Answer:
Step-by-step explanation:
If repeated sample sizes of large sizes are taken at random, and proportion P is calculated for samples the sample mean will have a normal distribution irrespective of the original distribution.
In other words, the sample proportion will follow a normal distribution with mean = p-hat and std deviation =
This is a direct corrollary of central limit theorem for sample means.
Hence we have irrespective of sample size, sample proportion will have expected value same as p-hat.
So whether sample size is 500 or 100 the p hat will have the same distribution.
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:
z = -2
Step-by-step explanation:
3
Mark brainliest please
Hope this helps you
Okay so there are 52 weeks in a year and she runs 12 miles every week so multiply 52 times 12 which equals 624
