Answer:
A one-tailed hypothesis will be used to perform the test.
Step-by-step explanation:
The purpose of the marketing research consultant hired by Coca-Cola is to determine whether the the proportion of customers who prefer Coke to other brands is over 50%.
The marketing research consultant selected a random sample of <em>n</em> = 200 customers. The sample proportion of people who favored Coca-Cola over other brands was 55%.
The marketing research consultant can perform a single proportion hypothesis test to determine whether greater than 50% of customers prefer Coca-Cola to other brands.
Since we need to determine whether the population percentage is greater than a null value, the hypothesis is not two-tailed.
The hypothesis can be defined as:
<em>H₀</em>: The proportion of people who favor Coca-Cola over other brands was 55%, i.e. <em>p</em> = 0.50.
<em>Hₐ</em>: The proportion of people who favor Coca-Cola over other brands was more than 55%, i.e. <em>p</em> > 0.50.
Thus, a one-tailed hypothesis will be used to perform the test.
Answer:
The probability that you lose at most 2 out of your 6 races is 0.54432.
Step-by-step explanation:
We are given that you are running a race. The probability that you win is 3/5.
There are total of 6 races.
The above situation can be represented through binomial distribution;

where, n = number of trials (samples) taken = 6 races
r = number of success = at most 2 lost
p = probability of success which in our question is probability that
you lose a race = 1 - (3/5) = 2/5 or 0.4
Let X = <u><em>Number of races lost </em></u>
So, X ~ Binom(n = 6, p = 0.40)
Now, the probability that you lose at most 2 out of your 6 races is given by = P(X
2)
P(X
2) = P(X = 0) + P(X = 1) + P(X = 2)
=
=
= <u>0.54432</u>
Answer:
i don't know what grade this is
Step-by-step explanation:
i don't know
I think this is the answer you are looking for