Dr. Springer collected data to see whether people who eat an all-carbohydrate meal havedifferent scores on a mood scale than people who eat an all-protein meal. Higher scoresrepresent better moods. Here are her results:All Carbs All Protein107847992813137712Is there a difference in reported mood between the two groups? Use a two tailed test with an a= 0.05.Step 4: Make a decisionOur test statistic has a value of t =I, and in Step 2 we found that the criticalvalue is t* =the null hypothesisTherefore, we (write: reject or fail to reject)

To determine if there is a significant difference in reported mood between the two groups (All Carbs…

Answered: Dr. Springer collected data to see…

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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For the folllwing two questions state the response variable and the explanatory variable 1.Is there a relationship between the final rating given by the customer and the number of exchanges during the conversation? If so, which of the exchange categories have significantly different mean ratings? 2. It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study.
You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…
Consider the following data for this question B1 B2 A1 M = 10 M = 20 A2 M = 30 M = ? The above data, what value for the missing mean would result in no interaction between A and B? Select one: a. 20 b. 30 c. 10 d. 40
People tend to evaluate the quality of their lives to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted interviews with frail elderly people. In the interview, each person was compared with fictitious others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives. Following are hypothetical data similar to those obtained in the research study. The scores are measures of a life-satisfaction scale for a sample of n=9 elderly people who completed the interview. Assume that the average score on this scale is u=20. What is your computed t? Use a one-tailed test with a=0.05. The life satisfaction scores are 18, 23, 24, 22, 19, 27, 23, 26, 25. Note: S2-sS (sum of squares)÷df (degrees of freedom) Answer:
what test is applicable in this situation
What kind of test is used for this problem? How is it solved step by step?
4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?
You should use a webpage to find the test stat for this problem, Also look at the p-value if the p-value is less than 0.05 there is strong evidence the variables are dependent (there is a difference in proportions). The following data set is the results of some market research were some people were shown one ending (ending 1) and other people were shown a different ending (ending 2), they were asked if they like the product (yes or no) Yes they liked the ending No they did not like the ending ending 1 15 85 ending 2 75 25 Which option below has all the correct options to the chi square test of independence?
Do colors affect mood? You are particularly interested to know which color gives people a sense of serenity and peacefulness. You conduct an experiment by making participants stay for 20 minutes inside a room painted with a particular color (e.g., Red, Orange, Yellow, Green, Blue). With the use of temperature-sensitive cameras, you record the average body temperature of each individual during their stay inside each room (i.e., lower body temperatures are associated with feelings of calmness and relaxation; higher body temperatures - stimulation, excitement). Results are presented on the table. Red Orange 39 Yellow Green Blue 43 38 33 31 39 43 39 35 34 41 44 42 34 32 42 35 39 37 32 45 40 39 36 35 41 39 38 33 34
People tend to evaluate the quality of their lives to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted interviews with frail elderly people. In the interview, each person was compared with fictitious others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives. Following are hypothetical data similar to those obtained in the research study. The scores are measures of a life-satisfaction scale for a sample of n=9 elderly people who completed the interview. Assume that the average score on this scale is u=20. Are the data sufficient to conclude that the people in this sample are significantly more satisfied than others in the general population? Use a one-tailed test with a=0.05. The life satisfaction scores are 18, 23, 24, 22, 19, 27, 23, 26, 25. Do the 4-step procedure to know your answer. You can answer either a "Yes" or "No". Answer:
For the following situations, identify the test you would run to analyze the data: A marketing firm producing costumes is interested in studying consumer behavior in the context of purchase decision of costumes in a specific market. This company is a major player in the costume market that is characterized by intense competition. The company would like to know in particular whether the income level of the consumers (measured as lower, middle, upper middle, and upper class) influences their choice of costume type. They are specifically focused on four types of costumes (funny costumes, scary costumes, clever costumes, and boring costumes). a. Chi-Square Goodness of Fit b. Frequencies c. Descriptive Statistics d. Chi-Square of Independence
Please answer first pic is for reference. F and P Value ty!

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