Answer:
We conclude that there has been a significant reduction in the proportion of females.
Step-by-step explanation:
We are given the following in the question:
Sample size, n = 400
p = 50% = 0.5
Alpha, α = 0.05
Number of women, x = 118
First, we design the null and the alternate hypothesis
This is a one-tailed test.
Formula:
Putting the values, we get,
Now, we calculate the critical value.
Now, 
Since the calculated z-statistic is less than the critical value, we fail to accept the null hypothesis and reject it. We accept the alternate hypothesis.
Thus, there has been a significant reduction in the proportion of females.
Answer: t = 340+22-10
Step-by-step explanation:
Hi, to answer this question we have to analyze each runner:
Norma takes 340 seconds to run the course.
Norma's time = 340
Jeremy takes 22 seconds longer to run a particular course than Norma. Since he takes seconds longer, we have to add that amount to Norma’s time:
Jeremy's time = Norma's time +22 = 340+22
Eleanor is a faster runner than Jeremy by more than 10 seconds. Since she is faster, we have to subtract 10 seconds to Jeremy's time to obtain Eleanor's time (t)
t = Jeremy's time - 10
t = 340+22-10 (seconds)
Answer:
(a) The probability that during the next hour less than 3 patients will be admitted is 0.00623.
(b) The probability that during the next two hours exactly 8 patients will be admitted is 0.00416.
Step-by-step explanation:
<u>The complete question is:</u> General Hospital has noted that they admit an average of 8 patients per hour.
(a) What is the probability that during the next hour less than 3 patients will be admitted?
(b) What is the probability that during the next two hours exactly 8 patients will be admitted?
The above situation can be represented through Poisson distribution as it includes the arrival rate of the pattern. So, the probability distribution of the Poisson distribution is given by;

Here X = Number of patients admitted in the hospital
= arrival rate of patients per hour = 9 patients
So, X ~ Poisson(
= 9)
(a) The probability that during the next hour less than 3 patients will be admitted is given by = P(X < 3)
P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)
=
=
= <u>0.00623</u>
(b) Here,
= 18 because we have to find the probability for the next two hours and we are given in the question of per hour.
So, X ~ Poisson(
= 18)
Now, the probability that during the next two hours exactly 8 patients will be admitted is given by = P(X = 8)
P(X = 8) =
= <u>0.00416</u>