Answer:
Step-by-step explanation:
Given that x = no of movies high school students watched is N(6.8, 1.8)
Sample size = 36 and hence std error = 1.8/6 = 0.3
(two tailed test)
Mean difference = 6.2-6.8 = -0.6
Test statistic z = -0.6/0.3= -2
p value = 0.02275
Since p <0.05 we reject H0.
There is evidence to show that college students watch fewer movies a month than high school students
Answer:
a) 14960 bottles
b) 502 bottles
Step-by-step explanation:
Given that:
Mean (μ) = 24 ounces, standard deviation (σ) = 0.14 ounces
a) From empirical rule (68−95−99.7%) , 68% of the population fall within 1 standard deviation of the mean (μ ± 1σ).
Therefore 68% fall within 0.14 ounces of the mean
the number of bottle = 22,000*68% = 14960 bottles
b) To solve this we are going to use the z score equation given as:
where x is the raw score = 23.72
From the normal probability distribution table: P(X < 23.72) = P (Z < -2) = 0.0228
The number of rejected bottles = 22000 × 0.0228 = 502 bottles
