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Here are the steps to find the confidence interval(CI):
Select Confidence level(CL): 95%(given)
Calculate Margin of Error(ME):
Follow below steps -
Find Standard Error(SE)
SE = σ/sqrt(n) = 80/10 = 8
Find Critical Value:
Calculate alpha(α)
α = 1-CL/100 = 1-0.95 = 0.05
Calculate Critical Probability(p*)
p* = 1-α/2 = 1-0.025 = 0.975
Compute degree of freedom(df)
df = n-1 = 100-1 = 99
Therefore, critical value is t-statistics having 99 df and cumulative prob. equals to 0.975
Or, We can also expressed the critical value as a z-score since the
sample size is large, so a z-score analysis produces the same
result.
critical value = 1.96.
ME = critical value * SE
In our case, ME = 1.96*8
The range of the confidence interval is
(sample statistic - margin of error, sample statistic + margin of error)
In our case, CI = (500-1.96*8, 500+1.96*8)
or, CI = (484.32, 515.68)
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The Central Limit Theorem #4
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Here are the steps to find the confidence interval(CI):
Select Confidence level(CL): 95%(given)
Calculate Margin of Error(ME):
Follow below steps -
Find Standard Error(SE)
SE = σ/sqrt(n) = 80/10 = 8
Find Critical Value:
Calculate alpha(α)
α = 1-CL/100 = 1-0.95 = 0.05
Calculate Critical Probability(p*)
p* = 1-α/2 = 1-0.025 = 0.975
Compute degree of freedom(df)
df = n-1 = 100-1 = 99
Therefore, critical value is t-statistics having 99 df and cumulative prob. equals to 0.975 Or, We can also expressed the critical value as a z-score since the
sample size is large, so a z-score analysis produces the same
result.
critical value = 1.96.
ME = critical value * SE In our case, ME = 1.96*8
The range of the confidence interval is (sample statistic - margin of error, sample statistic + margin of error)
In our case, CI = (500-1.96*8, 500+1.96*8)
or, CI = (484.32, 515.68)