The probability that the hours of sleep per night for a random sample of 4 college students has a mean x bar between 6.6 and 6.93 is 0.2209.
It is defined as the ratio of the number of favorable outcomes to the total number of outcomes, in other words, the probability is the number that shows the happening of the event.
We have:
SD(X) = 1.12 hours
Number of samples N = 4
Mean = 6.94
SD = 1.12/√4
SD = 0.56
Z = (X - mean)/SD = (X - 6.94)/0.56
[tex]\rm P(6.6 < X < 6.93)=P(X < 6.93)-P(X < 6.6)[/tex]
[tex]\rm = P(\dfrac{X-6.94}{0.56} < \dfrac{6.93-6.94}{0.56}) - P(\dfrac{X-6.94}{0.56} < \dfrac{6.6-6.94}{0.56})[/tex]
= P(Z < -0.0178) - P(Z < -0.607)
= 0.4929 - 0.27193
= 0.2209
Thus, the probability that the hours of sleep per night for a random sample of 4 college students has a mean x bar between 6.6 and 6.93 is 0.2209.
Learn more about the probability here:
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