Question
Given, "If I have a Siberian Husky, then I have a dog." Identify the conclusion.
- If I have a Siberian Husky.
- I have a Siberian Husky.
- Then I have a dog.
- I have a dog.
The correct answer is: I have a dog.
The conclusion of the above question will be
I have a dog.
Related Questions to study
Given, "If I have a Siberian Husky, then I have a dog." Identify the hypothesis.
Given, "If I have a Siberian Husky, then I have a dog." Identify the hypothesis.
Given, "If I have a Siberian Husky, then I have a dog." Identify the contrapositive.
Given, "If I have a Siberian Husky, then I have a dog." Identify the contrapositive.
Given, "If I have a Siberian Husky, then I have a dog." Identify the inverse.
Given, "If I have a Siberian Husky, then I have a dog." Identify the inverse.
Given, "If I have a Siberian Husky, then I have a dog." Identify the converse.
Given, "If I have a Siberian Husky, then I have a dog." Identify the converse.
Complete using one of the choices below: If two planes have two common points
𝐴 and 𝐵, then they ______.
Note that if two given planes intersect, then they always intersect at a straight line.
Therefore, if the two planes have two common points 𝐴 and 𝐵, then they intersect at line AB.
Complete using one of the choices below: If two planes have two common points
𝐴 and 𝐵, then they ______.
Note that if two given planes intersect, then they always intersect at a straight line.
Therefore, if the two planes have two common points 𝐴 and 𝐵, then they intersect at line AB.
What does it mean for two lines to be considered skew?
Note that two lines that lie on two different planes may also be parallel.
What does it mean for two lines to be considered skew?
Note that two lines that lie on two different planes may also be parallel.
Which of the following statements is true about the two planes?
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)
Which of the following statements is true about the two planes?
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANIAAADNCAYAAADNGS4MAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AABD9SURBVHhe7d35bxbVHgbw+2eYGOIv/nhjTFQ0YVEpBVpEWqC0pUCB0loWEctuW1AjAqIlLNKqZZUu7GAAY40Qw1JbXEpVZGuhgCJbXECoRfnePvOeSbi1LTPznpk5r+/zSSaXM+gN96YPc75n/Y8QUdQYJCINGCQiDRgkIg0YJCINjAjSlStXpKamRvbt28eHj3HPgQMH5NKlS+qntXNGBGnu3LmSmJgoc+bMkRkzZvDhY8yDn8nHH39c9uzZo35aOxd6kNra2mTIkCHy9ddfqzdEZsnMzJQzZ86oVudCD9Lp06clOTlZbt26pd4QmaOhoUHGjh0rf//9t3rTudCDVFFRIRMmTFAtIrOUlZVJYWGhanUt9CAVFBRYf1giE02fPl12796tWl0LNUioj1JSUqSurk69ITLHzZs3ZcSIEdLc3KzedC3UIDU1NcngwYPl9u3b6g2ROb755hvJzs5Wre6FGiTURzk5OapFZBan9RGEGiTUR6tXr1YtIrO89NJLjuojCC1IqI+GDh3K+oiM9Mcff8jw4cOt8sOJ0IKECa6kpCRpbW1Vb4jMgQUCmD9yKrQgbdq0SSZOnKhaRGZxUx9BaEFifUQmmzZtmuzatUu17i+UIN25c8eqj+rr69UbInNguRrmj5zWRxBKkPAHxPo61kdkIrf1EYQSJMwf5eXlqRaRWd5//30pLi5WLWdCCRL2ebA+IlO5rY8g8CD99ddfrI/IWKiP0tLSHK2vu1fgQbLnj7i+jkz05ZdfSlZWlmo5F3iQMH+Um5urWkRmQX1UVFSkWs4FHiTUR6tWrVItIrNMnTpVtm/frlrOBRokbNfF/qOjR4+qN0TmQLkxcuRIOXv2rHrjXKBBQn2E+SPWR2Qi1EejRo1SLXcCDVJlZaW88MILqkVklvLyclmwYIFquRNokFgfkcmmTJki27ZtUy13AgvS3bt3WR+RsVBupKeny7lz59QbdwILEs6vw/wRNkwRmQb1UUZGhvUXvheBBQn1EdfXkak++OADmT9/vmq5F1iQsP9o5cqVqkVkFtRHW7duVS33AgsS6qOvvvpKtYjMgfV1mD9qaWlRb9wLJEgnT55kfUTGQn2EgYb7ne/dnUCCVF1dzfkjMlY080e2QIKE+SPWR2QqrK+Lpj6CQII0bNgw3n9ERrLro/Pnz6s33vgepFOnTlnr63AgOZFp7PoIG06j4XuQNm/ezPqIjOXlfIbO+B4kzh+RyaKdP7L5GiQst2B9RKZCfYTzvaOZP7L5GiTMH6E+unHjhnpDZA57fV209RH4GiTOH5HJ3nvvPU/nM3TG1yChPuL+IzIV5o+87j/qyLcgYbkF+p+sj8hE9vneOuoj8C1IqI+GDBnC+SMyEhZQ43wGHfUR+BakLVu2SH5+vmoRmcXt/Uf341uQsL7u3XffVS0is0RzPkNnfAkSPpeYP+L+IzIRtvOkpqZ6Pp+hM74ECevrBg8ezPkjMpJ9fh0uvNPFlyBxfR2ZDPXRvHnzVEsPX4LE+2HJZJMnT5YdO3aolh7ag4TPJdfXkalQH+H8EC/ne3dHe5Bwfh3nj8hU9vyRzvoItAcJ9RHnj8hUftRHoD1Is2bNsv6wRCZCfeT2flgntAapra3NWl/H+SMykV0fub0f1gmtQcL9R6yPyFSYP8rMzNS2vu5eWoNUVVXF+SMyVmlpqcyZM0e19NIapJkzZ7I+ImNhEGznzp2qpZe2IGE4EeuX8PkkMg3KjaFDh0pTU5N6o5e2IKE+wh+U53uTiXDBHc6v83r/0f1oCxLvhyWTYcna3LlzVUs/bUGaPXu2ddgekYn8rI9AS5BQH2H+iPURmQj1Eep3v+oj0BIk/AGxUBUHShCZBn/Boz7yk5YgVVRUcH0dGcvv+gi0BAmTXKyPyFS5ubmyfft21fJH1EGy9x+xPiIT2fNHmJ7xU9RBsuuj27dvqzdE5qivr5e0tDTV8k/UQUJ9NGnSJNUiMguOzPZj/1FHUQcJ9REusyUyURD1EUQVJPv8OtZHZCK7PvJj/1FHUQUJ9REmYltbW9UbInPgL/gg6iOIKkhYX4etu0QmQn2k83zv7kQVJExyrVmzRrWIzJKXl6f1fO/ueA6Sff8R6yMyEeojHHsQRH0EnoOECS7WR2Qq7D/Cz2dQPAepqqpCpk51P3908SImyUSOHRPBGfuYx8VHra5O2kOp/iGiKK1YsSKQ+SOb5yDNnl0o69atVy3nvv9e5NFHRZKScP2gyIULkfbKlZFQEemA+SNcdhcUj0FqbQ/CQunX74osWhT5urixebNIz54if/4pUlIi8tFH6jeINLDrI533H92PpyCdOXNK0tJGyYEDdwSnG/XqJZKTI+L03HwcuzxwYOTf2b9fvSTSBOvrcNFykDwFqbq6ur0+mqJakVqnslIkMRFXCopcu6Z+oxvjxok89phqEGmE+uiVV15RrWB4ClJX80cI0IsvRr5QGDzoSmmpCJbnPfGEyGefqZdEmqA+wmUOQXIdJMwfYdtud/cf1dREBhDaP1z/gC/Xxo2RXxcXizz9dOTXRDrgODhcuxpkfQSug4T7YTE+/ydGCrqBL9LDD4t88kmk3daGLb8iyckoBkVwvNiqVSIPPijiw+UAFKe++OILayG1X+fXdcV1kPDJnDZtmmp179AhkSefjAxC4H/XyZMimGjGsHf7h01waRr+4tB8eRrFseXLl/t+PkNnXAcJ59e5WV/36aci/fuL/P67ekHko4kTJwZeH4GrIOFzmZGRIQ0NDeqNM9OnI4CqQeQT1EfJ7bVDS0uLehMcV0E62d43c1IfdXT5cmTw4cgR9YLIB7W1tdbPJwbEguYqSFhyMR2fFw8w3N3+MSPyDeaPwqiPwFWQotl/hFG7hATcKq1eEGmG+ijI9XX3chwkfC6zsrKksbFRvXGvoACX4aoGkUb2/FEY9RE4DhLqI6xfimb/0eHDIr1749AU9YJIk8PtP1yYP/LjflgnHAdp69at8vLLL6uWN1ismpIS2UpBpBPqI0zNhMVxkPCH1HF+3dSpImvXqgaRJuPHjw+tPgJHQbLro2+//Va98a6oSGTxYtUg0gD1UVJSUmj1ETgK0okTJ6wg6YCP2pIlqkGkAfYf4SKxMOaPbI6CVFVVJX379rWGvktLSz0/5eWrJTt7pyQkHLB+XVbW+T/Hh4/TBz+TOAQy6P1HHTkKEhJfVlZmLQiM9lm9ekP7/wHbOv09Pny8PBhoOH78uPppDYfjwQYi6hqDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpAGDRKQBg0SkAYNEpEFMBgknvs6cOVMKCgr48HH1zJgxQwoLC61Lm3WKySDl5+dLdna2LFu2jA8fV09JSYk89NBDsn//fvXTpEfMBenq1auSmJhonfdM5NaFCxfk+eefj+p6os7EXJCqq6utm9mIvFi8eLEvxxvHXJBycnKss8iJ3MIh+/gaHTp0SL3RJ6aCdO3aNRk4cKBcv35dvSFy7tixY9bPj9tb+Z2IqSDhS5SXl6daRO4sWrTIt1srYipIqI0qKytVi8g53C2Lbt3BgwfVG71iJkjo1vXv398atSNyC926QYMG+dKtg5gJUkVFBUfryLM333xTinDvqk9iJkgYrWO3jry4c+eOpKSk+DJaZ4uJIGGUDpOw6N4RuYUlZbisua2tTb3RLyaChG5dbm6uahG543e3DmIiSOzWkVcYrfO7WwfGBwnduYSEBHbryBN065KTk33t1oHxQfrwww9lwoQJqkXkzsKFC6W4uFi1/GN8kMaPH89uHXmCbl1qaqocOXJEvfGP0UFCd65fv37s1pEn3333nTz33HNWoPxmdJA2bdrEbh15htG6BQsWqJa/jA4SQoT9R0RuYctEUN06MDZIWFOH0TqurSMvMFqHbh1WNQTB2CBhtG7cuHGqReQOunXz589XLf8ZGyQcbsKdsOTF3bt3rW5dbW2teuM/I4N0+fJlq1t35coV9YbIOXTrsPcoiNE6m5FBQrcOXyQiL3DASVCjdTYjgzR27FiO1pEndrdO9wGQ92NckNCtw05Y/CeRW42NjVa3LqjROptxQcKWCXbryKslS5YEOlpnMy5IY8aM4WgdeTZs2DCpq6tTreAYFaRLly5Zo3Xs1pEXOOAEe4+C7taBUUFCtw5fJCIvli5dGvhonc2oII0ePZrdOvJs+PDhUl9fr1rBMiZIP/30E7t15JndrfN7J2xXjAkSR+soGujWhTFaZzMmSOzWUTQwWhdWtw6MCBK6ddgJy24deYFuHVYzhNWtAyOChJ2wHK0jr95++2159dVXVSscRgRp1KhRVo1E5MWIESPk6NGjqhWO0IOEbt0zzzzDbh15grV1GPYOs1sHoQcJWyaw2pvIi3feeUdee+011QpP6EHCaB27deQVunVhjtbZQg0S1tY9++yz3AlLnqBbF/ZonS3UIG3cuJHdOvIMo3Wvv/66aoUr1CBlZWVZNRKRW9gJm5aWZkS3DkILErp1ffv2ZbeOPMEBJxitC2PLRGdCC9KGDRvYrSPPSkpK5I033lCt8IUWJIzWoUYicgvHbKWnpxvTrYNQgoTJV3bryCvcMoFFqjjf2xShBAndOm6ZIK8wWocLxEwSSpDYrSOv0K3LyMgwqlsHgQcJ3bo+ffqwW0eemNitg8CDhG4dt0yQVyZ26yDwII0ZM1rWr1+vWkTOoVuHLTemdesg0CBdvnxVBgzoIzdvOt8ycfYsVviKlJWJNDdH3h06JIIphIAuYyNDHD9+3FqkilUNpgk0SFu27JUePcrl4EH1woFbt0QyM0V69hRpbY28Q6imTMGtfpE2xQdTu3UQaJDy8nIlP/9jmTxZBJfxbdmifuM+WlpE/vtfkV9+QbGJazvUb1DcwOACunVhHEfsRGBBwmhdr1695MaNi1b7889FcnNxM5/IuXPWq25hfGLSJCwN4ZcoHv3www/W2joTu3UQWJAwwIDV3h2tWiXy1FMie/eqF13Yt0/kgQdEmprUC4orJnfrILAgYch73bp1qvX/8LXu00ekvFy96MTmzTi7TDUoruArhL+ETRytswUSJHTrevfuLT///LN680/Xr0fCtHu3enEPbIBEiHJy0FdWLylunDhxwhqtM20S9l6BBAmTsJ116zo6fVqkf3+RjrcWotuXni7WIAW7dvFn2bJl1nX/JgskSNh35HQSFt28hASR8+fVC4pr6NZhbabJ3TrwPUhYU4e1ddgR69Rbb0XmiYjsbl2QV/174XuQ0K3LxIyqCzdvigwYIFJbq15Q3DJtJ2xXfA8SPstdjdZ1Z+dOkdRUEUO25FNIYqFbB74GCaN0GK378ccf1Rt3ECQ3y4no3wXdOmwpN71bB74GCZv3sAnLq6VLRUK8O4pCtnz58pjo1oGvQcKQt5duna2xMTJ/ZMBBmhSCWOnWgW9BsnfCXrwYWVvnFaafGhpUg+IGunUjR4405ty6+/EtSDhBFf3baBUW4r9LNShurFixwpjjiJ3wLUjo1q1du1a1vMOWiSVLVIPiBrp1YV8e5oYvQcLkK+6E/e2339Qb79asESkuVg2KC83NzVa3zoRbJpzyJUgYrevRo4d1Xfu8efM8P0VFs2TQoNXyyCM72rt4czr9Z/j8u56ioiJJTEy0rvuPJb4ECX+j1NTUyK5du6J8dsrevTXy8ceH23+9u8Pv8fm3Pnv27JFff/1V/TTFBt9qJKJ4wiARacAgEWnAIBFpwCARacAgEUVN5H895bSYByzolAAAAABJRU5ErkJggg==)
Read the following conditional statement: If Siddharth does his homework, then he gets his weekly allowance.
What is the conclusion?
Note that a conditional statement is not always in the form "If-then", for example, "All natural numbers are integers". This is a conditional statement but not in the form of "If-then". But it can be rewritten in the form "If-then" as follows: "If a number is a natural number, then it is an integer."
Read the following conditional statement: If Siddharth does his homework, then he gets his weekly allowance.
What is the conclusion?
Note that a conditional statement is not always in the form "If-then", for example, "All natural numbers are integers". This is a conditional statement but not in the form of "If-then". But it can be rewritten in the form "If-then" as follows: "If a number is a natural number, then it is an integer."
Read the following conditional statement: If Siddharth does his homework, then he gets his weekly allowance.
What is the hypothesis?
If the statement is in the form “if A, then B” then here A is the hypothesis and B is the conclusion.
Read the following conditional statement: If Siddharth does his homework, then he gets his weekly allowance.
What is the hypothesis?
If the statement is in the form “if A, then B” then here A is the hypothesis and B is the conclusion.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the contrapositive of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the contrapositive of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the inverse of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the inverse of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the converse of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Read the following conditional statement: If it is raining, then Kangana has her umbrella up.
Write the converse of the statement.
If the statement is in the form “if A, then B” here the converse of the statement will be “if B, then A” whereas in inverse the statement will be “if not A, then not B” and in contrapositive the statement will be “if not B, then not A”.
Look at the pattern 2, 4, 6, 8, 10, ...
What is the 19th term in the pattern?
We observed that there is a difference of two in each case and then found the no corresponding to 19th position = 38
Look at the pattern 2, 4, 6, 8, 10, ...
What is the 19th term in the pattern?
We observed that there is a difference of two in each case and then found the no corresponding to 19th position = 38
A dot pattern is shown below. What would the total number of dots be in the 6th figure?
![](data:image/png;base64,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)
In the solution first we observed all the images and then based on the feedback we got we found no of dots in 6th image = 21 dots
A dot pattern is shown below. What would the total number of dots be in the 6th figure?
![](data:image/png;base64,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)
In the solution first we observed all the images and then based on the feedback we got we found no of dots in 6th image = 21 dots
Find a pattern for the sequence. Use the pattern to find the next three terms in the sequence.
2, 4, 7, 11,...
In this question first we found how the pattern is there and we observed it is based on the difference so we found difference in each case and obtained the continuing terms of the series.
Find a pattern for the sequence. Use the pattern to find the next three terms in the sequence.
2, 4, 7, 11,...
In this question first we found how the pattern is there and we observed it is based on the difference so we found difference in each case and obtained the continuing terms of the series.