Answer: 
Explanation:
If r is the number of successes out of n trials , then the sample proportion of success = 
For binomial experiment , if the population probability of success p on a single trial is not given , then the best point estimate for probability of success p on a single trial is the sample proportion of successes.
i.e. a point estimate for the probability of success p on a single trial :

Hence, a point estimate for the probability of success p on a single trial = 
Answer:
Low balance checking account
Explanation:
Since Becca has a small amount of money, only $500, and only uses the ATM around 4 times per month, her best option is a low balance checking account. This type of checking account works very well for people that can only keep a small balance. Many banks don't charge fees for this type of account as long as you write only a limited number of checks, your bank statement is sent to you online, and you use only their ATMs.
The other types of checking accounts usually require much higher balances, and of the minimum balance is not met, then they will charge you a monthly fee.
With prestige goods and services, a higher price may, but not always, result in a higher sales volume.
<h3>What do economists mean by prestige goods?</h3>
Numerous products and services have prestige value, elevating the standing of their owners or users. Such items are referred to be prestige (or status, or positional) goods. These prestige products include things like jewelry, designer apparel, expensive homes and vehicles, and lavish entertainment.
<h3>Why is the demand curve for prestige items different?</h3>
Prestige goods may actually see an increase in demand as a result of price increases since customers perceive them to be more value. The demand curve slopes upward in certain circumstances.
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I don't understand? I can't see picture
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning