Question 4 A survey of California community college statistics students were asked their student status and type of class. When making a random selection from the table, what is the probability the individual attends an In-Person class given the student is Full-Time? Survey Results In-Person Hybrid Online Full-Time 13 12 15 Part-Time 10 O None of these O 0.318 O 0.339 O 0.302 O 0.325 O O o @
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- Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.476 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 16 39 Negative test results 36 14 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.476 for a negative test result? because there is a 0.050 absolute difference between the probability of a true response and the probability of a negative test result.Are birthdays "evenly distributed" throughout the year, or are they more common during some parts of the year than others? Owners of a children's toy store chain in the Northwest asked just this question. Some data collected by the chain are summarized in the table below. The data were obtained from a random sample of 190 people. The birthdate of each person was recorded, and each of these dates was placed into one of four categories: winter (December 21-March 20), spring (March 21-June 20), summer (June 21-September 20), and fall (September 21-December 20). The numbers in the first row of the table are the frequencies observed in the sample for these season categories. The numbers in the second row are the expected frequencies under the assumption that birthdays are equally likely during each season of the year. The bottom row of numbers gives the following value for each of the season categories. Answer the following to summarize the test of the hypothesis that birthdays are equally…Use the data in the table below, which shows the employment status of individuals in a particular town by age group. Age Full-time Part-time Unemployed 0—17 27 180 360 18—25 190 198 233 26—34 317 71 26 35—49 462 183 192 50+ 356 165 258 If a person is randomly chosen from the town's population, what is the probability that the person is under 18 or employed part-time?
- A group of students at a local university were asked about their status (undergraduate, graduate, or non-degree seeking) and how they get to campus (walk/bike or car/bus/etc.). The results are summarized in the table below. How do you get to Campus? Walk/Bike Car/Bus/etc. Total Undergraduate 80 20 100 Graduate 40 10 50 Non-degree Seeking 10 40 50 Total 130 70 200 Suppose we choose a person at random from this sample. Which of the following statements is true? (A) If the person uses a car/bus/etc. to get to campus, then he or she is more likely to be a non- degree seeking student than a degree seeking student (undergraduate or graduate). (B) If the person is an undergraduate, then he or she is more likely to use a car/bus/etc. to get to campus than to walk/bike to campus. (C) The person is more likely be a graduate student if he or she uses a car/bus/etc. to get to campus than if he or she walks/bikes to campus. (D) The person is more likely to use a car/bus/etc. to get to campus than…Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.462 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 10 46 Negative test results 37 11 The probability that a randomly selected polygraph test subject was not lying is: (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.462 for a negative test result? because there is Va 0.050 absolute difference between the probability of a true response and the probability of a negative test result.A researcher wants to investigate whether the education level is related to his or her place of residence. Hundred's people were selected randomly. The results are given as follow. Area * Education Level Crosstabulation Education Level Bachelor's SPM Diploma Degree Total Area Urban Count 22 10 18 50 Expected Count 25.0 8.0 17.0 50.0 Rural Count 28 16 50 Expected Count 25.0 8.0 A 50.0 Total Count 50 16 34 100 Expected Count 50.0 16.0 34.0 100.0 Chi-Square Tests Value df Pearson Chi-Square в 2 Likelihood Ratio 1.850 2 Linear-by-Linear Association .778 1 N of Valid Cases a. O cells (0.0%) have expected count less than 5. The 100 minimum expected count is 8.00. a) State a reason of choosing the Chi-Square Test of Independence for this study. b) Calculate the values of A and B. c) At the 5% significance level, test whether education level is associated to his or her place of residence.
- Answer for this word bank questionRefer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.443 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) O Positive test results 10 44 Negative test results 36 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.443 for a negative test result? because there is V a 0.050 absolute difference between the probability of a true response and the probability of a negative test result. Enter your answer in the answer box. Prise 6. LEGOYear 1 Discussion Questions 2. The following is the experience of Insurer A for the last three years: a. What is the frequency of losses in year 1? b. Calculate the probability of a loss in year 1. c. Calculate the mean losses per year for the collision claims and losses. d. Calculate the mean losses per exposure. e. Calculate the mean losses per claim.. f. What is the frequency of the losses? g. What is the severity of the losses? Number of Exposures 10,000 10,000 10,000 Number of Collision Claims 375 030 420 Collision Losses (5) 350,000 250,000 400,000
- Twelve HSS students have been randomly assigned to one of three different statistics classes: one is taught by Professor Lavigne, another is taught by a monkey, and the last group has no professor and requires that students learn on their own. Here are the data: Final grade in class: Prof Lavigne: 67,74,82,55 Monkey: 43,66,52,10 No professor: 97,87,86,78 We now want to figure out if the average final grade in each class is different from one another. What kind of analysis does this require? One-way ANOVA A series of two-sample t-tests A series of one-sample t-tests None of the above What degrees of freedom are needed to answer the following question: Are average final grades statistically different in each group? 10 11 2 and 9 3 and 12 No degrees of freedom can be used8) Given the following table with eye color and hair color for a sample of 592 people... Black hair Brown hair Blond hair 16 10 Red hair Total Green eyes Hazel eyes Blue eyes Brown eyes Total 29 14 14 15 54 84 119 20 17 26 94 68 a) What percent of people with brown hair have blue eyes? b) What is the probability someone with green or hazel eyes has red hair? 102 F Par 99+please help answer both in full