I just need the fill in values part
1 answer:
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Answer with Step-by-step explanation:
Since we have given that
Mean = 150
Standard deviation = 8.8
An admissions officer at a large graduate school believes the mean is less than 150.
a)Determine the null and alternative hypotheses.
So, hypothesis :
b)Explain what it would mean to make a Type I Error.
As we know that Type 1 error are those errors in which null hypothesis is supposed to be rejected but not get rejected.
So, here, mean is not less than 150 but in actual it is less than 150.
c)Explain what it would mean to make a Type II Error.
As we know that Type II error are those errors in which null hypothesis is not supposed to be rejected but it gets rejected.
So, mean is less than 150 but actually it is not less than 150.
Answer:
the x² test statistic 13.71
Option a) 13.71 is the correct answer.
Step-by-step explanation:
Given the data in the question;
Feeder 1 2 3 4
Observed visits; 60 90 92 58
data sample = 300
Expected = 300 / 4 = 75
the x² test statistic = ?
= ∑[ (
-
)²/
]
= [ (60 - 75)² / 75 ] + [ (90 - 75)² / 75 ] + [ (92 - 75)² / 75 ] + [ (58 - 75)² / 75 ]
= [ 3 ] + [ 3 ] + [ 3.8533 ] + [ 3.8533 ]
= 13.7066 ≈ 13.71
Therefore, the x² test statistic 13.71
Option a) 13.71 is the correct answer.