Answer:
At least 6907 people.
Step-by-step explanation:
Population std deviation = sigma= 10.6
Since population std deviation is known, we can use normal probability table to get sample size from confidence interval.
The sample mean weight loss is within 0.25 lb of the true population mean.
Hence margin of error < 0.25
Margin of error = z critical (std dev/n) where n = sample size
Z critical for 95% = 1.96
Hence 0.25 >1.96(10.6)/sq rt n
Simplify to get
sq rt n > 1.96(10.6)/0.25 = 83.104
Square both the sides to get
n > 83.104 square = 6906.27
i.e. sample size should be atleast 6907.
Answer:
<u>The probability that Deena will choose a pair of white socks is 4/10 or 40%</u>
Step-by-step explanation:
Let's check the information provided to us to answer the question correctly:
Total pairs or socks Deena has = 10
Pairs of white socks Deena has = 4
Pairs of black socks Deena has = 3
Pairs of red socks Deena has = 1
Pairs of navy socks Deena has = 2
If she pulls a pair of socks out of her drawer in the morning without looking, what is the probability that she will choose a pair of white socks?
Probability of Deena will choose a pair of white socks = Pairs of white socks Deena has/Total pairs or socks Deena has
Replacing with the real values, we have:
Probability of Deena will choose a pair of white socks = 4/10 or 40%
Answer:
f^-1(x)= -x/5 - 4/5
Step-by-step explanation:
