Question

A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean...

A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean of $29 and a standard deviation of $20. Suppose the store had 293 customers this Sunday.

​a) Estimate the probability that the​ store's revenues were at least $9,100.

​b) If, on a typical​ Sunday, the store serves 293 customers, how much does the store take in on the worst 10​% of such​ days?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A grocery? store's receipts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery? store's receipts show that Sunday customer purchases have a skewed distribution with a mean of $31 and a standard deviation of $21. Suppose the store had 292 customers this Sunday. ?a) Estimate the probability that the? store's revenues were at least $9,500. ?b) If, on a typical? Sunday, the store serves 292 customers, how much does the store take in on the worst 10?% of such? days?
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean of ​$31 and a standard deviation of ​$22. Suppose the store had 297 customers this Sunday. ​a) Estimate the probability that the​ store's revenues were at least ​$9 comma 800. ​b) If, on a typical​ Sunday, the store serves 297 ​customers, how much does the store take in on the worst 10​% of such​ days?
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean of ​$31 and a standard deviation of ​$21. Suppose the store had 318 customers this Sunday. ​a) Estimate the probability that the​ store's revenues were at least ​$10 comma 600. ​b) If, on a typical​ Sunday, the store serves 318 ​customers, how much does the store take in on the worst 1​% of such​ days?
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean of ​$30 and a standard deviation of ​$18. Suppose the store had 316 customers this Sunday. ​a) Estimate the probability that the​ store's revenues were at least ​$10 comma 100. ​b) If, on a typical​ Sunday, the store serves 316 ​customers, how much does the store take in on the worst 1​% of such​ days? Also if you know which program to use on...
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery​ store's receipts show that Sunday customer purchases have a skewed distribution with a mean of ​$32 and a standard deviation of ​$24. Suppose the store had 305 customers this Sunday. ​a) Estimate the probability that the​ store's revenues were at least ​$10 comma 000. ​b) If, on a typical​ Sunday, the store serves 305 ​customers, how much does the store take in on the worst 10​% of such​ days? ​a) The probability is... ​(Round to four decimal places...
A grocery store’s reciepts show that Sunday customer purchases bave a skewed distribution with a mean...
A grocery store’s reciepts show that Sunday customer purchases bave a skewed distribution with a mean of $34 and a standard deviation of $22. Suppose the store had 292 customers this Sunday. a.) Estimate the probability that the store’s revenues were at least $10,200 (round to four decimal places as needed) b.) The store takes in at most $_____ (round to two decimal places as needed) for b.) If on a typical sunday, the store serves 292 customers, how much...
1. Hoping to lure more shoppers​ downtown, a city builds a new public parking garage in...
1. Hoping to lure more shoppers​ downtown, a city builds a new public parking garage in the central business district. The city plans to pay for the structure through parking fees. For a random sample of 42 ​weekdays, daily fees collected averaged ​$133​, with standard deviation of $16. ​- Find a 95​% confidence interval for the mean daily income this parking garage will generate. The 95​% confidence interval for the mean daily income is 2. A grocery​ store's receipts show...
A grocery store’s reciepts show that Sunday customer purchases have a skewed distribution with a mean...
A grocery store’s reciepts show that Sunday customer purchases have a skewed distribution with a mean of $32 and a standard deviation of $20. Complete parts a through c below. -Multiple choice- 1.) Explain why you cannot determime the probability that the next Sunday customer will spend at least $40. a.) The probability can only be determimed if the point is less than one standard deviation away from the mean b.) The probability can only be determimed if the point...
Grocery store receipts show that customer purchases have a normaldistribution with a mean of $32 and...
Grocery store receipts show that customer purchases have a normaldistribution with a mean of $32 and standard deviation of $20. a) If someone’s spends one standard deviation below the mean, how much did they spend? b) Find the 90thpercentile of purchases.c) Find the probability that a random customer spends more than $35. D).Find the probability that the next 50 customers will spend at least $35 on average.
The mean amount purchased by a typical customer at Churchill's Grocery Store is $23.50 with a...
The mean amount purchased by a typical customer at Churchill's Grocery Store is $23.50 with a standard deviation of $6.00. Assume the distribution of amounts purchased follows the normal distribution. For a sample of 52 customers, answer the following questions. a. What is the likelihood the sample mean is at least $25.50? (Round z value to 2 decimal places and final answer to 4 decimal places.)   Probability b. What is the likelihood the sample mean is greater than $22.50 but...