Apples are Warning Common Beginner Do NOT forget is am Lare 4 form 3rd verb_in A letter written by Ram written by Ram . 4A letter' is Final Memory Box is / qm / qre Present Simple Passive V3 + ~ PASSIVE PART 3 VOICE Present Simple Tense Active_Voice_(Present_Simple) verb (sles) + object Present Simple Active Voice Subject + ೧೦೫ Ram writes letter She cleans Che room They plqy (ricket (Present_Simple) Passive Voice (3rd Present Simple Passive Voice : Object + islamjare + verb formy letter written by Ram A is The is cleaned by her room Cricket is_plgyed_by them Change Process (Very Clear) letter Ram Active writes Passive 0 letter_is_written_by_Ram] A 3rform Object Subject Verb % Helping Verb Rule singular object Use 1S = plural object are (rare_in_passive) with T am eaten daily Apples are Warning Common Beginner Do NOT forget is am Lare 4 form 3rd verb_in A letter written by Ram written by Ram . 4A letter' is Final Memory Box is / qm / qre Present Simple Passive V3 + ~ - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_718114_20838b68_1776646716754_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=754_sc.jpg "english - PASSIVE PART 3 VOICE Present Simple Tense Active_Voice_(Present_Simple) verb (sles) + object Present Simple Active Voice Subject + ೧೦೫ Ram writes letter She cleans Che room They plqy (ricket (Present_Simple) Passive Voice (3rd Present Simple Passive Voice : Object + islamjare + verb formy letter written by Ram A is The is cleaned by her room Cricket is_plgyed_by them Change Process (Very Clear) letter Ram Active writes Passive 0 letter_is_written_by_Ram] A 3rform Object Subject Verb % Helping Verb Rule singular object Use 1S = plural object are (rare_in_passive) with T am eaten daily Apples are Warning Common Beginner Do NOT forget is am Lare 4 form 3rd verb_in A letter written by Ram written by Ram . 4A letter' is Final Memory Box is / qm / qre Present Simple Passive V3 + ~ PASSIVE PART 3 VOICE Present Simple Tense Active_Voice_(Present_Simple) verb (sles) + object Present Simple Active Voice Subject + ೧೦೫ Ram writes letter She cleans Che room They plqy (ricket (Present_Simple) Passive Voice (3rd Present Simple Passive Voice : Object + islamjare + verb formy letter written by Ram A is The is cleaned by her room Cricket is_plgyed_by them Change Process (Very Clear) letter Ram Active writes Passive 0 letter_is_written_by_Ram] A 3rform Object Subject Verb % Helping Verb Rule singular object Use 1S = plural object are (rare_in_passive) with T am eaten daily Apples are Warning Common Beginner Do NOT forget is am Lare 4 form 3rd verb_in A letter written by Ram written by Ram . 4A letter' is Final Memory Box is / qm / qre Present Simple Passive V3 + ~ - ShareChat")
![Math formula - Sets & Relations Complefe Formulas १. SETS BASIC DEFINITIONS 2. TYPES OF SETS Set: A well-defined collection of objects: Empty Null sef = only one element Singleton set Element: An object belonging to sef 2 Finite set belongs to A a € A Infinite set belong does nof To A U a#A Universal sef Equal sets Equivalenf sefs 3. SUBSETS ASB -> A is Q subsef of B 4. POWER SET Power set P(A) = set of all subsets of A A is a proper subset of B A subsef B ) elements, Then |P(A)| = 2" Number of subsets of a set with n If A has 2n elements 6. PROPERTIES OF SET OPERATIONS 5. OPERATIONS ON SETS Commufqfive Iqws: AUB = BUA Union: AUB = {x : x E A or x & B} An B = BnA Intersection: AnB = {x:x eA and xeB} Associafive laws: (AUB)UC = AU(BUc) Difference: A - B = {x : x E A ond x E B} (AnB)nc=An(Bnc) Complement: A = U - A Disfribufive laws: Au(Bnc) = (AUB)n(Auc) An(BUC) = (AnB)U(AnC) Idenfify laws: AU0 = A AnU = A 7 DE MORGANS LAWS AUB) = AnB' 8. VENN DIAGRAM RESULTS (An B)' = A'UB' n(AUB) = n(A) + n(B) - n(AnB) n(A)+n(B)+n(C)-n(An B) n(AUBUC) n(Bnc) -n(CnA)+n(AnBnc) १०. TYPES OF RELATIONS ११. EQUIVALENCE RELATION 9. RELATIONS A relation R is an equivalence] A relation R from set A to set B Reflexive relqtion if it is: Symmetric subset of A x B is Reflexive Number of relafions from A fo B Symmetric Tronsitive Transitive 2nm (where n = elements in A, elements in B) m Sets & Relations Complefe Formulas १. SETS BASIC DEFINITIONS 2. TYPES OF SETS Set: A well-defined collection of objects: Empty Null sef = only one element Singleton set Element: An object belonging to sef 2 Finite set belongs to A a € A Infinite set belong does nof To A U a#A Universal sef Equal sets Equivalenf sefs 3. SUBSETS ASB -> A is Q subsef of B 4. POWER SET Power set P(A) = set of all subsets of A A is a proper subset of B A subsef B ) elements, Then |P(A)| = 2" Number of subsets of a set with n If A has 2n elements 6. PROPERTIES OF SET OPERATIONS 5. OPERATIONS ON SETS Commufqfive Iqws: AUB = BUA Union: AUB = {x : x E A or x & B} An B = BnA Intersection: AnB = {x:x eA and xeB} Associafive laws: (AUB)UC = AU(BUc) Difference: A - B = {x : x E A ond x E B} (AnB)nc=An(Bnc) Complement: A = U - A Disfribufive laws: Au(Bnc) = (AUB)n(Auc) An(BUC) = (AnB)U(AnC) Idenfify laws: AU0 = A AnU = A 7 DE MORGANS LAWS AUB) = AnB' 8. VENN DIAGRAM RESULTS (An B)' = A'UB' n(AUB) = n(A) + n(B) - n(AnB) n(A)+n(B)+n(C)-n(An B) n(AUBUC) n(Bnc) -n(CnA)+n(AnBnc) १०. TYPES OF RELATIONS ११. EQUIVALENCE RELATION 9. RELATIONS A relation R is an equivalence] A relation R from set A to set B Reflexive relqtion if it is: Symmetric subset of A x B is Reflexive Number of relafions from A fo B Symmetric Tronsitive Transitive 2nm (where n = elements in A, elements in B) m - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_929940_255ad297_1776574928671_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=671_sc.jpg "Math formula - Sets & Relations Complefe Formulas १. SETS BASIC DEFINITIONS 2. TYPES OF SETS Set: A well-defined collection of objects: Empty Null sef = only one element Singleton set Element: An object belonging to sef 2 Finite set belongs to A a € A Infinite set belong does nof To A U a#A Universal sef Equal sets Equivalenf sefs 3. SUBSETS ASB -> A is Q subsef of B 4. POWER SET Power set P(A) = set of all subsets of A A is a proper subset of B A subsef B ) elements, Then |P(A)| = 2\" Number of subsets of a set with n If A has 2n elements 6. PROPERTIES OF SET OPERATIONS 5. OPERATIONS ON SETS Commufqfive Iqws: AUB = BUA Union: AUB = {x : x E A or x & B} An B = BnA Intersection: AnB = {x:x eA and xeB} Associafive laws: (AUB)UC = AU(BUc) Difference: A - B = {x : x E A ond x E B} (AnB)nc=An(Bnc) Complement: A = U - A Disfribufive laws: Au(Bnc) = (AUB)n(Auc) An(BUC) = (AnB)U(AnC) Idenfify laws: AU0 = A AnU = A 7 DE MORGANS LAWS AUB) = AnB' 8. VENN DIAGRAM RESULTS (An B)' = A'UB' n(AUB) = n(A) + n(B) - n(AnB) n(A)+n(B)+n(C)-n(An B) n(AUBUC) n(Bnc) -n(CnA)+n(AnBnc) १०. TYPES OF RELATIONS ११. EQUIVALENCE RELATION 9. RELATIONS A relation R is an equivalence] A relation R from set A to set B Reflexive relqtion if it is: Symmetric subset of A x B is Reflexive Number of relafions from A fo B Symmetric Tronsitive Transitive 2nm (where n = elements in A, elements in B) m Sets & Relations Complefe Formulas १. SETS BASIC DEFINITIONS 2. TYPES OF SETS Set: A well-defined collection of objects: Empty Null sef = only one element Singleton set Element: An object belonging to sef 2 Finite set belongs to A a € A Infinite set belong does nof To A U a#A Universal sef Equal sets Equivalenf sefs 3. SUBSETS ASB -> A is Q subsef of B 4. POWER SET Power set P(A) = set of all subsets of A A is a proper subset of B A subsef B ) elements, Then |P(A)| = 2\" Number of subsets of a set with n If A has 2n elements 6. PROPERTIES OF SET OPERATIONS 5. OPERATIONS ON SETS Commufqfive Iqws: AUB = BUA Union: AUB = {x : x E A or x & B} An B = BnA Intersection: AnB = {x:x eA and xeB} Associafive laws: (AUB)UC = AU(BUc) Difference: A - B = {x : x E A ond x E B} (AnB)nc=An(Bnc) Complement: A = U - A Disfribufive laws: Au(Bnc) = (AUB)n(Auc) An(BUC) = (AnB)U(AnC) Idenfify laws: AU0 = A AnU = A 7 DE MORGANS LAWS AUB) = AnB' 8. VENN DIAGRAM RESULTS (An B)' = A'UB' n(AUB) = n(A) + n(B) - n(AnB) n(A)+n(B)+n(C)-n(An B) n(AUBUC) n(Bnc) -n(CnA)+n(AnBnc) १०. TYPES OF RELATIONS ११. EQUIVALENCE RELATION 9. RELATIONS A relation R is an equivalence] A relation R from set A to set B Reflexive relqtion if it is: Symmetric subset of A x B is Reflexive Number of relafions from A fo B Symmetric Tronsitive Transitive 2nm (where n = elements in A, elements in B) m - ShareChat")
![math - Differentidl Equdtions Complefe Formulas DIFFERENTIAL EQUATION 2. ORDER & DEGREE DEFINITION 1 An equafion involving derivafives of a highesf order derivafive presenf Order dependent variable with respect to an power of highest order Degree derivative (when equation is polynomial | independent vqriqble is cqlled differenfiql equqtion . in derivatives) FORMATION OF DIFFERENTIAL EQUATION 3. GENERAL & PARTICULAR SOLUTION Eliminate arbitrary constants from the Generql solufion contains arbitrary given equation to form the differential constant(s) equarion. obfained by Particular solution assigning specific values to constants HOMOGENEOUS DIFFERENTIAL EQUATION 5. VARIABLES SEPARABLE FORM 6. A differenfial equafion of Ihe form: If equation is of the form: dx | f(x) g(y) dx =F(X) (gt)dy f(x) dx Then; Put ٧ VX dx d = v + * Infegrafe bofh sides 8. BERNOULLIS DIFFERENTIAL EQUATION ७. LINEAR DIFFERENTIAL EQUATION (LDE) Form : Standard form: Py Qy Py = Q efP dx Infegrafing Facfor (IF): Divide by Y and convert into linear IF = form. ((Q *IF) dx + C Solution : ٧ x I٤ 10. ORTHOGONAL TRAJECTORIES (BASIC IDEA) 9. EXACT DIFFERENTIAL EQUATION dy Slope Mdx + Ndy Given: 0 of curve dx M N Condition for exactness of orfhogonal frajecfory Slope y 0x dx Solution obtained by integrating M with] respect to * and N with respect to Y 12. IMPORTANT POINTS ll. IMPORTANT STANDARD RESULTS Every differential equation has dX = X + C infinitely many solutions Xn+1 xn dx గ+1 + C particular Inifial condifions give J ex d ' e* + C solution xdx = Inlxl + C Integration constant is compulsory Differentidl Equdtions Complefe Formulas DIFFERENTIAL EQUATION 2. ORDER & DEGREE DEFINITION 1 An equafion involving derivafives of a highesf order derivafive presenf Order dependent variable with respect to an power of highest order Degree derivative (when equation is polynomial | independent vqriqble is cqlled differenfiql equqtion . in derivatives) FORMATION OF DIFFERENTIAL EQUATION 3. GENERAL & PARTICULAR SOLUTION Eliminate arbitrary constants from the Generql solufion contains arbitrary given equation to form the differential constant(s) equarion. obfained by Particular solution assigning specific values to constants HOMOGENEOUS DIFFERENTIAL EQUATION 5. VARIABLES SEPARABLE FORM 6. A differenfial equafion of Ihe form: If equation is of the form: dx | f(x) g(y) dx =F(X) (gt)dy f(x) dx Then; Put ٧ VX dx d = v + * Infegrafe bofh sides 8. BERNOULLIS DIFFERENTIAL EQUATION ७. LINEAR DIFFERENTIAL EQUATION (LDE) Form : Standard form: Py Qy Py = Q efP dx Infegrafing Facfor (IF): Divide by Y and convert into linear IF = form. ((Q *IF) dx + C Solution : ٧ x I٤ 10. ORTHOGONAL TRAJECTORIES (BASIC IDEA) 9. EXACT DIFFERENTIAL EQUATION dy Slope Mdx + Ndy Given: 0 of curve dx M N Condition for exactness of orfhogonal frajecfory Slope y 0x dx Solution obtained by integrating M with] respect to * and N with respect to Y 12. IMPORTANT POINTS ll. IMPORTANT STANDARD RESULTS Every differential equation has dX = X + C infinitely many solutions Xn+1 xn dx గ+1 + C particular Inifial condifions give J ex d ' e* + C solution xdx = Inlxl + C Integration constant is compulsory - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_765092_d1d6905_1776566763872_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=872_sc.jpg "math - Differentidl Equdtions Complefe Formulas DIFFERENTIAL EQUATION 2. ORDER & DEGREE DEFINITION 1 An equafion involving derivafives of a highesf order derivafive presenf Order dependent variable with respect to an power of highest order Degree derivative (when equation is polynomial | independent vqriqble is cqlled differenfiql equqtion . in derivatives) FORMATION OF DIFFERENTIAL EQUATION 3. GENERAL & PARTICULAR SOLUTION Eliminate arbitrary constants from the Generql solufion contains arbitrary given equation to form the differential constant(s) equarion. obfained by Particular solution assigning specific values to constants HOMOGENEOUS DIFFERENTIAL EQUATION 5. VARIABLES SEPARABLE FORM 6. A differenfial equafion of Ihe form: If equation is of the form: dx | f(x) g(y) dx =F(X) (gt)dy f(x) dx Then; Put ٧ VX dx d = v + * Infegrafe bofh sides 8. BERNOULLIS DIFFERENTIAL EQUATION ७. LINEAR DIFFERENTIAL EQUATION (LDE) Form : Standard form: Py Qy Py = Q efP dx Infegrafing Facfor (IF): Divide by Y and convert into linear IF = form. ((Q *IF) dx + C Solution : ٧ x I٤ 10. ORTHOGONAL TRAJECTORIES (BASIC IDEA) 9. EXACT DIFFERENTIAL EQUATION dy Slope Mdx + Ndy Given: 0 of curve dx M N Condition for exactness of orfhogonal frajecfory Slope y 0x dx Solution obtained by integrating M with] respect to * and N with respect to Y 12. IMPORTANT POINTS ll. IMPORTANT STANDARD RESULTS Every differential equation has dX = X + C infinitely many solutions Xn+1 xn dx గ+1 + C particular Inifial condifions give J ex d ' e* + C solution xdx = Inlxl + C Integration constant is compulsory Differentidl Equdtions Complefe Formulas DIFFERENTIAL EQUATION 2. ORDER & DEGREE DEFINITION 1 An equafion involving derivafives of a highesf order derivafive presenf Order dependent variable with respect to an power of highest order Degree derivative (when equation is polynomial | independent vqriqble is cqlled differenfiql equqtion . in derivatives) FORMATION OF DIFFERENTIAL EQUATION 3. GENERAL & PARTICULAR SOLUTION Eliminate arbitrary constants from the Generql solufion contains arbitrary given equation to form the differential constant(s) equarion. obfained by Particular solution assigning specific values to constants HOMOGENEOUS DIFFERENTIAL EQUATION 5. VARIABLES SEPARABLE FORM 6. A differenfial equafion of Ihe form: If equation is of the form: dx | f(x) g(y) dx =F(X) (gt)dy f(x) dx Then; Put ٧ VX dx d = v + * Infegrafe bofh sides 8. BERNOULLIS DIFFERENTIAL EQUATION ७. LINEAR DIFFERENTIAL EQUATION (LDE) Form : Standard form: Py Qy Py = Q efP dx Infegrafing Facfor (IF): Divide by Y and convert into linear IF = form. ((Q *IF) dx + C Solution : ٧ x I٤ 10. ORTHOGONAL TRAJECTORIES (BASIC IDEA) 9. EXACT DIFFERENTIAL EQUATION dy Slope Mdx + Ndy Given: 0 of curve dx M N Condition for exactness of orfhogonal frajecfory Slope y 0x dx Solution obtained by integrating M with] respect to * and N with respect to Y 12. IMPORTANT POINTS ll. IMPORTANT STANDARD RESULTS Every differential equation has dX = X + C infinitely many solutions Xn+1 xn dx గ+1 + C particular Inifial condifions give J ex d ' e* + C solution xdx = Inlxl + C Integration constant is compulsory - ShareChat")
![English# - SADVERB CoMPARISON TYPES - 44ು 7ೇು %ು DEEINITION _*3 An adverb is a word that describes a verbl or_another_adverbl adjective , TYPES OEADVERBS 0~0 ~೦ 0 1 ADVERB OF MANNER Meaning Tells how on oction is done quickly , slowly , neatly Examples 2 ADVERB OF TIME action happens Meaning Tells when an todayz yesterday] Examples now, 3.ADVERBOE_PLACE Meaning Tells where an action happens there outside here Examples 4.ADVERB OF FREQUENCY Meaning] how often Tells > always , often , never Examples 5ADVERB OF DEGREE Shows how much or to What extent Meaning too , quite Examples very_ DEGREES_OF ADVERBAAAAAA fast Positive_Degree] Example Comparative_Degree Example faster fastest Superlative Degree Example Irregulor Forms well better best S worst badly worse Adverbs modify verbs, adjectives, or other adverbs ` SADVERB CoMPARISON TYPES - 44ು 7ೇು %ು DEEINITION _*3 An adverb is a word that describes a verbl or_another_adverbl adjective , TYPES OEADVERBS 0~0 ~೦ 0 1 ADVERB OF MANNER Meaning Tells how on oction is done quickly , slowly , neatly Examples 2 ADVERB OF TIME action happens Meaning Tells when an todayz yesterday] Examples now, 3.ADVERBOE_PLACE Meaning Tells where an action happens there outside here Examples 4.ADVERB OF FREQUENCY Meaning] how often Tells > always , often , never Examples 5ADVERB OF DEGREE Shows how much or to What extent Meaning too , quite Examples very_ DEGREES_OF ADVERBAAAAAA fast Positive_Degree] Example Comparative_Degree Example faster fastest Superlative Degree Example Irregulor Forms well better best S worst badly worse Adverbs modify verbs, adjectives, or other adverbs ` - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_265879_1acca8e2_1776538264051_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=051_sc.jpg "English# - SADVERB CoMPARISON TYPES - 44ು 7ೇು %ು DEEINITION _*3 An adverb is a word that describes a verbl or_another_adverbl adjective , TYPES OEADVERBS 0~0 ~೦ 0 1 ADVERB OF MANNER Meaning Tells how on oction is done quickly , slowly , neatly Examples 2 ADVERB OF TIME action happens Meaning Tells when an todayz yesterday] Examples now, 3.ADVERBOE_PLACE Meaning Tells where an action happens there outside here Examples 4.ADVERB OF FREQUENCY Meaning] how often Tells > always , often , never Examples 5ADVERB OF DEGREE Shows how much or to What extent Meaning too , quite Examples very_ DEGREES_OF ADVERBAAAAAA fast Positive_Degree] Example Comparative_Degree Example faster fastest Superlative Degree Example Irregulor Forms well better best S worst badly worse Adverbs modify verbs, adjectives, or other adverbs ` SADVERB CoMPARISON TYPES - 44ು 7ೇು %ು DEEINITION _*3 An adverb is a word that describes a verbl or_another_adverbl adjective , TYPES OEADVERBS 0~0 ~೦ 0 1 ADVERB OF MANNER Meaning Tells how on oction is done quickly , slowly , neatly Examples 2 ADVERB OF TIME action happens Meaning Tells when an todayz yesterday] Examples now, 3.ADVERBOE_PLACE Meaning Tells where an action happens there outside here Examples 4.ADVERB OF FREQUENCY Meaning] how often Tells > always , often , never Examples 5ADVERB OF DEGREE Shows how much or to What extent Meaning too , quite Examples very_ DEGREES_OF ADVERBAAAAAA fast Positive_Degree] Example Comparative_Degree Example faster fastest Superlative Degree Example Irregulor Forms well better best S worst badly worse Adverbs modify verbs, adjectives, or other adverbs ` - ShareChat")
![english - MISTAKES PART 5 COMMON TENSE Past Simple Continuous Past VS X COMMON WRONG SENTENCES X1 playing football yesterdgy was watching TV (ast night x She was studying two We hours 090, were / CORRECT SENTENCES V football gesterday I played TV (ast) night; She watched We studied two hours 090 ? WHY STUDENTS MAKE THIS MISTAKE ing Students think : Past action = use was/were + thinking is wrong This / CORRECT_RULE (VERY SIMPLE) completed] Past Simple action past action going time Past Continuous on at past 0 ~ last night / ago yesterday Past Simple while / at that time when Past Continuous QUICK MEMORY TRICK SIMPLE FINISHED ACTION {ಕ CONTINUOUS ACTION IN PROGRESS {ಕಿ FINAL WARNING BOX Do NOT use Past Continuous for single completed actions | past MISTAKES PART 5 COMMON TENSE Past Simple Continuous Past VS X COMMON WRONG SENTENCES X1 playing football yesterdgy was watching TV (ast night x She was studying two We hours 090, were / CORRECT SENTENCES V football gesterday I played TV (ast) night; She watched We studied two hours 090 ? WHY STUDENTS MAKE THIS MISTAKE ing Students think : Past action = use was/were + thinking is wrong This / CORRECT_RULE (VERY SIMPLE) completed] Past Simple action past action going time Past Continuous on at past 0 ~ last night / ago yesterday Past Simple while / at that time when Past Continuous QUICK MEMORY TRICK SIMPLE FINISHED ACTION {ಕ CONTINUOUS ACTION IN PROGRESS {ಕಿ FINAL WARNING BOX Do NOT use Past Continuous for single completed actions | past - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_94356_2b342dcc_1776498077308_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=308_sc.jpg "english - MISTAKES PART 5 COMMON TENSE Past Simple Continuous Past VS X COMMON WRONG SENTENCES X1 playing football yesterdgy was watching TV (ast night x She was studying two We hours 090, were / CORRECT SENTENCES V football gesterday I played TV (ast) night; She watched We studied two hours 090 ? WHY STUDENTS MAKE THIS MISTAKE ing Students think : Past action = use was/were + thinking is wrong This / CORRECT_RULE (VERY SIMPLE) completed] Past Simple action past action going time Past Continuous on at past 0 ~ last night / ago yesterday Past Simple while / at that time when Past Continuous QUICK MEMORY TRICK SIMPLE FINISHED ACTION {ಕ CONTINUOUS ACTION IN PROGRESS {ಕಿ FINAL WARNING BOX Do NOT use Past Continuous for single completed actions | past MISTAKES PART 5 COMMON TENSE Past Simple Continuous Past VS X COMMON WRONG SENTENCES X1 playing football yesterdgy was watching TV (ast night x She was studying two We hours 090, were / CORRECT SENTENCES V football gesterday I played TV (ast) night; She watched We studied two hours 090 ? WHY STUDENTS MAKE THIS MISTAKE ing Students think : Past action = use was/were + thinking is wrong This / CORRECT_RULE (VERY SIMPLE) completed] Past Simple action past action going time Past Continuous on at past 0 ~ last night / ago yesterday Past Simple while / at that time when Past Continuous QUICK MEMORY TRICK SIMPLE FINISHED ACTION {ಕ CONTINUOUS ACTION IN PROGRESS {ಕಿ FINAL WARNING BOX Do NOT use Past Continuous for single completed actions | past - ShareChat")
