Question

In: Statistics and Probability

A fintech startup company claims that its mobile payment application will be accepted by at least...


A fintech startup company claims that its mobile payment application will be accepted by at least 80 percent of hotels in the U.S. A survey, carried out by a consulting firm, of a random sample of 150 American hotels found that the application payment was not accepted in 36 of these hotels.
a. Using a suitable distributional approximation and the 5% significance level, test the validity of the claim made by the company.
Maria went on holiday in Chicago and stayed in 11 different hotels. She found that the mobile application was not accepted in 7 of these hotels.
b. Assuming that these hotels may be regarded as a random sample of all American hotels, test the validity of the claim made by the fintech company, using the 1% significance level.
c. Discuss the conclusions that you reached in parts (a) and (b). Include in your answer two possible reasons why it may be inappropriate to assume that the hotels used by Maria may be regarded as a random sample of all American hotels.

Solutions

Expert Solution

a.
Given that,
possibile chances (x)=36
sample size(n)=150
success rate ( p )= x/n = 0.24
success probability,( po )=0.8
failure probability,( qo) = 0.2
null, Ho:p=0.8
alternate, H1: p!=0.8
level of significance, α = 0.05
from standard normal table, two tailed z α/2 =1.96
since our test is two-tailed
reject Ho, if zo < -1.96 OR if zo > 1.96
we use test statistic z proportion = p-po/sqrt(poqo/n)
zo=0.24-0.8/(sqrt(0.16)/150)
zo =-17.146
| zo | =17.146
critical value
the value of |z α| at los 0.05% is 1.96
we got |zo| =17.146 & | z α | =1.96
make decision
hence value of | zo | > | z α| and here we reject Ho
p-value: two tailed ( double the one tail ) - Ha : ( p != -17.14643 ) = 0
hence value of p0.05 > 0,here we reject Ho
ANSWERS
---------------
null, Ho:p=0.8
alternate, H1: p!=0.8
test statistic: -17.146
critical value: -1.96 , 1.96
decision: reject Ho
p-value: 0
we have enough evidence to support the claim that the mobile payment application will accepted by at least 80% of hotels in the US.
b.
Given that,
possibile chances (x)=7
sample size(n)=11
success rate ( p )= x/n = 0.636
success probability,( po )=0.8
failure probability,( qo) = 0.2
null, Ho:p=0.8
alternate, H1: p!=0.8
level of significance, α = 0.01
from standard normal table, two tailed z α/2 =2.576
since our test is two-tailed
reject Ho, if zo < -2.576 OR if zo > 2.576
we use test statistic z proportion = p-po/sqrt(poqo/n)
zo=0.63636-0.8/(sqrt(0.16)/11)
zo =-1.357
| zo | =1.357
critical value
the value of |z α| at los 0.01% is 2.576
we got |zo| =1.357 & | z α | =2.576
make decision
hence value of |zo | < | z α | and here we do not reject Ho
p-value: two tailed ( double the one tail ) - Ha : ( p != -1.3568 ) = 0.17484
hence value of p0.01 < 0.1748,here we do not reject Ho
ANSWERS
---------------
null, Ho:p=0.8
alternate, H1: p!=0.8
test statistic: -1.357
critical value: -2.576 , 2.576
decision: do not reject Ho
p-value: 0.17484
we do not have enough evidence to support the claim that the mobile payment application will accepted by at least 80% of hotels in the US.
c.
from part (a), it reject the null hypothesis,the mobile payment application will accepted by at least 80% of hotels in the US.
from part (b), it fails to reject the null hypothesis , random sample of all American hotels, test the validity of the claim made by the fintech company.


Related Solutions

3.7 An insurance company is looking to replace its legacy claims payment system. The Technology Steering...
3.7 An insurance company is looking to replace its legacy claims payment system. The Technology Steering Committee is willing to explore three alternative systems. Table EX 3.7 summarizes the cost savings for each system under potential peak claims volumes. Payoff: Cost Savings (in $000s) for Peak Claims Volumes System 5,000,000 Claims 10,000,000 Claims 15,000,000 Claims A 35 70 105 B (50) Take negative 50 because it is in parentheses 85 170 C 10 25 75 a. The most recent system...
An insurance company states that at least 85% of its claims are settled within 30 days.
4) (1 point) An insurance company states that at least 85% of its claims are settled within 30 days. A consumer group selected a random sample of 66 of the company's claims to test this statement. They found that 55 of the claims were settled within 30 days. Does the consumer group have evidence to disbelieve the insurance company's claim? 1. Write the hypotheses to test if the rate of claims settled within 30 days is less than 85%. H0H0:...
(1 point) An insurance company states that at least 86% of its claims are settled within...
(1 point) An insurance company states that at least 86% of its claims are settled within 30 days. A consumer group selected a random sample of 73 of the company's claims to test this statement. They found that 60 of the claims were settled within 30 days. Does the consumer group have evidence to disbelieve the insurance company's claim? 1. Write the hypotheses to test if the rate of claims settled within 30 days is significantly less than 86%. H0H0:...
A telephone company claims that less than 20% of its customers have at least two telephone...
A telephone company claims that less than 20% of its customers have at least two telephone lines. The company selects a random sample of 500 customers and finds that 88 have two or more telephone lines. Use LaTeX: \alpha α = 0.05 and the P-value method. Correctly state a) your conclusion about what to do with H0 AND b) your conclusion about the claim that is being made.
15. If a life insurance company accepted all application with no medical underwriting and changed all...
15. If a life insurance company accepted all application with no medical underwriting and changed all sured the same price for a 500,000 life insraucne policy and there were no exclusions other than the suide clause, what would be the most likely result? A. This company would prosper due to marketing genius B. This company would invest in high grade bonds C. This company would become insolvent due to moral hazard D. This company would become insolvent due to adverse...
Does Mobile Payment Technologies have any Tradeoff’s with its use in E-Commerce What controls are or...
Does Mobile Payment Technologies have any Tradeoff’s with its use in E-Commerce What controls are or should there be with Mobile Payment Technologies How does Mobile Payment Technologies benefit society
An auto maker claims that the mean gas mileage of its luxury sedan is at least...
An auto maker claims that the mean gas mileage of its luxury sedan is at least 25 miles per gallon. A random sample of 36 such cars were tested and resulted in a sample mean of 24.2 miles per gallon and a sample standard deviation of 2.8 miles per gallon. At α = 0.05, is there sufficient evidence to reject the auto maker’s claim? Claim: H0: H1: Test Statistic: Critical Region/Critical Value: Decision about H0:
a. A company that makes pregnancy test claims to be at least 98% accurate A SRS...
a. A company that makes pregnancy test claims to be at least 98% accurate A SRS of 5678 women who used these test were contacted and it was found that 102 did not correctly indicate pregnancy. Using ∝= 0.05 determine whether the company’s claim is accurate. b. Another company that makes pregnancy tests claims to be at least 98% accurate A SRS of 312 women who used these test were contacted and it was found that 6 did not correctly...
An insurance company states that at least 86% of its claims are settled within 30 days. A consumer group selected a random sample of 73 of the company's claims to test this statement.
An insurance company states that at least 86% of its claims are settled within 30 days. A consumer group selected a random sample of 73 of the company's claims to test this statement. They found that 60 of the claims were settled within 30 days. Does the consumer group have evidence to disbelieve the insurance company's claim?1. Write the hypotheses to test if the rate of claims settled within 30 days is significantly less than 86%.H0H0: The proportion of claims...
BlueSky Air claims that at least 80% of its flights arrive on time. A random sample...
BlueSky Air claims that at least 80% of its flights arrive on time. A random sample of 160 BlueSky Air flights revealed that 115 arrive on time. Do the data provide sufficient evidence to contradict the claim by BlueSky Air (i.e., you would like to see whether the percentage of the airline's flight is below what the airline claims)? Part iii) Compute the P-value (please round to four decimal places):
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT