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
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?
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!
A preschool teacher is interested in whether the type of math program used impacts learning. One class receives a workbook to complete at home and another class receives an interactive app. The preschool teacher then compares whether those who received the interactive app versus the workbook perform better on a math test (percentage correct). Identify the independent variable and the operational definition Identify the dependent variable and the operational definition. Below you will find data for this experiment. Draw a histogram for each of the math programs. Determine if the data for each condition presents any skewness or kurtosis properties. Compute the following for each condition below: ∑X ∑(X)2 ∑X2 ∑(X-1) ∑(X-1)2 Workbook X f 80 2 79 2 75 3 81 1 60 5 65 6 75 8 App X f 90 5 80 3 82 4 94 3 78 2 93 4 92 6
The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes| 358 444 No 252 354 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Но: Select an answer > Select an answer > Select an answer (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H1: Select an answer > Select an answer Select an answer O (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value (Please show your answer to %3D 4 decimal places.)

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