Answer:
CI = (98.11 , 98.49)
The value of 98.6°F suggests that this is significantly higher
Explanation:
Data provided in the question:
sample size, n = 103
Mean temperature, μ = 98.3
°
Standard deviation, σ = 0.73
Degrees of freedom, df = n - 1 = 102
Now,
For Confidence level of 99%, and df = 102, the t-value = 2.62 [from the standard t table]
Therefore,
CI =
![(Mean - (t*\sigma)/(√(n)),Mean + (t*\sigma)/(√(n)))](https://img.qammunity.org/2020/formulas/mathematics/college/zkb4idemg08yxfqkt6njtdao7u8vhc1pso.png)
Thus,
Lower limit of CI =
![(Mean - (t*\sigma)/(√(n)))](https://img.qammunity.org/2020/formulas/mathematics/college/u9mzdfk0c7ywqcjby8p71wwhj5z2i838ys.png)
or
Lower limit of CI =
![(98.3 - (2.62*0.73)/(√(103)))](https://img.qammunity.org/2020/formulas/mathematics/college/vcdiglmldh322hna840jri2k0t49t6c87c.png)
or
Lower limit of CI = 98.11
and,
Upper limit of CI =
![(Mean + (t*\sigma)/(√(n)))](https://img.qammunity.org/2020/formulas/mathematics/college/njm2licaw6q3gsz8lsgszu2s2jcs9gmwmo.png)
or
Upper limit of CI =
![(98.3 + (2.62*0.73)/(√(103)))](https://img.qammunity.org/2020/formulas/mathematics/college/f4nbou23hnfa3on8nydlqi6oil2bivneb1.png)
or
Upper limit of CI = 98.49
Hence,
CI = (98.11 , 98.49)
The value of 98.6°F suggests that this is significantly higher and the mean temperature could very possibly be 98.6°F