1. An experiment was conducted to test the effectiveness of soporific drugs (sleeping pills)in providing substantial sleep (sleeping pills). The variable "extra" stated in the followingtable illustrates how much extra hours sleep relative to a placebo drug (labelled "1")and the experimental drug (labelled "2").a. Provide a Table-Reading Text given the data found below?b. Can you establish a conclusion that Drug 2 is effective? Why or why not?c. Computing for the 95% Confidence Interval using the Standard Error of the Mean,identify the true mean for both drugs 1 and 2? Can you now establish a differencein their effectiveness?Descriptive StatisticsValidMissingMeanStd. Error of MeanStd. DeviationMinimumMaximum1extra1000.7500.5661.789-1.6003.70021002.3300.6332.002-0.1005.500Boxplotsextraextra1086420group

Given the data as Descriptive Statistics extra 1 2 Valid 10 10 Missing 0 0 Mean 0.75…

Answered: 1. An experiment was conducted to test…

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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Interpret the results in substantive terms. That is, did the weight gain differ significantly by therapy group? If so, which group has a larger weight gain?
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
1.
How much customers buy is a direct result of how much time they spend in the store. A study of average shopping times in a large national houseware store gave the following information (Source: Why We Buy: The Science of Shopping by P. Underhill). Women with female companion: 8.3 min.Women with male companion: 4.5 min. Stores that sell mainly to women should figure out a way to engage the interest of men! Perhaps comfortable seats and a big TV with sports programs. Suppose such an entertainment center was installed and you now wish to challenge the claim that a woman with a male friend spends only 4.5 minutes shopping in a houseware store.
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
.. A certain drug is claimed to be effective in curing cold. In an experiment on were given the 500 persons with cold, half of them were given the drug and half of them sugar pills. The patients' reactions to the treatment are recorded in the following table: Helped Harmed No effect Total 30 70 250 Drug Sugar pills 150 130 40 80 250 Total 280 70 150 500 On the basis of the data can it be concluded that there is a significant difference in the effect of the drug and sugar pills ?
Only the question 5 and 6 need to be resolved. Others have been reaolved already. Question: sample of 15, 10 years old children was taken to study whether watching television reduces the amount of physical exercise, causing weight gains. The number of kilograms each child was overweight by was recorded (a negative number indicates the child is underweight). In addition, the number of hours of television viewing per week was also recorded. These data are listed in the table below. Television(hours) 42 34 25 35 37 38 31 33 19 29 38 28 29 36 18 Overweight (Kg) 8 3 0 0 6 6 3 3 -4 4 4 2 1 6 -3 Use an appropriate plot to investigate the relationship between Television(hours) and Overweight (KG). Briefly explain the selection of each variable on the X and Y axes and why? Calculate and interpret the coefficient of correlation (r) between Television(hours) and Overweight (KG).…
Mr. Bates wants to compare the midterm scores of his students who took the course during the fall semester versus the spring semester. Here is the data: Fall 89 86 64 91 72 94 87 83 86 90 74 59 87 97 87 Spring 76 70 82 94 76 66 72 51 75 97 74 81 85 96 74 Can he say that there was a significant difference between his fall and spring students? (Use α = .10)
4. An experimenter studies vision in low light by having participants sit in a darkened room for 5, 15, or 25 minutes and then tests their ability to correctly identify 20 objects. What is te independent variable? Give the levels of the independent varibale - What is the level of measurement of the independent variable? What is the dependent variable? - What is the level of measurement of the dependent variable? - Would you use the values from the independent variable or the dependent variable to create a frequency distribution?
1. Effect size and Cohen's D: a. What is an effect size? What info does it tell you, when is it calculated, etc.? b. What is Cohen’s d? What info does it tell you about the independent variable and dependent variable? (think of how you write the sentences explaining your numbers)

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