One​ season, the average little league baseball game averaged

2

hours and

3

minutes

​(151

​minutes) to complete. Assume the length of games follows the normal distribution with a standard deviation of

10 minutes

Complete parts a through d below.

The probability that a randomly selected game will be completed in less than

140

minutes is

0.13570

​(Round to four decimal places as​ needed.)

The probability that a randomly selected game will be completed in more than

140

minutes is

. 8643.

​(Round to four decimal places as​ needed.)

The probability that a randomly selected game will be completed in exactly

140

minutes is

00.

​(Round to four decimal places as​ needed.)

d. What is the completion time in which

99​%

of the games will be​ finished?

thjis is the right question pls ans this

Part 1: Please read the business statement below and draw ER, NER, and Table Schema diagrams for it.

Business Statement:

The project is about developing an auction Web site. The details are as follows:

BA is an online auction Web site. People can buy and sell items in this Web site. Buyers are people who like to buy items, and sellers are people who like to sell items.

• Each seller can sell items.

• Each item has a bidding start time, an end time, and an owner. Sellers are owners of

  their item. The start time and end time include the date as well.

• Each seller has a name, contact information, and credit card information. They also have a user name and a password.

• Contact information consists of an address, an email, and a telephone.

• An address consists of a street number and name, city, state, and zip code.

• Credit card information consists of owner name, card number, and expiration date.

• Each item has a name, condition, an initial price, a description, quantity, one or more pictures, and an owner.

• The condition could be New, Refurbished, or Explained. If the condition of an item is set to Explained, the seller should explain about the item condition in the item description.

• Each buyer has a name, contact information, and credit card information. They also have a user name and a password.

• When buyers login to Web site, they can go to the list of all available items and then go to the item detail page. Buyers can also search for an item. The application will search through item names for the search phrase.

• Buyers can bid on items. Once a bid is made, buyers are accountable for their bid. In other words, buyers cannot simply remove their bid. If they change their mind, all they can do is to update their bid with the price of zero. Of course, they can do that before the auction expires.

• After an auction expires, the buyer with the highest bid is the winner.

Part 2: Please write SQL Query for each statement below.

• BA likes to have a set of statistics about the system as follows:

• The most active seller (the one who has offered the most number of items)

• The most active buyer (the one who has bought the most number of items)

• The most expensive item sold ever

• The most expensive item available

• The cheapest item sold ever

• The cheapest item available

Part 1: Please read the business statement below and draw ER, NER, and Table Schema diagrams for it.

Business Statement:

The project is about developing an auction Web site. The details are as follows:

BA is an online auction Web site. People can buy and sell items in this Web site. Buyers are people who like to buy items, and sellers are people who like to sell items.

• Each seller can sell items.

• Each item has a bidding start time, an end time, and an owner. Sellers are owners of

  their item. The start time and end time include the date as well.

• Each seller has a name, contact information, and credit card information. They also have a user name and a password.

• Contact information consists of an address, an email, and a telephone.

• An address consists of a street number and name, city, state, and zip code.

• Credit card information consists of owner name, card number, and expiration date.

• Each item has a name, condition, an initial price, a description, quantity, one or more pictures, and an owner.

• The condition could be New, Refurbished, or Explained. If the condition of an item is set to Explained, the seller should explain about the item condition in the item description.

• Each buyer has a name, contact information, and credit card information. They also have a user name and a password.

• When buyers login to Web site, they can go to the list of all available items and then go to the item detail page. Buyers can also search for an item. The application will search through item names for the search phrase.

• Buyers can bid on items. Once a bid is made, buyers are accountable for their bid. In other words, buyers cannot simply remove their bid. If they change their mind, all they can do is to update their bid with the price of zero. Of course, they can do that before the auction expires.

• After an auction expires, the buyer with the highest bid is the winner.

Part 2: Please write SQL Query for each statement below.

• BA likes to have a set of statistics about the system as follows:

• The most active seller (the one who has offered the most number of items)

• The most active buyer (the one who has bought the most number of items)

• The most expensive item sold ever

• The most expensive item available

• The cheapest item sold ever

• The cheapest item available

1. Please read the business statement below and draw ER, NER, and Table Schema diagrams for it.

Business Statement:

The project is about developing an auction Web site.

The details are as follows:

BA is an online auction Web site. People can buy and sell items in this Web site. Buyers are people who like to buy items, and sellers are people who like to sell items.  Each seller can sell items

.  Each item has a bidding start time, an end time, and an owner. Sellers are owners of their item. The start time and end time include the date as well.

 Each seller has a name, contact information, and credit card information. They also have a user name and a password.

 Contact information consists of an address, an email, and a telephone.

 An address consists of a street number and name, city, state, and zip code.

 Credit card information consists of owner name, card number, and expiration date.

 Each item has a name, condition, an initial price, a description, quantity, one or more pictures, and an owner.

 The condition could be New, Refurbished, or Explained. If the condition of an item is set to Explained, the seller should explain about the item condition in the item description.

 Each buyer has a name, contact information, and credit card information. They also have a user name and a password.

 When buyers’ login to Web site, they can go to the list of all available items and then go to the item detail page. Buyers can also search for an item. The application will search through item names for the search phrase.

 Buyers can bid on items. Once a bid is made, buyers are accountable for their bid. In other words, buyers cannot simply remove their bid. If they change their mind, all they can do is to update their bid with the price of zero. Of course, they can do that before the auction expires.

 After an auction expires, the buyer with the highest bid is the winner.

2. Please write SQL Query for each statement below.

 BA likes to have a set of statistics about the system as follows:

 The most active seller (the one who has offered the most number of items)

 The most active buyer (the one who has bought the most number of items)

 The most expensive item sold ever

 The most expensive item available

 The cheapest item sold ever

 The cheapest item available

A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with two hoses. Let X denote the number of hoses being used on the self-service island at a particular time, and let Y denote the number of hoses on the full-service island in use at that time. The joint pmf of X and Y appears in the accompanying tabulation. y p(x, y) 0 1 2 x 0 0.10 0.05 0.02 1 0.07 0.20 0.08 2 0.06 0.14 0.28 (a) Given that X = 1, determine the conditional pmf of Y—i.e., pY|X(0|1), pY|X(1|1), pY|X(2|1). (Round your answers to four decimal places.) y 0 1 2 pY|X(y|1) (b) Given that two hoses are in use at the self-service island, what is the conditional pmf of the number of hoses in use on the full-service island? (Round your answers to four decimal places.) y 0 1 2 pY|X(y|2) (c) Use the result of part (b) to calculate the conditional probability P(Y ≤ 1 | X = 2). (Round your answer to four decimal places.) P(Y ≤ 1 | X = 2) = (d) Given that two hoses are in use at the full-service island, what is the conditional pmf of the number in use at the self-service island? (Round your answers to four decimal places.) x 0 1 2 pX|Y(x|2)

A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with two hoses. Let X denote the number of hoses being used on the self-service island at a particular time, and let Y denote the number of hoses on the full-service island in use at that time. The joint pmf of X and Y appears in the accompanying tabulation.

(a) Given that X = 1, determine the conditional pmf of Y—i.e., p_Y|X(0|1), p_Y|X(1|1), p_Y|X(2|1). (Round your answers to four decimal places.)

(b) Given that two hoses are in use at the self-service island, what is the conditional pmf of the number of hoses in use on the full-service island? (Round your answers to four decimal places.)

(c) Use the result of part (b) to calculate the conditional probability P(Y ≤ 1 | X = 2). (Round your answer to four decimal places.)
P(Y ≤ 1 | X = 2) =

(d) Given that two hoses are in use at the full-service island, what is the conditional pmf of the number in use at the self-service island? (Round your answers to four decimal places.)

A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with two hoses. Let X denote the number of hoses being used on the self-service island at a particular time, and let Y denote the number of hoses on the full-service island in use at that time. The joint pmf of X and Y appears in the accompanying tabulation.

(a) Given that X = 1, determine the conditional pmf of Y—i.e., p_Y|X(0|1), p_Y|X(1|1), p_Y|X(2|1). (Round your answers to four decimal places.)

(b) Given that two hoses are in use at the self-service island, what is the conditional pmf of the number of hoses in use on the full-service island? (Round your answers to four decimal places.)

(c) Use the result of part (b) to calculate the conditional probability P(Y ≤ 1 | X = 2). (Round your answer to four decimal places.)
P(Y ≤ 1 | X = 2) =  

(d) Given that two hoses are in use at the full-service island, what is the conditional pmf of the number in use at the self-service island? (Round your answers to four decimal places.)

A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with two hoses. Let X denote the number of hoses being used on the self-service island at a particular time, and let Y denote the number of hoses on the full-service island in use at that time. The joint pmf of X and Y appears in the accompanying tabulation.

(a) Given that X = 1, determine the conditional pmf of Y—i.e., p_Y|X(0|1), p_Y|X(1|1), p_Y|X(2|1). (Round your answers to four decimal places.)

(b) Given that two hoses are in use at the self-service island, what is the conditional pmf of the number of hoses in use on the full-service island? (Round your answers to four decimal places.)

(c) Use the result of part (b) to calculate the conditional probability P(Y ≤ 1 | X = 2). (Round your answer to four decimal places.)
P(Y ≤ 1 | X = 2) =

(d) Given that two hoses are in use at the full-service island, what is the conditional pmf of the number in use at the self-service island? (Round your answers to four decimal places.)

Suppose a geyser has a mean time between eruptions of 62 minutes. Let the interval of time between the eruptions be normally distributed with standard deviation 14 minutes. Complete parts ​(a) through ​(e) below. ​(a) What is the probability that a randomly selected time interval between eruptions is longer than 68 ​minutes? The probability that a randomly selected time interval is longer than 68 minutes is approximately nothing. ​(Round to four decimal places as​ needed.) ​(b) What is the probability that a random sample of 9 time intervals between eruptions has a mean longer than 68 ​minutes? The probability that the mean of a random sample of 9 time intervals is more than 68 minutes is approximately nothing. ​(Round to four decimal places as​ needed.) ​(c) What is the probability that a random sample of 34 time intervals between eruptions has a mean longer than 68 ​minutes? The probability that the mean of a random sample of 34 time intervals is more than 68 minutes is approximately nothing. ​(Round to four decimal places as​ needed.) ​(d) What effect does increasing the sample size have on the​ probability? Provide an explanation for this result. Fill in the blanks below. If the population mean is less than 68 ​minutes, then the probability that the sample mean of the time between eruptions is greater than 68 minutes ▼ decreases increases because the variability in the sample mean ▼ decreases increases as the sample size ▼ increases. decreases. ​(e) What might you conclude if a random sample of 34 time intervals between eruptions has a mean longer than 68 ​minutes? Select all that apply. A. The population mean is 62​, and this is just a rare sampling. B. The population mean may be less than 62. C. The population mean cannot be 62​, since the probability is so low. D. The population mean may be greater than 62. E. The population mean must be more than 62​, since the probability is so low. F. The population mean is 62​, and this is an example of a typical sampling result. G. The population mean must be less than 62​, since the probability is so low. Click to select your answer(s).

1- What is the Probability Density Functions and give example?

2- what is the types of Invertible Probability Distributions such as (uniform, trinagular, exponetial....) and give example for each?