Giving a test to a group of students, the grades and gender are summarized belowAB15913 18 102 17 2039Total 30 44 36 110MaleFemaleNon-binaryC Total630Let represent the percentage of all non-binary students who would receive a grade of A on this test. Usea 99.5% confidence interval to estimate p to three decimal places.Enter your answer as a tri-linear inequality using decimals (not percents).

From the provided information, Total students = 110 Received grade A and Non-binary = 2 Total…

Answered: Giving a test to a group of students,…

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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7. Four girls and four boys sat randomly at the round table. What is the probability that the girls sit together?
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A sociologist is interested in studying the relationship between education and crime. She randomly selects 332 people and asks them their education level and whether or not they have ever been convicted of a felony. Is there evidence that education level and crime are dependent? Education Level No Felony Conviction Felony Conviction Total Less than 99 years 95 12 107 99 years - 1212 years 86 11 97 1212 years - 1616 years 59 7 66 16+16+ years 56 6 6262 Total 296 36 332 Copy Data Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
C2. Using the information listed below, explore the educational attainment of GSS 2018 respondents. Frequencies and percentages are reported by sex of respondent. a. Calculate the IQR for both groups. What do the IQRS reveal about the degree of diversity for males and females? b. What is the limitation to applying IQR to ordinal data? Highest Educational Degree Males Females Less than high school 63 80 12.9% 12.7% High school graduate 256 296 52.5% 47.1% Junior college 30 72 6.1% 11.4% Bachelor's degree 90 111 18.4% 17.6% Graduate degree 49 70 10% 11.1% 488 629 Total 100% 100% CHAPTER 4 MEASURES C
Use the table to answer the question. Has a Cell Phone Does Not Have a Cell Phone Totals Has a Computer 44 176 220 Does Not Have a Computer 26 104 130 Totals 70 280 350 The table above gives a summary of survey data asking respondents if they owned a computer or a cell phone. Is there an association between owning a computer and owning a cell phone? Explain, rounding your answer to the nearest whole percent as necessary. There is an association since the conditional relative frequencies of owning a cell phone are 20% for those who own computers and those who do not. There is not an association since the conditional relative frequencies of owning a cell phone are 20% for those who own computers and those who do not. There is not an association since the conditional relative frequency of owning a cell phone is 63% for those who own computers and 37% for those who do not. There is an association since the conditional relative frequency of…
The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 152 173.3 194 169.6 179.5 The minimum height is cm, the first quartile Q, is cm, the second quartile Q, (or the median) is cm, the third quartile Q, is cm, and the maximum height is cm. (Type integers or decimals. Do not round.) O Time MacBook Pro -> G Search or type URL esc ! %23 $ & 1 4 5 7 8 9 Q W R Y tab S F K caps lock C V shift fn comman control option command
The ANOVA test described shows whether or not there is a a. Relationship b. Preference C. Dependence d. Equality of three or more means e. None of these

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