What is the area between the mean and 395 pounds? c.What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds?

What is the area between the mean and 395 pounds? c.What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds?

1.A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV
Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and
comment on your findings. 2.The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a.What is the area between 415 pounds and the mean?
b.What is the area between the mean and 395 pounds? c.What is the probability of selecting a value at random and discovering that it has a value of less than 395
pounds? 3.The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer
would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels?
4.Research on new juvenile delinquents revealed that 38% of them committed another crime. a.What is the probability that of the last 100 new juvenile delinquents put
on probation, 30 or more will commit another crime? b.What is the probability that 40 or fewer of the delinquents will commit another crime? c.What is the probability
that between 30 and 40 of the delinquents will commit another crime? 5.An Air Force study indicates that the probability of a disaster such as the January 28, 1986
explosion of the space shuttle Challenger was 1 in 35. The Challengerflight was the 25th mission. a.How many disasters would you expect in the first 25 flights? b.Use
the normal approximation to estimate the probability of at least one disaster in 25 missions.

What is the 99% confidence interval for the spending difference between men and women?

What is the 99% confidence interval for the spending difference between men and women?

The local baseball team conducts a study to find the amount spent on refreshments at the ball park. Over the course of the season they gather simple random samples of
75 men and 100 women. For men, the average expenditure was $20, with a standard deviation of $3. For women, it was $15, with a standard deviation of $2. What is the
99% confidence interval for the spending difference between men and women?

One of the assumptions of Multiple Regression model is that there is no perfect linear relationship among independent variable. One of the assumptions of Multiple regression model is that there is a perfect linear relationship among independent variable.

One of the assumptions of Multiple Regression model is that there is no perfect linear relationship among independent variable. One of the assumptions of Multiple regression model is that there is a perfect linear relationship among independent variable.

True or False In an experiment involving matched pairs, a sample of 15 pairs of observations is collected. The degree of freedom for the t statistic is 14. The chi-
square distribution is a continuous probability distribution that is symmetrical. One of the assumptions of Multiple Regression model is that there is no perfect
linear relationship among independent variable. One of the assumptions of Multiple regression model is that there is a perfect linear relationship among independent
variable. Multiple Choice A confidence interval decreases in width as A. The level of confidence increases B. n decreases C. s increases D. All of the above E. None of
the above

inventory stratification for a group of products.

inventory stratification for a group of products.

Question – Your company has been working on inventory stratification for a group of products. Your colleagues have already completed the analysis at factor level using
Hits, GMROI, and Safety requirements. Your task is to finalize the stratification and provide the management with the final ABC classification. Your management team
suggested that safety requirement is three times more important than hits and hits is two times more important than GMROI for these products. The management also
thinks top 60% should be A items, the next 25% B items, and remaining 10% and 5% should be allocated to C and D items, respectively. Assume points, points, points, and
points for the final analysis. PLEASE RESPOND IN EXCEL FILES SHOWING REASONING AND FORMULAS Hits GMROI Safety 1 B D B 2 B B D 3 B D B 4 C A C 5 D D B 6 D D D 7 C C B 8
B C D 9 A B A 10 D C D 11 C D D 12 B B B 13 B B A 14 C C B 15 A C C 16 A A B 17 B B C 18 A B B 19 B B B 20 A C D

What are 2 advantages of using crowdsourcing for developing a system or application?

What are 2 advantages of using crowdsourcing for developing a system or application?

Write a short essay about 1 page (3-4 paragraphs), that identifies two (2) companies that have been using crowdsourcing as an alternative to traditional systems
development approach. What are 2 advantages of using crowdsourcing for developing a system or application? Please use and cite at least 2 outside sources for this
essay.

How might a set of term clusters defined by the terms in a document cluster differ from the word clusters found by clustering the terms with K-means and how could the term clustering be used to define clusters of documents?

How might a set of term clusters defined by the terms in a document cluster differ from the word clusters found by clustering the terms with K-means and how could the term clustering be used to define clusters of documents?

Question
Clusters of documents can be summarized by finding the top terms (words) for the documents in the cluster, e.g., by taking the most frequent k terms, where k is
constant, say 10, or by taking all terms that occur more frequently than a specified threshold. Suppose that K-means is used to find clusters of both documents and
words for a document data set.
How might a set of term clusters defined by the terms in a document cluster differ from the word clusters found by clustering the terms with K-means and how could the
term clustering be used to define clusters of documents? Cite the sources you use to make your response.

DAYS WHEN CRIMES WERE COMMITTED FREQUENCY MON. TUE. WED. THU. FRI. SAT. SUN. TOTAL

DAYS WHEN CRIMES WERE COMMITTED FREQUENCY MON. TUE. WED. THU. FRI. SAT. SUN. TOTAL

Randomly selected records of 140 convicted criminals reveal that their crimes were committed on the following days of the week: (a) Using the .01 level of signi?
cance, test the null hypothesis that in the underlying population, crimes are equally likely to be committed on any day of the week. (b) Specify the approximate p –
value for this test result. (c) How might this result be reported in the literature? DAYS WHEN CRIMES WERE COMMITTED FREQUENCY MON. TUE. WED. THU. FRI. SAT. SUN. TOTAL
Observed (ƒO) 17 21 22 18 23 24 15 140

Find the expected number of Democrats on the committee. (b) Find the expected number of states represented on the committee (by at least one senator). (c) Find the expected number of states such that both of the state’s senators are on the committee.

Find the expected number of Democrats on the committee. (b) Find the expected number of states represented on the committee (by at least one senator). (c) Find the expected number of states such that both of the state’s senators are on the committee.

Q80, chapter 4, page 192, Introduction to probability, Joseph k.Blitzstein. Please solve this question: The U.S. Senate consists of 100 senators, with 2 from each of
the 50 states. There are d Democrats in the Senate. A committee of size c is formed, by picking a random set of senators such that all sets of size c are equally
likely. (a) Find the expected number of Democrats on the committee. (b) Find the expected number of states represented on the committee (by at least one senator). (c)
Find the expected number of states such that both of the state’s senators are on the committee.

A decision maker subjectively assigned the following probabilities to the four outcomes of a random experiment P(E1)=.10 P(E2)=.15 P(E3)=.40 P(E4)=.20, Are these probability assignment valid?

A decision maker subjectively assigned the following probabilities to the four outcomes of a random experiment P(E1)=.10 P(E2)=.15 P(E3)=.40 P(E4)=.20, Are these probability assignment valid?

A decision maker subjectively assigned the following probabilities to the four outcomes of a random experiment P(E1)=.10 P(E2)=.15 P(E3)=.40 P(E4)=.20, Are these
probability assignment valid? explain

ing the .05 level of signi? cance, test the null hypothesis that address does not matter in the underlying population.

ing the .05 level of signi? cance, test the null hypothesis that address does not matter in the underlying population.

Question
In a classic study, Milgram et al . “lost” stamped envelopes with ? ctitious addresses (Medical Research Association, Personal Address, Friends of Communist Party, and
Friends of Nazi Party).* One hundred letters with each address were distributed among four locations (shops, cars, streets, and phone booths) in New Haven Connecticut,
with the following results:
ADDRESS RETURNED NOT RETURNED TOTAL

Medical Research Association 72 28 100

Personal Address 71 29 100

Friends of Communist Party 25 75 100

Friends of Nazi Party 25 75 100

Total 193 207 400

(a) Using the .05 level of signi? cance, test the null hypothesis that address does not matter in the underlying population.

(b) Specify the approximate p -value for this result.

(c) Assuming c2 is signi? cant, estimate the strength of this relationship.

(d) How might these results be reported in the literature?

(e) Collapse the original 4 x 2 table to a 2 x 2 table by combining the results for the two neutral addresses and for the two in? ammatory addresses. Calculate the
odds ratio for returned letters.