About 1 in 1,100 people have IQs over 150. If a subject receives a score of greater than somespecified amount, they are considered by the psychologist to have an IQ over 150. But thepsychologist's test is not perfect. Although all individuals with IQ over 150 will definitelyreceive such a score, individuals with IQs less than 150 can also receive such scores about0.13% of the time due to lucky guessing. Given that a subject in the study is labeled ashaving an IQ over 150, what is the probability that they actually have an IQ below 150? Roundyour answer to five decimal places.

About 1 in 1100 people have IQs over 150. The probability of individual with IQs less than 150…

Answered: About 1 in 1,100 people have IQs over…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A team of researchers would like to determine whether the number of households that use the internet for more than an hour a day is greater in large cities or small towns. To do so, the researchers take two random samples. The first sample consists of randomly selected people who live in cities with more than 500,000 people around the country. The second sample consists of randomly selected people who live in towns with fewer than 20,000 people. Are these samples dependent or independent? Select the correct answer below: O These samples are independent. O These samples are dependent. Not enough information is provided to determine independence.
1) If the data is IQ test scores, an individual with a negative z-score what IQ level would he have? 2
There are many ways to measure the reading ability of children. Research designed toimprove reading performance is dependent on good measures of the outcome. Onefrequently used test is the DRP, or Degree of Reading Power. A researcher suspects that themean score µ of all third- graders in Henrico County Schools is different from the nationalmean, which is 32. To test her suspicion, she administers the DRP to an SRS of 44 HenricoCounty third-grade students. The distribution of scores is summarized in the Minitab outputbelow: MEAN STDEV SEMEAN MIN Q1 MEDIAN Q3MAXDRP 35.09 11.19 1.69 14.00 26.00 35.00 44.0054.00 Construct a 90% confidence interval to estimate the mean DRP score in Henrico CountySchools.
Suppose a 95% confidence interval for the difference in test scores between Class 1 and Class 2 (in that order) is the following: 9 +/− 2. These results were based on independent samples of size 100 from each class. Now suppose you switch the order of Class 1 and Class 2 in your analysis but keep the data labeled correctly in terms of which class they came from. Which of the following statements is false? A) You can't do it this way. You'll get negative numbers for the difference in the means and/or negative numbers for the standard error. B) You are confident that the average for Class 2 is 7 to 11 points lower than for Class 1. C) You are still confident that the classes have significantly different mean scores. D) Your 95% confidence interval will now be entirely negative: from −7 to −11.
A group of statisticians decides they will answer the question: Has the wolf reintroduction to Yellowstone been detrimental to elk herds in the park? They decide that each of the four data scientists will take a quadrant of the park to collect a sample from as randomly as possible. They decide they will collect the sample during the winter, the time the elk herds are most stressed. They agree to trust each others professional judgement when it comes to the health of the individual elk in the herd. They will give each elk a grade out of 3pts: 1 pt for sick, 2pts for fair, and 3pts for healthy. They then share their data and compare to create a final report on the overall health of the elk in the park. In this scenario, what kind of random sampling did the statisticians use?
Suppose we want to estimate the proportion of college students who use stimulants to help them study. If we want to estimate this proportion to within 5% at the 95% confidence level, how many randomly selected college students must we survey?If we want to estimate this proportion to within 5% at the 90% confidence level, do we need to survey more students or can we survey fewer students (compared to your previous answer)? We need to survey more students or We can survey fewer students If we want to estimate this proportion to within 4% at the 95% confidence level, do we need to survey more students or can we survey fewer students (compared to your first answer)? We need to survey more students or We can survey fewer students
Debbie and Ethan are going to construct confidence intervals from the same simple random sample. Debbie's confidence interval will have a 98% confidence interval and Ethan's will have a 95% confidence interval. A. Which confidence interval, if there is a difference will have a larger margin of error? B. Which confidence interval is more likely to cover the population mean, if there is a difference I am using a Ti84 and need to know how to get the answer.
MD has a new type of scratch-off ticket for $19 to win one of: 11 prizes of $19 9 small prizes of $28 3 large prizes of $500 1 grand prize of $50,000 Once they’ve sold 7,000 tickets, they will select the winning tickets. What is the expected value?
The top 5 students of grade 10 section Oxygen class, James, Jessie, Jane, John, and Jack, are so eager to know their respective ranks. They keep on asking their teacher, Mr. Jacob, about who got the first rank, second, and so on. Mr. Jacob challenged them and said, "For all of you, in relation to all Grade 10 student's grades, you got the 90th percentile, 9th decile, 3rd quartile, 95th percentile, and 8th decile, respectively. Now tell me the correct rankings and prove to me that you are worth the rank you are in." Which of the following is the most probable ranking of the five students? James, John, Jack, Jessie, Jane Jane, John, Jack, Jessie, James John, Jack, James, Jessie, Jane John, James, Jessie, Jack, Jane
A statistics student wants to conduct a study to determine the proportion of workers in Cititon who commute to another town for work. If the student wants a 90% confidence interval with a margin of error of 2%, how many workers should be in her sample?
Section b is where I am struggling

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