Incoming calls to a customer service center are classi- fied as complaints (75% of call) or requests for information (25% of calls). Of the complaints, 40% deal with computer equipment that does not respond and 57% deal with incomplete software installation; and in the remaining 3% of complaints the user has improperly followed the installation instructions. The requests for information are evenly divided on technical questions (50%) and requests to purchase more products (50%). (a) What is the probability that an incoming call to the cus- tomer service center will be from a customer who has not followed installation instructions properly? (b) Find the probability that an incoming call is a request for purchasing more products.

Suppose you are the manager of two beachfront hotels : The Palms and Golden Sands. You'd like to know if there is a difference in guest satisfaction between the two hotels. To investigate this, you conduct a survey and ask guests upon departure if they are likely to return to the hotel in the future. For The Palms, 163 out of 227 guests who were surveyed responded " yes ". For Golden Sands, 154 out of 262 guests responded "yes ". Answer the following questions. Round any numbers in your final answers to 2 decimals. 1) Calculate a 95 % confidence interval for the difference in satisfaction rates between The Palms and Golden Sands (Show work) 2) Use the critical value approach to test, at a 1% significance level, whether or not the guest satisfaction rates are different between the two hotels. What do you conclude ? (In your answer, show the steps involved with testing) 3) What is the p-value of your test in part 2?

A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased.  In the local area there are three main retailers: W-Mart, Tag, and URToy.  For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test   2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).

Razor LLC has a data warehouse that is used by several analytics groups. The data warehouse consists of a number of distinct components, including a cloud server (99.999% availability), a database management system server (99.4%), an analytics logic server (94.7%), and, of course, the network infrastructure to the cloud server, which has an availability of 99.9%. What is the overall availability of the system, expressed as a percentage with three digits of precision? For example, enter 91.223, but do not enter a percent symbol, i.e., do not enter 91.223%

A consumer researcher gave consumers a sample shampoo. After using the shampoo, each consumer used an interval-level scale to rate his or her satisfaction with it. Scores could range from 0 to 100, with higher scores indicating greater satisfaction. Consumers didn’t know each other and were randomly assigned to three groups: (1) receive a store brand of shampoo in a bottle clearly labeled as such, (2) receive a premium brand of shampoo in the premium brand’s bottle, or (3) receive a store brand of shampoo in the premium brand’s bottle. Here are the collected data: Store brand, store bottle Premium brand, premium bottle Store brand, premium bottle 70 85 85 65 90 80 65 95 90 60 90 85 M = 65s = 4.08 M = 90s = 4.08 M = 85s = 4.08 SSbetween = 1400 e. Report results (Table and APA)f. What do these results mean?

You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC

The Conch Café, located in Gulf Shores, Alabama, features casual lunches with a great view of the Gulf of Mexico. To accommodate the increase in business during the summer vacation season, Fuzzy Conch, the owner, hires a large number of servers as seasonal help. When he interviews a prospective server, he would like to provide data on the amount a server can earn in tips. He believes that the amount of the bill and the number of diners are both related to the amount of the tip. He gathered the following sample information.  Customer Amount of Tip Amount of Bill Number of Diners Customer Amount of Tip Amount of Bill Number of Diners 1   $ 7.00   $ 48.97   5 16 $ 3.30   $ 23.59   2 2     4.50     28.23   4 17   3.50     22.30   2 3     1.00     10.65   1 18   3.25     32.00   2 4     2.40     19.82   3 19   5.40     50.02   4 5     5.00     28.62   3 20   2.25     17.60   3 6     4.25     24.83   2 21   5.50     44.47   4 7     0.50     6.24   1 22   3.00     20.27   2…

A report described teens' attitudes about traditional media, such as TV, movies, and newspapers. In a representative sample of American teenage girls, 42% said newspapers were boring. In a representative sample of American teenage boys, 45% said newspapers were boring. Sample sizes were not given in the report. A button hyperlink to the SALT program that reads: Use SALT. (a) Suppose that the percentages reported had been based on a sample of 50 girls and 40 boys. Is there convincing evidence that the proportion of those who think that newspapers are boring is different for teenage girls and boys? Carry out a hypothesis test using ? = 0.05. (Use pgirls − pboys.) Find the test statistic. (Round your answer to two decimal places.) z = Find the P-value. (Round your answer to four decimal places.) P-value = State your conclusion. Reject H0. We do not have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who…