QUESTION 6You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and aneutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviationof 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. Forthe neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8.The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. What is the degrees offreedom between samples? Please do the calculations on the handout provided.

Given information: There are 3 groups. Each group has 5 participants. Total number of participants…

Answered: You are interested in seeing whether…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
Given that Canada's population is primarily made up of young citizens, then the histogram would be? Is it symmetrical or asymmetrical? Is it skewed to the left or skewed to the right if asymmetric? Or is it impossible to determine? Explain. What if the majority of the population is elderly? Will the response be the same?
Which of the following individuals is likely to be excluded from a clinical trial? An individual with other diseases besides the disease of interest. An individual whose data is considered to be an outlier. An individual of who is considered to be a minority. An individual who will have difficulty complying trial protocols.
One study found a negative correlation between participant’s age and hours of sleep they got (as they got older, they slept less). Which additional fact would lead you to believe that the relationship between age and hours of sleep is one of causation and not correlation? Jim is 63 and sleeps more than he did when he 47. Josie is 40 and sleeps fewer hours than when she was 30. The participants were randomly selected, the sample size was large, and the participants did not know the goal of the study. Jennie sometimes has difficulty sleeping.
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.
(a) TV stations use ratings to decide which shows to keep or cancel. Therefore, the A. C. Nielsen Company collects data on the TV viewing habits of Americans and publishes the information in Nielsen Report on Television. Suppose that you want to use a paired sample to decide whether the mean viewing times of married men and married women differ: 1. Identify the variable. 2. Identify the two populations. 3. Identify the pairs. 4. Identify the paired-difference variable.
Consider a situation in which sampling without replacement is used to generate a random sample from each of two separate populations. To calculate a confidence interval to estimate the difference between population proportions, which of the following checks must be made? * A) Both populations must be approximately normal. B) The data from both samples must be unimodal, symmetrical, and approximately normal. C) Each population must be at least 10 times as large as its corresponding sample. D) Each sample proportion value must be less than or equal to 0.5. E) The sample sizes must be the same.
A recent study on driving behavior examined whether the combination of high driving skills and low safety skills is dangerous. Participants were classified as high or low in driving skill based on responses to a driver-skill inventory, then classified as high or low in safety skill based on responses to a driver-aggression scale. An overall measure of driving risk was obtained by combining several variables such as number of accidents, tickets, tendency to speed, etc. The following data were obtained. Use a 2 x 2 ANOVA with the .05 significance level to evaluate the results. What cutoff score(s) should be used? Driving Skill Low High Safety Skill Low M1=5 M2=4.5 S1=2.7 S2=3.8 N1=6 N2=6 HIgh M3=3 M4=3.5 S3=2.9 S4=2.5 N3=6 N4=6 Group of answer choices +4.35 +3.40 +3.49 +4.26
Please also explain why you determined whether or not the results are statistically significant. In another memory experiment, the mean scores for participants in Condition A and Condition B came out exactly the same!
Devise two scenarios where a dependent/matched/paired t-test would be appropriate. Be sure to express how you would measure your dependent variable.
So far, Walter has scores of 18, 17, 19, and 21 points for the first four science quizzes. What does he need to score on the next quiz in order to achieve an average(mean) score of 20 points per quiz?
EXAMPLE 4.9 Students who seek therapy at university counseling centers often do not attend many sessions. For example, in one study, the median number of therapy sessions was 3 and the mean was 4.6 (Hatchett, 2003). Let’s examine the spread of fictional scores for a sample of five students: 1, 2, 4, 4, and 10 therapy sessions, with a mean of 4.2. We find out how far each score deviates from the mean by subtracting the mean from every score. First, we label with an X the column that lists the scores. Here, the second column includes the results we get when we subtract the mean from each score, or X − M. We call each of these a deviation from the mean (or just a deviation)—the amount that a score in a sample differs from the mean of the sample. X X − M 1 − 3.2 2 − 2.2 4 − 0.2 4 − 0.2 10 5.8 But we can’t just take the mean of the deviations. If we do (and if you try this, don’t forget the signs—negative and positive), we get 0—every time. Are you surprised?…

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