A study was conducted to see how people reacted to certain facial expressions. A sample group of n = 36 was randomly divided into six groups. Each group was assigned to view one picture of a person making a facial expression. Each group saw adifferent picture, and the different expressions were (1) Surprised (2) Nervous (3) Scared (4) Sad (5) Excited (6) Angry. After viewing the pictures, the subjects were asked to rank the degree of dominance they inferred from the facial expression they saw. (Thescale ranged from -10 to 10) The data collected is summarized in the table below.Surprised Nervous Scared Sad Excited Angry-0.5 -1.90.2 1.4 -0.4 1.31.1-2-0.2 -0.5-1.4 -1.90-1.9-1.9 1.71.6 -1.90.9-1.4 0.80.9 -1.80 0.4 -0.3 -1-1SSMSF1.9-1.30.5-1.4 0.2 0.4 0.2Complete the following ANOVA tableSourcedfExpressionsErrorTotal-1.3

There are 6 independent samples which are Surprised, Nervous, Scared, Sad, Exited, and Angry. We…

Answered: study was conducted to see how people…

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 researcher wanted to test whether people tended to trust people who smiled more than people who did not smile. To test that, she collected a sample of fifty people and presented each of them with 48 pairings of photos. Each pairing was made of one photo of a smiling person, and another photo of a person who was not smiling. The subjects were asked to select the person they trusted more. For each subject, the researcher measured the number of times a smiling person was selected. Based on the null hypothesis, what should be the mean number of times a smiling person is selected? 1. 48 2. 25 3. 50 4. 24
A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 20 college students and obtained the following data:8, 8.3, 7.8, 7.7, 8.6, 8.1, 7.7, 8.5, 8.1, 8.2, 8.2, 7.9, 8.5, 7.9, 8.3, 8.2, 7.8, 7.8, 7.8, 7.7Assuming the population standard deviation is σ=0.31σ=0.31, construct a 86% confidence interval for the average hours of sleep per night that college students get.xˉ=x̄=α2=α2=zα2=zα2=Margin of Error: E=E=We are 86% confident that college students get an average of between hours and hours of sleep per night. Submit QuestionQuestion
A random sample of single males and single females (ages 21 to 76) was obtained. The sample includes those currently separated, divorced, or widowed. The subjects were given a trait and asked to respond whether the trait was a deal-breaker in terms of maintaining the relationship. The results of the survey are provided in the table for the trait "stubborn". Is there a significant difference between males and females who consider the trait "stubborn" a relationship deal-breaker? Use the a = 0.05 level of significance. Click the icon to view the survey results. State the null and alternative hypotheses. Ho: PM PF %3D Survey Results H1: PM + PF Determine the size of each sample. Trait: Stubborn = 544 Males Females NE = 556 Yes 174 189 (Type integers or decimals. Do not round.) No 370 367 Determine the sample proportion of each gender that considers stubbornness to be a relationship deal-breaker. Print Done PM PF = (Round to three decimal places as needed.)
In a study about learning styles, researchers used a group of 64 elementary school students who volunteered to be part of the study. The researchers gave each student a pre-test and based upon the results, they divided them into 32 pairs of similarly scoring students. School administrators then randomly assigned one student from each pair to mathematics instruction online while the other student received in-person instruction in a traditional classroom. At the end of the year, all 64 students received a mathematics assessment, measured on a 100-point scale. The researchers calculated the difference (in person −− online) in the mathematics assessment scores for each pair of students. The 32 differences had a mean of 15 and a standard deviation of 3.9 points. Construct and interpret a 95% confidence interval for the mean difference (in person −− online) in the mathematics assessment scores for all pairs of students like these who learn math either face-to-face or online.
The operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table. Perfect Satisfactory Defective Total Shift 1 106 124 2 232 Shift 2 66 85 3 154 Shift 3 36 74 3 113 Total 208 283 8 499 A) This sample has degree of freedom:��= If shift and quality are independent, thenB) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is�1,1= C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table iscomponent1,1= D) �2 value of this sample is�2= . Round to 2 decimal…
How young is too young to have a cell phone? A group of eighth-grade boys and girls were surveyed and asked if they had a cell phone, with the following results. Cell Phone No Cell Phone Boys 54 46 Girls 57 43 (a) Draw a stacked bar chart to describe the data. I Cell Phone I No Cell Phone 1 Cell Phone I No Cell Phone 1 Cell Phone I No Cell Phone Frequency Frequency Frequency 100 100 100 80 80 80 60 60 60 40 40 40 20 20 20 Gender- Gender- Gender Boys Girls Вoys Girls Воys Girls Cell Phone No Cell Phone Frequency 100 80 60 40 20
In the 2014-2015 academic year, many public universities in the United States raised tuition and fees due to a decrease in state subsidies. The change in the cost of tuition, a shared dormitory room, and the most popular meal plan from the 2014- 2015 academic year for a sample of 10 public universities were as follows: $1589, $593, $1223, $869, $423, $1720, $708, $1425, $922 and $308. Run the descriptive statistic measures for this data set and interpret the results for the following concepts:
The P&G marketing team has created two potential slogans for the new Smile toothpaste. The uplifting slogan is, “Smile when you buy Smile!”. The serious slogan is, “Buy Smile to keep your smile.” Before deciding which slogan to use, the marketing team runs an experiment to see how individuals respond to these two slogans. The marketing team recruits 46 people to participate in this experiment, randomly assigning 24 participants to read the uplifting slogan and 22 participants to read the serious slogan. After reading the slogans, all participants rate how likely they are to buy the new Smile toothpaste on a scale from 1 (definitely will NOT purchase) to 10 (definitely will purchase). The group of participants who read the uplifting slogan has a mean score of 6.67, with a sum of squares of 323. The group of participants who read the serious slogan has a mean score of 4.77, with a sum of squares of 221. Do participants who read the uplifting slogan versus the serious slogan differ…
Caden then performs a significance test. First, he performs 100 simulations. For each simulation, he randomly reorganizes the subjects into two groups, A and B, of size 10. In the simulations, group A plays the role of the treatment group and group B plays the role of the control group. After each simulation, he subtracts the average for group B from the average for group A. The distribution of the differences for all 100 simulations is shown in the histogram. 30 28 26 24 22 12 10 6. 2 Group A avg. - Group B avg. In the original experiment, the average for the treatment group was 0.8 higher than the average for the control group. Based on the 100 simulations, are the results of the experiment significant at the 5% level? yes no Number of simulations [-2.7, -2.2) [-2.2, -1.7) [-1.7, -1.2) [-1.2, -0.7) [-0.7, -0.2) [-0.2, 0.3) [0.3, 0.8) [0.8, 1.3) [1.3, 1.8) [1.8, 2.3) [2.3, 2.8)
Does the location of your seat in a classroom play a role in attendance or grade? 1600 students in a physics course were randomly assigned to one of four groups. The 400 students in group 1 sat 0 to 4 meters from the front of the class, the 400 students in group 2 sat 4 to 6.5 meters from the front, the 400 students in group 3 sat 6.5 to 9 meters from the front, and the 400 students in group 4 sat 9 to 12 meters from the front. Complete parts (a) through (c). Click the icon to view the chi-square table of critical values. (a) For the first half of the semester, the attendance for the whole class averaged 83%. So, if there is no effect due to seat location, we would expect 83% of students in each group to attend. The data show the attendance history for each group. How many students in each group attended, on average? Is there a significant difference among the groups in attendance patterns? 3 4 Group Attendance 1 0.84 0.84 0.84 0.80 The number of students who attended in the first…
In a study about learning styles, researchers used a group of 64 elementary school students who volunteered to be part of the study. The researchers gave each student a pre-test and based upon the results, they divided them into 32 pairs of similarly scoring students. School administrators then randomly assigned one student from each pair to mathematics instruction online while the other student received in-person instruction in a traditional classroom. At the end of the year, all 64 students received a mathematics assessment, measured on a 100-point scale. The researchers calculated the difference (in person −− online) in the mathematics assessment scores for each pair of students. The 32 differences had a mean of 15 and a standard deviation of 3.9 points. Construct and interpret a 95% confidence interval for the mean difference (in person −− online) in the mathematics assessment scores for all pairs of students like these who learn math either face-to-face or online.
Twenty-nine college students, identified as having a positive attitude about Mitt Romney as compared to Barack Obama in the 2012 presidential election, were asked to rate how trustworthy the face of Mitt Romney appeared, as represented in their mental image of Mitt Romney’s face. Ratings were on a scale of 0 to 7, with 0 being “not at all trustworthy” and 7 being “extremely trustworthy.” Here are the 29 ratings: 2.6 3.2 3.7 3.3 3.4 3.6 3.7 3.8 3.9 4.1 4.2 4.9 5.7 4.2 3.9 3.2 4.5 5.0 5.0 4.6 4.6 3.9 3.9 5.3 2.8 2.6 3.0 3.3 3.7 a 95% confidence interval for the mean rating. Is there significant evidence at the 5% level that the mean rating is greater than 3.5 (a neutral rating)?

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