2.We want to investigate whether there exists gender bias on traffic stops bythe police here in Charlotte. The Charlotte Open Data Portal includes informationon different characteristics of drivers being stopped. We collected the data from2017 and we are interested in answering the question: "Of all the drivers who arestopped, are female drivers less likely to get searched than male drivers? From thedata collected we observed that 438 out of the 24,314 female drivers were searched,whercas 2,244 out of 34,095 male drivers were scarchcd.(a)that the proportion of female drivers being searched is smaller than theproportion of male drivers being searched?Is there sufficient evidence at the 0.05 significance level to concludeConstruct the appropriate confidence interval for the hypothesis(b)test of part (a) and state your conclusion.

Given that, For females: Sample size, n1= 24314 and x1= 438 For males: Sample size, n2= 34095 and…

Answered: We want to investigate whether there…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Submit a short and broad description of prevalence of gambling in Australia. You should draw information/evidence from the academic literature, government sources, and statistics from ABS or other authorities. No web sources should be used. You should focus on and address the following questions: How many/What percentage of Australian adults engaged in gambling in 2015? Are these numbers high compared to some other countries? Do Indigenous Australians gamble more often than non-Indigenous Australians? Are your sample statistics comparable with the findings from those in the literature? If not, cite the main reasons (hint: you should pay attention to who are in your sample). Other requirements: The description should be no more than one-page (excluding the reference list) with a font size not less than Calibri 11. All sources should be properly cited and referenced. Note: you may need to manipulate the data to get the correct sample statistics for this individual assignment (see tips…
Pick a sample problem where despite correlation, causation cannot be reasonable argument.
If a researcher failed to use a random sample, how would this affect the research conclusion? If a researcher failed to use random assignment, how would this affect the research results?
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men’s and woman’s volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant difference between groups?
In 2013 students from a Statistics class at FSEV UK were asked to survey their friends who were 15-30 years old, in order to explore the interests of young people. The survey has a variety of questions, which are detailed in the Survey Key. For example, the column header “Music” is short for the question “I enjoy listening to music” and is rated 1-5, where 1 represents strongly disagree and 5 represents strongly agree. There is also some categorical data present as well. Survey participants record their gender, how often they smoke/drink, their internet usage, and education (just to name a few!). Please perform a hypothesis test based on one of the categorical variables and one survey question. For example, you could choose to prove the following: Survey participants who identify as an “only child” enjoy meeting new people (Survey score ). Here is an example: people who are right-handed (as identified in the data set) enjoy listening to music. Please be sure to use two columns…
Explain if there was a statistically significant difference between the group means. did you arrive at your conclusion?
We will refer to the data table below as "Facebook_Survey_Sample". In the first column 1:="yes" and 0:="no" In the "Gender" column 1:="Female" and 0:="Male" VisitsPerWeek Friends 1 45 100 0 0 1 25 60 1 40 80 m 1 40 60 0 0 1 15 40 1 30 25 80 150 90 Facebook 1 1 200 Age 34 65 46 29 21 25 22 18 42 52 Gender 1 0 0 1 1 1 1 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account.
In the NFL, Coaches can throw "challenge" flags if they believe officials have made an incorrect call on the field. Then, based upon further analysis, the call is either overturned (because the referees were incorrect) or upheld (referees were correct). In the first eight weeks of last NFL season, there were 316 challenges made, with 154 of those calls overturned. The NFL team owners used this data to begin a lawsuit that claimed referees were wrong more than 50% of the time in challenged situations. They want to perform statistical analysis before filing that lawsuit. For the following question, select the answer which correctly responds. 0.50
Sierra College students enrolled in an online Elementary Statistics course were asked to participate in an anonymous onlne survey. The survey asked the students "Which type of device will you primarily use to access your online course in Canvas?". Of the 152 students who answered this question, 20 responded "a desktop computer", 121 responded "a laptop computer", 6 responded "a smartphone", and 5 responded "a tablet". The Sierra College Mathematics Department believes that less than 5% of students enrolled in an online Elementary Statistics course primarily uses a smartphone to access their online course in Canvas. Use the data collected in the survey to conduct a hypothesis testing procedure to test this belief. What conclusion should be reached according to the results of this hypothesis test?
In 1993 approximately 62.1 million Americans suffered injuries, as reported by the National Center for Health Statistics in Vital and Health Statistics. More males (33.4 million) were injured than females (28.7 million). Those statistics do not tell us whether males and females tend to be injured in similar circumstances. One set of categories commonly used for accident circumstances. One set of categories commonly used for accident circumstance is "while at work," "home", "motor vehicle", and "other". A random sample of accident reports gave the data in contingency table below. Male Female While at work 19 24 27 Home 14 Motor Vehicle 26 Other At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between accident circumstances and sex? Type in Canvas the grand total. 35

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