It is $1.21 per song downloaded
Answer:
Salaried pay. Salaried employees make more per week than hourly employees.
Step-by-step explanation:
A salaried employee makes $67,000 per year. To know which option is better, we need to calculate how much hourly employees make in year.
An hourly employee needs to work 44 hours a week (0+10+8+8+7+6.5+4.5 = 40). So the first 40 hours will be paid 25$ per hour and the next 4 will be paid $37.50 per hour. So an hourly employee will make $1150 a week (40*$25 + 4*$37.50 = $1150).
Considering that a month has 4 weeks, and a year has 12 months, an hourly employee will make $55,200 a year ($1150*4*12=$55,200).
An hourly employee makes $55,200 a year, while a salaried employee makes $67,000. So I would recommend the option c) to a new employee.
Answer:
45%
Step-by-step explanation:
Here, we want to know the probability of a randomly selected yard having 6 or more than 6 trees
To get this, we simply add up the probability of 6 yards and above
That is the probability of 6, 8 , 10 and 12 yards
This is obtainable from the histogram
We then proceed to add up from the graph
What we have is;
0.05 + 0.25 + 0.10 + 0.05
= 0.10 + 0.10 + 0.25 = 0.45
This is same as 45/100 which is otherwise 45%
Answer:
The p value for this case would be given by:
For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis and we can conclude that the true mean is significantly higher than 0.1 and then Company B can reject the shipment
Step-by-step explanation:
Information provided
n=400 represent the random sample taken
X=59 represent number of defectives from the company B
estimated proportion of defectives from the company B
is the value to verify
represent the significance level
z would represent the statistic
represent the p value
Hypothesis to test
We want to verify if the true proportion of defectives is higher than 0.1 then the system of hypothesis are.:
Null hypothesis:
Alternative hypothesis:
The statistic would be given by:
(1)
Replacing the info given we got:
The p value for this case would be given by:
For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis and we can conclude that the true mean is significantly higher than 0.1 and then Company B can reject the shipment
C is correct. So it’s asking given any whole number Squared you will get another whole number squared but in reality there are only a few numbers like that and they are called perfect squares(4 16 36 81 121)
