45% of 76
45%=0.45
0.45*76
34.2
34.2 is about 34
so 34
Answer:
11-2 or 9
Step-by-step explanation:
Answer:
The test statistics is
Step-by-step explanation:
From the question we are told that
The sample size is n = 100
The null hypothesis is 
The alternative hypothesis is 
The sample mean is 
The standard deviation is 
The level of significance is 
Generally the test statistics is mathematically represented as

=> 
=>
I'm pretty sure this is correct