Inference for proportions - true/false - Numbas at mathcentre.ac.uk

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From users who are members of Stats :

Mario Orsi

said

Ready to use

3 years, 4 months ago

From users who are not members of Stats :

Mohamed Abdullah

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Doesn't work

3 years, 5 months ago

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Mario Orsi 3 years, 4 months ago

Gave some feedback: Ready to use

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Mohamed Abdullah 3 years, 5 months ago

Gave some feedback: Doesn't work

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Mario Orsi 4 years, 5 months ago

Published this.

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Mario Orsi 5 years, 3 months ago

Gave some feedback: Ready to use

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Mario Orsi 5 years, 5 months ago

Created this as a copy of Stress/strain curves - true/false.

Name	Status	Author	Last Modified
Bonding - true/false	Ready to use	Mario Orsi	02/05/2023 19:37
Inference for proportions - true/false	Ready to use	Mario Orsi	15/05/2023 11:12
Chi-square: true/false	Ready to use	Mario Orsi	08/12/2021 10:54
Paired data - true/false	Ready to use	Mario Orsi	31/01/2020 13:19
ANOVA - true/false	Ready to use	Mario Orsi	29/09/2021 09:29
Linear regression - true/false	Ready to use	Mario Orsi	28/04/2021 15:45
Multiple regression - true/false	Ready to use	Mario Orsi	17/05/2023 10:18
Confidence intervals - true/false	Ready to use	Mario Orsi	27/03/2020 16:48

There are 58 other versions that do you not have access to.

Question statement

Identify each of the following statements as true or false:

Give any introductory information the student needs.

			Name	Type	Generated Value

t_statements	list	List of 7 items
f_statements	list	List of 7 items
statements	list	List of 14 items
statement_marks	list	Nested 14×2 list
choices	list	[ 11, 7, 0, 2, 3, 13 ]

			Name	Type	Generated Value

nYes	integer	138
pYes	number	0.37
nNo	integer	5
pNo	number	0.36
n	integer	114
p	number	0.9
se2	number	0.000789
se	number	0.0281
se2_pc	number	0.0789
se_pc	number	2.81
p1	number	0.42
n1	integer	119
p2	number	0.12
n2	integer	107
se_diff2	number	0.00303
se_diff	number	0.0551

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Description

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Generated value: `list`

[ "If $n=\\var{nYes}$ and $p=\\var{pYes}$, the success-failure condition is satisfied.", "Assuming that the sampling distribution of $\\hat{p}$ is nearly normal, if $n=\\var{n}$ and $p=\\var{p}$, then $SE=\\var{se_pc}\\%$.", "Assuming that the sampling distribution of $\\hat{p}_1-\\hat{p}_2$ is nearly normal, if $n_1=\\var{n1}$, $n_2=\\var{n2}$, $p_1=\\var{p1}$ and $p_2=\\var{p2}$, then the standard error to use for a confidence interval is $SE=\\var{se_diff}$.", "The pooled proportion is used to check the success-failure condition when $H_0: p_1=p_2$.", "The margin of error for a sample proportion can be reduced by increasing the sample size (all else being equal).", "To test the difference of two proportions, the corresponding sample sizes need not be equal.", "Inference methods for proportions are appropriate for categorical data." ]

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