Answer:
1/50
Step-by-step explanation:
Given that:
- Three men: 3
- Seven women = 7
- Total number of people: 7+3 =10
We need to find the probability that no man will be interviewed until at least two women have been interviewed. So there are two possible probabilities are:
1. One man and two women => P(1 man and 2 women) = 3/10*2/9 = 1/15
2. Three women => P(3 women) = 3/10
Hence, the probability in this situation is: 1/15*3/10 = 1/50
If by markup you mean discount then.....
1.5*0.07 = $0.105
That must be a very good pen ;D
Answer:
Step-by-step explanation:
In order to find who is more efficient at planting carrots, we want to put both ratios in terms of the same amount of time.
For simplicity, lets see how many carrots each can make in 1 hour.
Janet can plant 36 feet of carrots in one hour
Amy can plant 34 feet of carrots in one hour
So, Janet can plant carrots more quickly
Answer:
The correct answer to the following question will be "280 units".
Step-by-step explanation:
The given values are:
Mean = 200
Standard deviation = 30
Let's ask that the supplier needs to reach 99.9% of the standard of operation. To reach this quality of operation, she has to preserve an inventory of
Now,
⇒ 
On putting the values, we get
⇒ 
⇒ 
⇒ 
290 units would then accomplish a level of service of 99.9%.
Half unpurchased units can indeed be purchased at $30000 i.e. no failure. If he requests 300, there will be losses on 5 products that are unsold.
Hence, ordering 280 units seems to be preferable
Answer:
Larger sample size gives less std error and hence test statistic is larger.
Step-by-step explanation:
Given that a newspaper is conducting a statewide survey concerning the race for governor. The newspaper will take a simple random sample of n registered voters and determine X = the number of voters that will vote for the Democratic candidate. Is there evidence that a clear majority of the population will vote for the Democratic candidate
Group I II
Success 640 64
Total 1200 120
p 0.533333333 0.533333333
q 0.466666667 0.466666667
se 0.014401646 0.045542003
p diff 0.033333333 0.033333333
Z 2.314550249 0.731925055
p 0.01 0.233
we find that though p is the same, std error is very small for larger sample size thus making z statistic much bigger. So we get p value less than 0.05 whereas for 120 sample size, std error is large so Z statistic is small thus making p value to accept null hypothesis
