http://apstatsmonkey.com/StatsMonkey/FRAPPYs_files/Frappy3.pdf Mostly Question B, but if you could answer all 3 that’d be great.

http://apstatsmonkey.com/StatsMonkey/FRAPPYs_files/Frappy3.pdf Mostly Question B, but if you could answer all 3 that’d be great.

 

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discussion apa format no plagiarism please follow the instruction

 300-400 words 

For your discussion this week read the case “Targeting Target with a 100 million dollar data breach” found at https://journals.sagepub.com/doi/pdf/10.1057/s41266-017-0028-0? 

Then in the discussion area answer these questions: Who do you believe is to blame for the incident? Why? How did Target manage the situation when the breach was detected?  Do you consider their reaction appropriate? What lessons should a CIO learn?

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Records of randomly selected births were obtained and categorized according to the day of the week

 

12) Records of randomly selected births were obtained and categorized according to the day of the week that they occurred (based on data from the National Center for Health Statistics). Because babies are unfamiliar with our schedule of weekdays, a reasonable claim is that births occur on the different days with equal frequency. Use a 0.01 significance level to test that claim. Can provide an explanation for the result?

 

Day

Sun

Mon

Tues

Wed

Thurs

Fri

Sat

Number of births

77

110

124

122

120

123

97

 

18)  In analyzing hits by V-1 buzz bombs in World War II, South London was subdivided into regions, each with an area of 0.25 km2. Shown below is a table of actual frequencies of hits and the frequencies expected with the Poisson distribution. Use the values listed and a 0.05 significance level to test the claim that the actual frequencies fit a Poison distribution.

 

Number of bomb hits

0

1

2

3

4 or more

Actual number of regions

229

211

93

35

8

Expected number of regions (from Poisson distribution)      

227.5

211.4

97.9

30.5

8.7

 

14) In a USA Today article about an experimental vaccine for children, the following statement was presented: “in a trial involving 1602 children, only 14 (1%) of the 1070 who received the vaccine developed the flu, compared with 95 (18%) of the 5632 who got a placebo.” The data are shown in the table below. Use a 0.05 significance level to test for independence between the variable of treatment (vaccine or placebo) and the variable representing flu (developed flu, did not develop flu). Does the vaccine appear to be effective?

 

 

Develop Flu?

 

Yes

No

Vaccine Treatment

14

1056

Placebo

95

437

 

20) Is Seat Belt Use Independent of Cigarette Smoking? A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the given table (based on data from “What Kinds of People Do Not Use Seat Belts?” by Helsing and Comstock, American Journal of Public Health, Vol. 67, No. 11). Test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke more are less concerned about their health and safety and are therefore less inclined to wear seat belts. Is this theory supported by the sample data?

 

 

Number of Cigarettes Smoked per Day

 

0

1-14

15-34

35 or over

Wear seat belts

175

20

42

6

Don’t wear seat belts

149

17

41

9

 

   18) In the article “Eradication of Small Intestinal Bacterial Overgrowth Reduces Symptoms of Irritable Bowel Syndrome” (Pimentel, Chow, and Lin, American Journal of Gastroenterology, Vol. 95, No.12), the authors include a discussion of whether antibiotic treatment of bacteria overgrowth reduces intestinal complaints. McNemar’s test was used to analyze results for those subjects with eradication of bacterial overgrowth. Using the data in the given table, does the treatment appear to be effective against abdominal pain?

 

 

 

Abdominal Pain Before Treatment?

 

 

Yes

No

Abdominal pain after treatment?

Yes

11

1

No

14

3

 

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One Sample Hypothesis Testing Cases

Mathematics

Purpose of Assignment

The purpose of this assignment is to develop students’ abilities to combine the knowledge of descriptive statistics covered in Weeks 1 and 2 and one-sample hypothesis testing to make managerial decisions. In this assignment, students will learn how statistical analysis is used in predicting an election winner in the first case. In the second case, students will conduct a hypothesis test to decide whether or not a shipping plan will be profitable.

Assignment Steps

Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment Times

Develop a 700- to 1,050-word statistical analysis based on the Case Study Scenarios and SpeedX Payment Times.

Include answers to the following:

Case 1: Election Results

  • Use 0.10 as the significance level (α).
  • Conduct a one-sample hypothesis test to determine if the networks should announce at 8:01 P.M. the Republican candidate George W. Bush will win the state.

Case 2: SpeedX

  • Use 0.10 and the significance level (α).
  • Conduct a one-sample hypothesis test and determine if you can convince the CFO to conclude the plan will be profitable.

Format your assignment consistent with APA format.