Calculating Confidence Interval at a certain confidence level

Multi tool use
$begingroup$
def get_ci(mean, cl, sd):
loc = stats.norm.ppf(1 - cl/2)
rng_val = stats.norm.cdf(loc - mean/sd)
lwr_bnd = value - rng_val
upr_bnd = value + rng_val
return_val = (lwr_bnd, upr_bnd)
return(return_val)
This function takes three parameters which are the following:
mean --> It is the mean
cl --> Confidence Level
sd --> Standard Deviation
Can someone explain how this function is working as for example if we are calculating 95% confidence interval, why can't we just return (-2*sd+mean,2*sd+mean)
?
python statistics
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Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
def get_ci(mean, cl, sd):
loc = stats.norm.ppf(1 - cl/2)
rng_val = stats.norm.cdf(loc - mean/sd)
lwr_bnd = value - rng_val
upr_bnd = value + rng_val
return_val = (lwr_bnd, upr_bnd)
return(return_val)
This function takes three parameters which are the following:
mean --> It is the mean
cl --> Confidence Level
sd --> Standard Deviation
Can someone explain how this function is working as for example if we are calculating 95% confidence interval, why can't we just return (-2*sd+mean,2*sd+mean)
?
python statistics
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
def get_ci(mean, cl, sd):
loc = stats.norm.ppf(1 - cl/2)
rng_val = stats.norm.cdf(loc - mean/sd)
lwr_bnd = value - rng_val
upr_bnd = value + rng_val
return_val = (lwr_bnd, upr_bnd)
return(return_val)
This function takes three parameters which are the following:
mean --> It is the mean
cl --> Confidence Level
sd --> Standard Deviation
Can someone explain how this function is working as for example if we are calculating 95% confidence interval, why can't we just return (-2*sd+mean,2*sd+mean)
?
python statistics
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
def get_ci(mean, cl, sd):
loc = stats.norm.ppf(1 - cl/2)
rng_val = stats.norm.cdf(loc - mean/sd)
lwr_bnd = value - rng_val
upr_bnd = value + rng_val
return_val = (lwr_bnd, upr_bnd)
return(return_val)
This function takes three parameters which are the following:
mean --> It is the mean
cl --> Confidence Level
sd --> Standard Deviation
Can someone explain how this function is working as for example if we are calculating 95% confidence interval, why can't we just return (-2*sd+mean,2*sd+mean)
?
python statistics
python statistics
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Kartikeya SharmaKartikeya Sharma
1032
1032
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Kartikeya Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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