function [lwr, upr] = calculate_mean_ci(x, sigma, level)
z = @(p) sqrt(2) * erfcinv(p*2); %function to calculate z-score for a particular
%value of significance level(alpha)
n = length(x); %size of the given sample
x_bar = mean(x); %mean of the given sample
alpha = 1-level/100; %alpha value (level = (1-alpha)*100)
zscore = z(alpha); %z-score for the calculated alpha
lwr = x_bar-zscore*(sigma/sqrt(n));
upr = x_bar+zscore*(sigma/sqrt(n));
end
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Solve it using matlab and there is an example for a similar one i put •...
• Write a function calculate_mean_ci(). • The inputs to this function are of the form (x, sigma, level). These are X: a numeric vector. sigma : population standard deviation. level : the confidence level given as a percentage, e.g., 95. • The output is a vector of length two of the form [lwr, upr), where MT lwr = ī – 20.025
Should be an easy one in MATLAB with a simple proof for part
(a). Thanks for the help in checking my answers:
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MATLAB
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MATLAB Question: Write a script for the problem pictured. Please
send the script, not just the printout. Make sure your script
allows you to input a value for n
so when prompted, in the command window, user types n value. The
n value should be the f_k if k ==1 .... Please also send print outs
if you can.
BELOW IS A SAMPLE ANSWER THAT DID NOT PUT THE INPUT SCRIPT
NEEDED FOR THIS QUESTION TO BE CORRECT. YOU CAN...
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help me please , By using MATLAB
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please solve the example
As with the confidence intervals, we will be assuming the two population standard deviations are equa but unknown. Thus, we will need to calculate the pooled standard deviation to use in our test statistic. Dur typical hypothesis test would be of the form H:44-42 = 8vs. H:4,-4, 78This is a two side test because the alternative is not equal. (H:14-4, <8, or H:44 - H2>, are also possible. Our test statistic is I X - X₂-8...
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