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England schools
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England university
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Scotland schools
Taxonomy: mathcentre
Taxonomy: Kind of activity
Taxonomy: Context
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From users who are not members of Keith's workspace :
Christian Lawson-Perfect
|
said | Ready to use | 8 years, 9 months ago |
History
Christian Lawson-Perfect 8 years, 9 months ago
Gave some feedback: Ready to use
Keith McGuinness 9 years, 8 months ago
Created this as a copy of Testing an hypothesis about the mean of a group (1)..There are 2 other versions that do you not have access to.
| Name | Type | Generated Value |
|---|
| mdlower | number |
22.475
|
||||
| mdupper | number |
22.525
|
||||
| meanwgt | number |
22.500
|
||||
| medianx | number |
24
|
||||
| medlower | number |
23.95
|
||||
| medupper | number |
24.05
|
||||
| mu1 | integer |
27
|
||||
| object | string |
Data
|
||||
| objects | string |
data
|
||||
| r1 | list |
[ 25, 25, 23, 21, 25, 16 ]
|
||||
| sdwgt | number |
3.564
|
||||
| sed | number |
1.455
|
||||
| sedlower | number |
1.405
|
||||
| sedupper | number |
1.505
|
||||
| sig1 | integer |
6
|
||||
| stdlower | number |
3.539
|
||||
| stdupper | number |
3.589
|
||||
| sumx | number |
135
|
||||
| sumx2 | number |
3101
|
||||
| sumx2lower | number |
3100.95
|
||||
| sumx2upper | number |
3101.05
|
||||
| sumxlower | number |
134.95
|
||||
| sumxupper | number |
135.05
|
||||
| thismany | integer |
6
|
||||
| varlower | number |
12.652096
|
||||
| varupper | number |
12.752096
|
||||
| varx | number |
12.702096
|
Generated value: number
This variable doesn't seem to be used anywhere.
Gap-fill
Ask the student a question, and give any hints about how they should answer this part.
Calculate summary statistics for the sample. Use your calculator as much as possible. The only one you cannot easily use the caclulator for is the median.
Measures of central tendency
Mean ($\bar{x}$) =
Median =
Measures of variation (spread) around the mean
Standard deviation ($s$ or sd) =
Variance ($s^2$) =
Precision
Standard error (of the mean, $se$) =
Other summary statistics
Number of replicates (observations, $n$) =
Sum of observations =
Sum of squares of observations =
Use this tab to check that this question works as expected.
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