1990, 5.8% of job applicants who were tested for drugs failed the test. At the 0.05 significance​ level, test the claim that the failure rate is now lower if a random sample of 1520 current job applicants results in 67 failures. efine the parameter     A. mu   ​= The proportion of all applicants that now fail the drug test   B. p​ = The proportion of all applicants that now fail the drug test   C. mu   ​= The mean number of all applicants that now fail the drug test   D. p​ = The proportion of all applicants that now pass the drug test   b. State the null and alternative hypotheses     A. Upper H 0 : p equals 67    Upper H 1 : p less than 67     B. Upper H 0 : p equals 0.058 Upper H 1 : p less than 0.058     C. Upper H 0 : p not equals 0.058 Upper H 1 : p equals 0.058     D. Upper H 0 : p greater than 0.058 Upper H 1 : p equals 0.058     c. Calculate the sample proportion ModifyingAbove p with caret . Which of these options is closest to ModifyingAbove p with caret ​?     A. 0.0154     B. 0.2428     C. 0.0475     D. 0.0441     d. Calculate the test statistic z. Which of these options is closest to​ z?     A. negative 2.51     B. negative 2.32     C. negative 2.14     D. negative 1.38     e. Calculate the​ P-value. Which of these options is closest to the​ P-value?     A. 0.0199     B. 0.0003     C. 0.0102     D. 0.1978     f. State the technical conclusion     A. Do not reject Upper H 0     B. Reject Upper H 0     g. State the final conclusion     A. The sample data support the claim.   B. There is sufficient evidence to warrant rejection of the claim.   C. There is not sufficient sample evidence to support the claim.   D. There is not sufficient evidence to warrant rejection of the claim.   h. Based on the​ results, does it appear that fewer job applicants now use​ drugs?     A. Yes   B. No

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n​ 1990, 5.8% of job applicants who were tested for drugs failed the test. At the 0.05 significance​ level, test the claim that the failure rate is now lower if a random sample of 1520 current job applicants results in 67 failures.

efine the parameter
 
 
A.
mu
 
​= The proportion of all applicants that now fail the drug test
 
B.
p​ = The proportion of all applicants that now fail the drug test
 
C.
mu
 
​= The mean number of all applicants that now fail the drug test
 
D.
p​ = The proportion of all applicants that now pass the drug test
 
b. State the null and alternative hypotheses
 
 
A.
Upper H 0 : p equals

67

  
Upper H 1 : p less than

67

 
 
B.
Upper H 0 : p equals 0.058 Upper H 1 : p less than 0.058
 
 
C.
Upper H 0 : p not equals 0.058 Upper H 1 : p equals 0.058
 
 
D.
Upper H 0 : p greater than 0.058 Upper H 1 : p equals 0.058
 
 
c. Calculate the sample proportion
ModifyingAbove p with caret
.

Which of these options is closest to

ModifyingAbove p with caret
​?
 
 
A.
0.0154
 
 
B.
0.2428
 
 
C.
0.0475
 
 
D.
0.0441
 
 
d. Calculate the test statistic z. Which of these options is closest to​ z?
 
 
A.
negative 2.51
 
 
B.
negative 2.32
 
 
C.
negative 2.14
 
 
D.
negative 1.38
 
 
e. Calculate the​ P-value. Which of these options is closest to the​ P-value?
 
 
A.
0.0199
 
 
B.
0.0003
 
 
C.
0.0102
 
 
D.
0.1978
 
 
f. State the technical conclusion
 
 
A.
Do not reject Upper H 0
 
 
B.
Reject Upper H 0
 
 
g. State the final conclusion
 
 
A.
The sample data support the claim.
 
B.
There is sufficient evidence to warrant rejection of the claim.
 
C.
There is not sufficient sample evidence to support the claim.
 
D.
There is not sufficient evidence to warrant rejection of the claim.
 
h. Based on the​ results, does it appear that fewer job applicants now use​ drugs?
 
 
A.
Yes
 
B.
No
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