An online retailer would like to know whether the proportion of customers who visit the site and make a purchase different than 50%. A simple random sample of customers is taken. The results of the sample are shown below. Customer sample What is the population parameter? made a purchase 45 Observations 120 Pick Confidence Level 99% Critical value -2.58 What condition for using a z-distribution is met? test statistic (z) -2.74 p-value 0.006 Pick What is the level of significance? Ex: 0.12 What is the null hypothesis Ho? Pick What is the alternative hypothesis H? Pick Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? evidence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%. Pick
An online retailer would like to know whether the proportion of customers who visit the site and make a purchase different than 50%. A simple random sample of customers is taken. The results of the sample are shown below. Customer sample What is the population parameter? made a purchase 45 Observations 120 Pick Confidence Level 99% Critical value -2.58 What condition for using a z-distribution is met? test statistic (z) -2.74 p-value 0.006 Pick What is the level of significance? Ex: 0.12 What is the null hypothesis Ho? Pick What is the alternative hypothesis H? Pick Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? evidence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%. Pick
MATLAB: An Introduction with Applications
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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An online retailer would like to know whether the proportion of customers who visit the site and make a purchase is
different than 50%. A simple random sample of customers is taken. The results of the sample are shown below.
Customer sample
What is the population parameter?
45
made a purchase
Observations
120
Pick
Confidence Level
99%
Critical value
-2.58 What condition for using a z-distribution is met?
test statistic (z)
-2.74
p-value
0.006
Pick
What is the level of significance? Ex: 0.12
What is the null hypothesis H? Pick
What is the alternative hypothesis H? Pick
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
vevidence exists to support the claim that the number of customers who visit the site and make a
purchase is not 50%.
Pick
ミ
Check
Try again](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fad9ec8cd-46bd-4b26-93cc-07eb1ee90997%2F525f7a82-490f-4c9d-82e1-b01c6266a304%2Fbe5gfm8_processed.jpeg&w=3840&q=75)
Transcribed Image Text:12:00
al 70%i
Send a chat
An online retailer would like to know whether the proportion of customers who visit the site and make a purchase is
different than 50%. A simple random sample of customers is taken. The results of the sample are shown below.
Customer sample
What is the population parameter?
45
made a purchase
Observations
120
Pick
Confidence Level
99%
Critical value
-2.58 What condition for using a z-distribution is met?
test statistic (z)
-2.74
p-value
0.006
Pick
What is the level of significance? Ex: 0.12
What is the null hypothesis H? Pick
What is the alternative hypothesis H? Pick
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
vevidence exists to support the claim that the number of customers who visit the site and make a
purchase is not 50%.
Pick
ミ
Check
Try again
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