Probability, NAPX9-TLD-CA20 SA v3
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
Variant 0
DifficultyLevel
633
Question
Michael rolled a standard dice 76 times.
He wrote down if he rolled an odd or even number each time, and recorded the results in the table below.
| Result |
Number of times |
| Odd |
32 |
| Even |
44 |
What is the difference between the expected number of odd numbers and the actual number recorded?
Worked Solution
Probability of odd = 63 = 21
Expected number of odd numbers
|
|
|
= 21×76 |
|
= 38 |
|
|
| ∴ Difference |
= 38 − 32 |
|
= 6 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Michael rolled a standard dice 76 times.
He wrote down if he rolled an odd or even number each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| Odd | 32|
| Even| 44|
What is the difference between the expected number of odd numbers and the actual number recorded? |
| workedSolution | Probability of odd = $\dfrac{3}{6}$ = $\dfrac{1}{2}$
sm_nogap Expected number of odd numbers
>| | |
| ------------- | ---------- |
| | \= $\dfrac{1}{2} \times 76$ |
| | \= 38 |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 38 $-$ 32 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 6 | |
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
Variant 1
DifficultyLevel
631
Question
Penelope flipped a fair coin 128 times.
She wrote whether the toss was a head or tail each time, and recorded the results in the table below.
| Result |
Number of times |
| Head |
53 |
| Tail |
75 |
What is the difference between the expected number of tails and the actual number recorded?
Worked Solution
Probability of tail = 21
|
|
|
= 21×128 |
|
= 64 |
|
|
| ∴ Difference |
= 75 − 64 |
|
= 11 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Penelope flipped a fair coin 128 times.
She wrote whether the toss was a head or tail each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| Head | 53|
| Tail| 75|
What is the difference between the expected number of tails and the actual number recorded? |
| workedSolution | Probability of tail = $\dfrac{1}{2}$
sm_nogap Expected number of tails
>| | |
| ------------- | ---------- |
| | \= $\dfrac{1}{2} \times 128$ |
| | \= 64 |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 75 $-$ 64 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 11 | |
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
Variant 2
DifficultyLevel
641
Question
Jevin rolled a standard dice 93 times.
He wrote down if he rolled a number above two each time, and recorded the results in the table below.
| Result |
Number of times |
| Above 2 |
56 |
| Not above 2 |
37 |
What is the difference between the expected number of rolls that produced a number above two and the actual number recorded?
Worked Solution
Possible results = 1, 2, 3, 4, 5 or 6
Number of results above 2 = 4
Probability of above 2 = 64 = 32
Expected number rolls above 2
|
|
|
= 32×93 |
|
= 6 |
|
|
| ∴ Difference |
= 62 − 56 |
|
= 6 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Jevin rolled a standard dice 93 times.
He wrote down if he rolled a number above two each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| Above 2 | 56|
| Not above 2| 37|
What is the difference between the expected number of rolls that produced a number above two and the actual number recorded? |
| workedSolution | Possible results = 1, 2, 3, 4, 5 or 6
Number of results above 2 = 4
Probability of above 2 = $\dfrac{4}{6}$ = $\dfrac{2}{3}$
sm_nogap Expected number rolls above 2
>| | |
| ------------- | ---------- |
| | \= $\dfrac{2}{3} \times 93$ |
| | \= {{{correctAnswer0}}} |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 62 $-$ 56 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 6 | |
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
Variant 3
DifficultyLevel
652
Question
Campbell rolled a standard dice 15 times.
He wrote down what number he rolled each time, and recorded the results in the table below.
| Result |
Number of times |
| 1 or 2 |
3 |
| 3 or 4 |
5 |
| 5 or 6 |
7 |
What is the difference between the expected number of times he rolled a 5 or 6, and the actual number of times recorded?
Worked Solution
Probability of 5 or 6 = 62 = 31
|
|
|
= 31×15 |
|
= 5 |
|
|
| ∴ Difference |
= 7 − 5 |
|
= 2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Campbell rolled a standard dice 15 times.
He wrote down what number he rolled each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| 1 or 2| 3|
| 3 or 4| 5|
| 5 or 6| 7|
What is the difference between the expected number of times he rolled a 5 or 6, and the actual number of times recorded? |
| workedSolution | Probability of 5 or 6 = $\dfrac{2}{6}$ = $\dfrac{1}{3}$
sm_nogap Expected number of rolls
>| | |
| ------------- | ---------- |
| | \= $\dfrac{1}{3} \times 15$ |
| | \= 5 |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 7 $-$ 5 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 2 | |
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
Variant 4
DifficultyLevel
634
Question
James flipped a fair coin 42 times.
He wrote down if it was a head or tail each time, and recorded the results in the table below.
| Result |
Number of times |
| Head |
17 |
| Tail |
25 |
What is the difference between the expected number of tails and the actual number recorded?
Worked Solution
Probability of tail = 21
|
|
|
= 21×42 |
|
= 21 |
|
|
| ∴ Difference |
= 25 − 21 |
|
= 4 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | James flipped a fair coin 42 times.
He wrote down if it was a head or tail each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| Head| 17|
| Tail| 25|
What is the difference between the expected number of tails and the actual number recorded? |
| workedSolution | Probability of tail = $\dfrac{1}{2}$
sm_nogap Expected number of tails
>| | |
| ------------- | ---------- |
| | \= $\dfrac{1}{2} \times 42$ |
| | \= 21 |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 25 $-$ 21 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 4 | |
U2FsdGVkX198d124ADy1i7voN74lgLb2bxSey/bxGBI8j5z/xTzotdL5ecMHEhbq+mHF2kRP3dJH+hWvgvoWSfkEUZNu+w7X1zrQZ/ChH6segzcq9L1CFB2du4Dj/+a0u3oWeDUFuq7FlQtFuQjZe/ygCsD/KbVbXTzT0MNn6sFxZseawD8BtZWcWl6SvslvjJ0fgCpXGMb5nwA2TLxCfC+GqhX3u2XKXwe+RfBaJLhuUfq8oYb2+rFo3Q3uhf5n8BZEootrqnJ46SL1KUVbjos+cickEV2eOmoXFtTioNXywKoGVOQIFi2zggVftwR1iTrg+c8R6VYRg59cosnOagcL9aq/BGFjJ7as4SlRKdGunTVKJGA6FMrMUorDGSZXtqxess5eRULm26jNK3/JGyEXaWxHaZ1/ZyZiprWFcL9sDDBeQOdfjO+fSjnk3D7JToxn4LFSO6cC77e44WtQaivv8KthHj20EXLMnJIi418A/m0inJhBMrJNpErSHQWJ9qCR0A7PqIPBlUgmqWIIHV6Rv59Mh9EiAvIM0pYJyWflFK3pbM42Sdly7l9gZdla3pdEwgqGtbueVx5uK+ES3ghWLvPGEBMvRouB9LyqfZYTBZqzGdHkP+I8aWOj/usIyKteDakQGDM1r3pf28s5TaBGOqVPF2geg4DGWTUQbQHnhXKD44l6uAUEROf4hXMYEGM2CpiLJz9W0v6cLtkVhPbrViuEK5gi0fskk26MwaRuOVAoXyeMlfDtIHKN6utPgt5Nw83lVrrXQ8JM+VrYvK8GOKivtsxeXJevr+Fc1rHPZeobGTduIdOg+q/pG0iL0S77hzpd6aRXNAO22xXlFWgGjaZCxMqa7+yszqR4ITCwG3xsly6gAoPyilgbFZYhWPn96ZOHWBoiESwyn4fYukRGw2wByBlDVZYf1r1V0f7ucC3ALwZyv1f4CcZIqENUrVmpoBHKqyZf941MvQwtOt0k2E9CPuFisLikIU9dhOny67NyP48qfMOgfdjT9sow/pjdoWUWCgTnxNnuVSz0gpBUFpV7S9tz1unOrO0ML92QunBNi+N18Hl2wWbqISptiiG7AiAEH8+vLYbReNXhDbW96r1XF4Izc/xgv7nFQEm2lfaxlOZMl7JYT0mBwGy26zkIodsaK1i+zv15YH1n9VZlOFKbQkmgzYft37jSFen5w0rCKAmQZQMgM5QXAV7w2iqZdgkveJXzlajHGl1khNuWGdiFQOoO9kEroVnIRvO79/svidQ01b6eYUc95xz65yHs2u3UWc21kiP93814wx7clkspyrWf6vo1QRhGD79zAMZkugErtgWEHub3KdDGhqkv1XZAC10S5Ds/F4+85b9Zg1qWzMJplh8bElXllqABZtXmiXbR27QSXQfsjC7L/JF1VnEvyH1zmSCQDx7wFNxoQp50Zi7TmxQKqgeeG119T80yWpeiN94cn7AqixUM5mivkE7pips5hZv5NNbaV51cnhGwQKOZYWrrAAECOGy6mH89eqyz5QYJpnaGiR61CWQIM1eQNS78xsNy8aMq75bWsBuZA887CTlk4eEIEG7GfqbMyAz3/z+/20NZF8sWz061EJLzjAEDcZ3h9HYkUOUaKpKOOmrET8YxKFv6a/Rh+Bn48bqUyVLC1LLQfYdaiEhM0dVZffD47clduguSrQP/rTtV8k0ktofgWPHqHLanhSTGnOZYHrJCCFQceAdUoIhZQbPMDmoigY6dgVUp81jMOaBPfV2AMPjzN73G3MX6zvHuvk4FQoFvB1V0hMkV1Drh6oZcIJWZO9LH7lt1LqXHlBxMfcgXKm5e5cVaJ8d1qVjIb8f4noQu/CzwGlX2PlzRQmwZRxTfVg/IzYH0e3E4HcnTVDW4KMAikhJUsbz5h4J0ExtKwJ6yVXgguN3YrwvVs5Mf6jS3h64gy36VJFENFttFd9p0/YSzS9Ag18RkxbIczWrggI/hdc3skdg31kH7R1H94SETLPBFBF6gR8TYGyB+T8goVcGsiPzal313VotIFS2lIS5KsTgUm+sV8rSOXuje3w7etVSDv3XQo6dnSpbxwbn8S9IwFRnt6wODv8dooiDaNbMIKjbBeftG6wpU6form/c5vUHHC3ca3UujMrv00x3gJ5cfHfN6RwNAOMCwygA9dTXfy/l65qFYsHPTojY/lm0kGPKTda7vSBa0QHcgnVFjdK5zR0mtgT9WlzIqUFW3pzdgJIG4MK6oWmBefQTr+vgaaqzwqtwXrdS1PX+CSOc3q5Jpb8GkbyLwZH0SlpnV6CS8ImPRJDo7DtNzsdTgGCdL/Hnyb6MMZY8PhUvmkc/EbsnJ/qeOI1dZ48ElwMcVHkuBaQTF6r9sshjO7jtmL6FDQqUfeiwgEtddvjoBCK3IUiBtTyYcLkVPZtRCTNhaNrXl52BqYg6sKoVOHL0mr6Uj92tItSt4PvBT1fdXJHbvim+uJMlTzE7LeUxo8ZfFxWPz/zAiVn+toL5R308QUrYNE33pUaTvhdRBuHrkTPeWB1MPiXRT10PfICOLMUeUAbRmwOTiO8uNMaUUAedthGfMaRHDDubQ+s5OxnjegUN9D+BoONrIknEP6fDyJBblzBKCBMoOzNngYCua1uTIFH/0fkRCfi9XrB5K72wpoN+jblaWb0rMkQlFLer5nad5dp/r3LOaopduUHE7phbP+IfPSIcFXNlX0xK30uawONt2F5HvqgBBVquGC2NGw424tPpHxLpcXjW4GcZvOKdd/Ayj5JMZ0DUiGg14SCKqc4amg6W8ykaeVry/y92Ag3jggQX1/LtoOYUIvZZEBkBMfgh+EVwJ4p2ROKf2who9TojVKV2R7FoAa/4KLAjokT1oYlKT6pniiv4RIZt7oMQ83lbfFeIQUktVGBIyfIL90XpCgsVnK4w40CE8jDl/1AqWiQrKUtzKJiwunrWPXJCjhO7roUcdyoYjFzFXu4D22baZ0cCN/7xtprfBo1tELT7olpBvR89S1534BlFKhty3FfFsWVwYEDCDa900aByCfr1qiVY6rHgILrbILRHuiRutPhtcTNdy5p66KosgvQo4O7jGslHQxhoYbXVG8D8gPb+ZLkYQZG1GMzDmt2/KzVhTviSNSVPMKC+gHdRQdrPDlK0c/pZ8VAt+f0CXkKWwBqp261oRfsxf8jS7Uc5KN+U2KBGpi3KBBAqGU9snJqQ45Fe9herIN+OpGGMvVFsvu1XVTfsQ+TdMFqqXiqQyqC1b5rjMQY4bywzLWMw1OikNSXIojeHx2FkbMehztbcwCw4jp3nBb8JabxH6qxG3f47VWmTyVuwD+Xih6zMWPCb1BD+uHwQmrc2JbMNx6xBIg5jbxIcWGuLOiIypwsy+B4BbLSrbWd3utSLrpxCiux1OV2eWsgbA78iAc3Rb6iXRQkcxnq0Ji1HV1InoJv/DTZY6f2NlXcDybR8vcK/ZFx6u/beh4ocdFIcsGsFM+LhjzYqY8PaeFO+Dppv7xjrK0ViJDjQZ0hK1s8b/Zwl737Gvlwi48GkqWLbwnkkPYLtTlQsQSYGcTsrzuauu8eL8OLREZI4sVBQIn1SJb5lJ/+hgCtPDo8mI3FIwpDuMhta+vgXNGVnFl0X3wfWcof3ZzJCZmAHXdkmIa6zax/3ITibFf7ko890GVxwOfbQzeOQsYRHjagr2RjDSPuHRtB5tzg3Vv0yFWOxzSIrV8MHz9bRY7UUdN9IKhWetO3E6IVuNJLyUAMqVeJYbwUBTiU4XILvUcgUswnyqwlr17kbwmMrIoC9ljnOSFKuNmLx4bTNwu783JiGFj3WjC4tCy7ex0iyQMSNnjaNp9SMFxIdj6eVdV/BMYPISnkIZHZYqE1cSUvkX3p6k995akWap5xalrVB9GJdntSNJ/4qQR6M4gWhB49y8shansfFZ+/LxDjNLsxgKy1H/MgDhXRXdlOx++XX0GKIvYSJjaEc8LD7a84qVITARLbKCSbctM8CkHHyXELMM//40eon1ndekIf7vY6CqG4DT0J/iTzIywhQowgobKAN56RVwLEsIFx6yAebQ5yWZzVYV6ze0I3E92Ahp3jLAlSuudVJ4ZRQZHg8gzqvnaldw5DeyOS2FJqRZcIUzpcqO9w+U6M+d4swZLjiYf+8H+zbDpBUUoQQRKTmZCLgg/Bzisg6CQMaFkRkkt9ufKYBLka7Aacb94H6wjykoP0waBS9e7qpZei2EmJ2m7R9tB/6+2meXaco3aVN+7czwSRCL79WIybBz27SV1iQvbt1Hwa21eWjmReJUSG8NhIv5hiwDa1GM6x6XI1PSyMDGsRUM4A+KMOJppIldlTk2eh7PCFXsV7dsp8Rsxu9laqweNN4a8b2W1WxGR0yfhHgqmsV71z1Kf0C2yvvaXI5YYLbKjZ+h1oRZlChP+0OaQfFx1FgRHgt961vHtO+pxDmLt3bf7Qbtij9EPct1ypMHMzyV+LbaF8OMLw3YVaO6obNvaz3iYnbXFY7w+q1e5SMnevcOk4lJZ14/HQM3sG5JxgWplZB/1J918d9nWnWehmyZUZtkzxiyiDP/MTkhb1ygS8uoWA1kXWunyzGqXDxmy1BpNQBun40O/OucIrefho1RxtjeUjrArb2Lg8TkdqNknijYl2qBJ4qlMrMFw81m2ay4NqWx6D6QFnUOYMcKiELb2Q8Pg5ucOO2bjdNxnBC5U8kkTE4lK6eFb5KB2Bkuq9Rz0Zh/Tzpd9iIOGyvAbW+c1SZwDIl6ceD9SAg8GasKxDqbwJP3HcjmOp+4OG0otO3LV5p0wtDrzRo6jPUchZkNosXjVyWX7OKfz4PlmMNDimMdH0XD6AVA+kfiSDny2NHhuNdzCUKI9+mZTtb9U5cOQH4Zh3lpsQwF4xQWMVgbRf1QvSSHJhXTjksIsfhmhQA3pdmgXKsDMx1GI9Fzy/vF2iHcpTIZWclAbHwIAVUg7xVRMzixFZHV/cmZuB8VdBC5ehCfcGcRwQ+AGDlBeAsNzXQcXXsLzA24iDaVPNQr/KSkrbRHtx4hOqpMynIYpx7wG8afWO+EuAeq6RHu9u4KPPXD6CKGfCtAhDvRRjIzHaVG2RmZ7Nv3ChGCASQMx+3Fb+gj8iiukGGq4UdEM87kSVEPpVj0l1qbXov9EbKVUpvaH/s8kWEhOzcQysu5aQr//M5zngtOWCdQTXWqV8G+pyTInWTKnUmYpm9nQjTNOpHuq4ROvPRUqtiuqzMvWUk2wpi60ygLDM6qBfL+njvNcemwVjaycSx6xXAHjhrHYXioJ0SxxsU66BHvsrrtirXlIw0wXl0OzHk1bQAociDz8NmZYSDcnsJgKzWx4lbT7rMFFk1sZEfr0JeaZ2TZ3HwEHSAUl/GGSPiaaMGEVrkV3+VVFW7RU3G/UOptbdOg61AOJRb0/Q+IR+Z3+k87OzAkmjeJZ0b2g7VPxZdZhFioMYKm/SUCMKGkix8ZSRli+ED2lK7pNQLbNkdOVT/qnShEDuHPdVUgPLlrivVTkM4p8WPjeDkfe+YXs+SdlR85HvBiHfs9TTsgXNVhnG9bltVv4r0jMwhOcjI6hjhmLYcyLOP8sMiBeHnaB9OEE/bQXqaZf7ECX1V5ikE9Vg6QBeot3zQyIxnMbgKFcrU3cvQrfJLnJcmUuwiKy2tENDuX6RRGT7UxrvEy16ddhO5dSxBsTN7KKRKpz0hiTyjpUqTgtwOHq9Xal9fEFSHVBkBky3YLeJa+VdGbEep5Za+cvOQyXrSikkwGvdeUXFQXltJWlYIeC+8G8mb+iIE6CSzmDZeI+BwM8x9jsF5I9sGa2Hu/OiqITkQ13e67xPRfAqJkea2ME0q6I8bzdD4ED5D9XUOeScw1AFVZdzyOs0w0K7H4JkDVFIKC4VystSUBf8XTPlIp0KDfOuhGv2ey6NUxz2Wf4+xg40SMcN/3lSCwydiH2e8TZlA6+aMfyHGffJCMj9RjDoi4F9umrcMLyq1ySFpupUk+7IC1sAYqHT0ZTynhNQIW8sgS4j1Kv5vNIlNdWUQAAe+rBrMkMjwrJYwZrzdmVhtNJ3Zh14kkcgkpW24d3itJ3wmsi95eTUW1jlspxr0xdxMjf13IycxEiUgxsX3bFF9WbugmBDgKwMu3AooNtJxiQBzd3QYhuz+r9HWFRzLdo0x10BlCZxzj5t4y0RzVZ8y+zcsfiwxaQurcNkrotgX3xtV8E2s5eXhmMb8S+9TatSWFYdLkwFaxtGmEJ1QRLp8tVTp0o53E2VM4gz6jZ4Ldym2suhlFnUwkHf/Y62w579ssMl17X2wgzpBC9tSaS3AdoaWyz0rFR5Xq2LyxUpK/kcIDcJY+B4BR7dnStbLOR3nhQ+xKEk+cDGU/Qdo+5LyQEO6bk/gnpsolgl8ocTemU6GYuN9oNeZA48/Cp0n1lMAizJuxs38zerIjOk04l4BrFT5NTHHNPYvGV1+MksjZGXcZjsNQJoQoXK8r4cyZ37lGHVYOLm47P1uUZXm2L0AYrjFtXIpzAxe9DssBK0jUP+E0Goe8MRs2wNfzrvHzTALXyDrz4CugFIWoPyM/HepRLMaUjXbnU/rrSFU6wttzMYY8k6JyIjJVul/ZGatvXuGypQQ8NlDVTtdCi7kwtsF4NowPKgcDaSlfkwQBfOBFIMJZ6d3uoCxI5Fri/bcOK6UqYJlHVeB0vuHSrykXQWezK43qI7gBH62ObM97C24uF0llDTtzDdnFis+uTmtmN9DsLmg9SD9xikg1YxEb3mxVKaE4PJrrvk+FoYVUfPtTjC6jN8uH77vEfGdBrZ3llltNs1/DJCHVUvR3bJETf88tWzAq8EYMWK8X5RwFzjc+YMLUbeYr8wWFl/VmZ0CvfEVMNqeF+aLgIELYk61PArMTTOjuQhDJkdqEH5GpyJP5JzmAI4Sbk6vUwEaqWouuFjwy2emgrNGUgaStNYbD0hnA5TVWP7WJbO6jqYWyURFpi9uztvSBfhxly+Jn/hfMpQhCY7T+1UM+jZxx8xASA3g6dmPAWqxfOY1uLuvQ0y3qoarpkhqjRnJeFzgKdmowtONvqVzSLc1hK6GWn0vy+n6V2yi2A6bw6EYol6GddlvX/ZyPfCF634TPxKFAxesbpItmjuGZIp92Th1xDaTomFJuSGAk53OLhJiC6egEzIYmJHFBlSjtY5/Qd5mDfpXxzp33gV9Le+pdxC4mzUi2Ad6pjL1Tf/yCXUEIXgKU7etuW9CWQNcKAjfuhU9OJJdqCjagaqtWkKsWTnHWBoKNOKA1vYdRlL/b7fxurKXjUJOvT82jRl1UstGC7MbkskuwCQTLUMgDQ2q+PSHNAwdT3qqWdjEbT8nB5ld9HDpcWI7s7OQvAmyJhG8fU0uH5fZmhQyl+Bn8e5tewf/w28sINUPRUBfajxTIIKGiDRgil2XLxNdXr9XzQdUUtxk/N7DG4kQ3gSnh8RInFOwYEF1CVJlPpM22hJ4RXKF9cgC78hGyo8lvsCZkKy8UZ0D24oq4ZX/fLvfPonBmSZwANy92abE1QfWpV5KmtrLwFp3Bwyc5UG6a8tlW6ICO1lZt7nYx3e63JAfZt336SOuVb+r8um6E8wafnsvjOcCPOkYjcSL7iLoAXww7fLl9SuCOBXa+ZtSin9HYGdJrNpTlUfI2dxse0rPglH3VVyhEkHts0Wn9nGVHCbmiffDFZDVAcK6We0rPIf771e57RFQBCafKzKOCLXpGWVLdCYH2WRIQbmdLt4Dhk3wxgk72l4NXG+DsnrsJe+rnKVnzbsbk/9TihPP1Z2NaJYn+2pQc8xVlujTTbgIHmw5Kgh+RBmIhpsXPVvSbcYmmSIoDCnwfYZ1kRid+KpJ4chmsoZFyRBkph2XZKXe6/a2MQAE6E+MF5/r/EpyRH9uKwCI4v4ODSgdzbRQcfFFWsNEEzoJgBQ97Lgcau+sE3YAfp2P/5G1QlF6bXPGzeIGqSCiZ4nKQ+a1zmzmx/ppdlGlaTe+aOlau4rbHMDMaB6ayhv+vjTjesEjAtH5Fw5UEKUbUgZgOVeCdQpDCxy9qA4dLJ1rNw4v3vLZqALUaKtORGRwQkEgek6e7mdHXdv+jRQvo++grwzshBL5BygnhPgcQxyTu8Wm6YOwXFnm/KKN0OALsJEi7lwg95khJ5T0UyhaTSo+zWVfjZl4qlgfjy52rmcmsZaF4V4J9sltBk8amQI81XstBLOPtLdfFRdyJNJoOJgQSZSnI5W0LsEudVwPnv8J6o84rM8xJB62TvCFTkT9dIIqInIt6ew1T5ahGWUCCrMThNDGMlZXN/DyJlriMj1MjgZGm0bPOI2XybvBupeh5nzcAo4nFYhbDZlzKMj4mDVn60yNSK/0Zhdxcxc5U0SV4NYcYmLOFABlvh9riQUoBYiYus3LRLHGNgfVlxgdNiXBhMxny7MYOuArYq+Lov73bnyk2DbquBnQyLRqgTm9EBmpxbut/KOYfh90cQBVUg+5lttW2+L5nncJauk660xVh5vu9GNQUghtHp2xLy7LtPwLghDBg4emhMHS+ryQmuW2zmUmNXPTyjnjxJu0l9Qwpzm4IkSAj23+cewEnAfETyYsHBbkbTxTMvFUaG/cebaqlL8gnKsnPHAHZk4NN/BR63TnFxUGXuYfPHtcF0zntjfz2SUMKSeBulOJDPlD20JOFLF+L8QXhbgiO+sMvPK/gQFUpji2J+dbGXWB5+DGl+tfXgCRo+q/EHdCOekKjyV/OXJWcciat6pB+1bIfGaEbpZb2G8BbRX7Rr/GCFY8Weo9fCiH6go0QjUljPZGMHMJ7Y99QQEIFzNdw8p4qGFj1uEHpsTn/RMbRufjByTTUUye7TgZ/cTA0UpJkBY1cKiB7u/0l5kxZoatxYr/EB2vYyvSypMPx4yR5b8XH0xqEQbSeOi7nonUq9kdUoyoO2v68g82uvVHGygvmH6PeKzbQ64wNsYEoshvFzrTe1gbWNI94/o2Zcnb7wK32uYIRWVazaY/yP0QKZYwodClOftni+KdSFSz2vEI7km/T2gEuNE4S4ByccOdGmJ7ec52TrWDBDJztRDsRUHG/Xubo7OattnN/4uAQImoHxvzLZ+hVhvwxsmJ6s6L/C/KzcLlUivsWmo71WXEgjbMZHChs1xYpj5P1ZnDe0OS7p+7sbXnVDcNfn6Q0lT+2Q+LijXEKDPHYIH/Q7jay9TQIL1DvZ8730Ui+NlomS0CwG980eXL4kqGu3PHS4+pO1mlEyjVkA2QiUXXcYZ8+8KxwfXFclBB/S8/7zM46OCraaTybt7883scJwx+OeMQm6TfVhg0S5YM4BGWgxJl4Z32pyQBr+y8OJ5S2HuS6dFzXWpWYHygmf5lC/6it5Nj2Bws/CKEeWSX6jgkxviDAyTAaGX2ekHqXEp1RIOy9lkSOcgP3BVl5peN3h0CWWQvVUemTFh13wL5g3VXKIOPFiMZ7gCqbTYTQnAmyvvpv/IYxDY+W1TPGOp21PlDlFZ6bcNPdMreMrxk2DZFi5U8TeNxWd558Rzdfg8vf+6I1kWoTeOlFPdEmE0EtmoaSmBOdqlv8nw6web9k3Whr/4iAkm31RjG6FSdiZvQSE24+YxzGgbfzlTOkzMGbvqrNmruZ6NMuASJ3HsReXkD+KvWGt4jAEhrSakC/BB6+QISe4oIA0olAQMQKfWAvn/8Qtg7byv5E0VqifeBYXHrNmq1PXwNPVjl5XxR3vMznrnRa6da1/Jdb99NLVriaU8KTgtrND+pCNQ==
Variant 5
DifficultyLevel
628
Question
Yoshi rolled a standard dice 26 times.
He wrote down if he rolled an odd or an even number each time, and recorded the results in the table below.
| Result |
Number of times |
| Odd |
16 |
| Even |
10 |
What is the difference between the expected number of rolls that produced an even number and the actual number recorded?
Worked Solution
Probability of even = 63 = 21
Expected number of even rolls
|
|
|
= 21×26 |
|
= 13 |
|
|
| ∴ Difference |
= 13 − 10 |
|
= 3 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Yoshi rolled a standard dice 26 times.
He wrote down if he rolled an odd or an even number each time, and recorded the results in the table below.
>>| Result| Number of times |
|:-:|:-:|
| Odd | 16|
| Even| 10|
What is the difference between the expected number of rolls that produced an even number and the actual number recorded? |
| workedSolution | Probability of even = $\dfrac{3}{6}$ = $\dfrac{1}{2}$
sm_nogap Expected number of even rolls
>| | |
| ------------- | ---------- |
| | \= $\dfrac{1}{2} \times 26$ |
| | \= 13 |
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 13 $-$ 10 |
| | \= {{{correctAnswer0}}} |
|
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 3 | |