Answer:
Option D (APEX)
Step-by-step explanation:
L= Student has lice
NL= Student has no lice
PT=Test Shows positive
NT=Test Shows negative
P(
) =0.7708 (Probability that a student has no lice and the test shows negative)
P(
) = 0.0108 ( Probability that a student has lice and the test shows negative)
= 


- 0.98618219 (Simplify)
<u> Terms Of Percentages</u>
0.98618219 × 100
=98.6
Therefore your answer is 98.6% (Option D)
APEX
Answer:
3/14
Step-by-step explanation:
9514 1404 393
Answer:
117°
Step-by-step explanation:
We assume you want to report your bearing as an angle measured CW from North. For conventional angles greater than 90°, it will be ...
450° -angle = 450° -333° = 117°
The bearing of the ship is 117°.
Answer:
D
Step-by-step explanation:
:D
Answer:
a)Null hypothesis:
Alternative hypothesis:
b) A Type of error I is reject the hypothesis that
is equal to 40 when is fact
, is different from 40 hours and wish to do a statistical test. We select a random sample of college graduates employed full-time and find that the mean of the sample is 43 hours and that the standard deviation is 4 hours. Based on this information, answer the questions below"
Data given
represent the sample mean
population mean (variable of interest)
s=4 represent the sample standard deviation
n represent the sample size
Part a: System of hypothesis
We need to conduct a hypothesis in order to determine if actual mean is different from 40 , the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
Part b
In th context of this tes, what is a Type I error?
A Type of error I is reject the hypothesis that
is equal to 40 when is fact [tex]\mu is equal to 40
Part c
Suppose that we decide not to reject the null hypothesis. What sort of error might we be making.
We can commit a Type II Error, since by definition "A type II error is the non-rejection of a false null hypothesis and is known as "false negative" conclusion"