Jill will either pass or fail her statistics course. These two possible outcomes are referred to as: O predetermined by fate. independent outcomes. dependent outcomes. embedded outcomes. mutually exclusive outcomes.
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O predetermined by fate.
O independent outcomes
O dependent outcomes.
O embedded outcomes.
mutually exclusive outcomes.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4bb89d62-8f41-422f-a3ad-3926001d486b%2F1cc34236-c1fd-40cb-9c4e-e3ea9bf8c7da%2Fsf80s2r_processed.jpeg&w=3840&q=75)
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- The State Education Department requires local school districts to keep these records on all students: age, race or ethnicity, days absent, current grade level, standardized test scores in reading and mathematics, and any disabilities or special educational needs the student may have. Which of the following are categorical (or qualitative) variables in these records? Days Absent Age Race or Ethnicity Disabilities or Special Needs O Reading Test Score Current Grade Level (A/B/C/D/F) Mathematics Test ScoreA study examined the interactions in a children's museum. (Interactions by visitors to the museum included show-and-tell, learning, teaching, refocusing, participatory play, advocating, and disciplining interactions.) Researchers observed a sample of 180 meaningful interactions, of which 86 were led by children and 94 were led by adult caregivers. Complete parts a through d below. a. Give a point estimate of the true proportion of all meaningful interactions in a children's museum that are led by children. The point estimate is. (Type an integer or decimal rounded to three decimal places as needed.)Selecting the Appropriate Inferential Test: For each of the studies below, please identify the following (or indicate N/A "not applicable" if the feature is not relevant to the design): a) Independent Variable(s) (IVs) and # of levels for any IVs (for Correlation/Regression, identify the predictor and predicted variable rather than IV and DV) b) Dependent Variable (DV) c) Scale of Measurement for the Dependent Variable: (Nominal, Ordinal, Interval, Ratio) for Correlation/Regression please make sure you identify the scale of measurement for both variables d) Appropriate Statistical Test (If it is a Factorial ANOVA, make sure to name the design: e.g., 2 X 2, 2 X 3, etc.)
- Democratic and Republican presidential state primary elections differ in the way winning candidates are awarded delegates. In Republican states, the winner is awarded all the state's delegates; conversely, the Democratic state winner is awarded delegates in proportion to the percentage of votes. This difference led to an article on making your vote count. Consider scenario where you are one of five county commissioners voting on an issue, where each commissioner is equally likely to vote for or against. Complete parts and b below. a. Your vote (the decisive vote) counts only if the other four voters split, 2 in favor and 2 against. Use the binomial distribution to find the probability that your vote counts. The probability that your vote counts is 0.375. (Type an integer or a decimal. Do not round.) b. If you convince two other commissioners to "vote in bloc" (all agree to vote among yourselves first, and whatever the majority decides is the way all three will vote, guaranteeing that…Part 1: The state of Maryland's arrest rate for marijuana possession in 2010 was the fourth highest in the nation. Public records for that year show that police arrested one out of every 250 Maryland residents for possession of marijuana. In addition, while Black people only comprised 30% of the State's population in 2010, 58% of those arrested for marijuana possession were Black. Use the following labels for events describing Maryland residents in the year 2010. M-AMP: Maryland resident was arrested for marijuana possession M-B: Maryland resident was a Black person a) What is the probability that a Maryland resident was arrested for marijuana possession in 2010? b) Use probability notation to express the cited percent values. 30% = P( 58% = P( c) Which of the values cited should be compared to determine whether race and arrests for marijuana possession in the state of Maryland in 2010 are independent?A construction company submitted a bid for a large, public construction project. The company’s management initially felt they had a 50-50 chance of getting the project. However, the department to which the bid was submitted subsequently requested additional information on the bid submitted by this company. Past experience indicates that for 75% of the successful bids but only for 40% of the unsuccessful bids the agency requested such additional information. Question: Given that the construction company was asked for additional information, what is the probability that it will get the project?
- Jill will either pass or fail her statistics course. These two possible outcomes are referred to as Question 9 options: independent outcomes dependent outcomes mutually exclusive outcomes embedded outcomesFive percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. A likelihood probability for this problem context is: A. P(Purchase | Visit Site) B. P(Did Not Purchase | Read User Reviews) C. P(Visit Site | Purchase) D. P(Did Not Read User Reviews | Product Purchased) E. None of the answers are correct.You are to submit 2 real life examples of statistical statements and state if they are biased or unbiased Example: A toothpaste advertisement states that 3 or 4 people prefer their product. This could be a biased survey, one that is not based on a random sample. They could have asked exactly 4 people about their product. An unbiased sample accurately represents the population. Each member of the population is equally to be chosen Example: A person wants to find out how many people prefer chocolate of vanilla ice cream. To get an unbiased sample, she would pick out a few of the ice cream shops in her town and survey people leaving the establishment.
- A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6 Mean: 12.7 Mean: 13 Since the simulation shows ( many cases or free cases )? where a mean difference of ( solve for this answer ) or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely ) ?due to the random assignment of participants into groups, so the results of the study are (…Five percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. Which of the following probability statements are true? P(Read Reviews | Purchase) = 0.040 P(Did Not Purchase | Read Reviews) = 0.726 None of the answers are correct. P(Purchase | Did Not Read Reviews) = 0.040 P(Did Not Read Reviews | Did Not Purchase) = 0.200A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$25,000 48 45 93 $25,000$25,000-$50,000$50,000 38 36 74 $50,000$50,000-$75,000$75,000 46 40 86 Above $75,000$75,000 68 71 139 Total 200 192 392 State the conclusion of the hypothesis test at the 0.010.01 level of significance.
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