Answer:
Explanation:
Hello!
The researchers are interested in estimating the difference between the average valence of metal songs and the average valence of blues songs.
To do so, two independent samples were taken:
Sample 1
X₁: Valence of a heavy metal song.
n₁= 87 metal songs
X[bar]₁= 0.451
S₁= 0.139
Sample 2
X₂: Valence of a blues song.
n₂= 94 blues songs
X[bar]₂= 0.581
S₂= 0.167
There is no information about the distribution of the variables but since both samples sizes are big enough (both are higher than 30) I'll apply the Central Limit Theorem and approximate the distribution of both samples means to normal:
X[bar]₁ ≈N(μ₁;δ₁²/n₁)
X[bar]₂ ≈N(μ₂;δ₂²/n₂)
Now it is valid to use an approximation to the standard normal to calculate the 90% confidence interval:
[(X[bar]₁ - X[bar]₂) ±
*
]
[(0.451-0.581)±1.648*
]
[-0.168;-0.093]
With a confidence level of 90%, you'd expect that the interval [-0.168;-0.093] will contain the difference between the population mean of the valence of heavy metal songs and the population mean of the valence of blues songs.
I hope it helps!