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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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You want to determine if city of residence impacts salary due to the
COVID-19 epidemic. You recruit 50 subjects each from St. Louis,
Memphis, and New Orleans and record their salary in January and July of
2020. To determine the location, time (January vs. July) and combined
. Assume all assumptions
effects on salary, you would use a
are met for a parametric test.
Factorial ANOVA
One-way repeated measures ANOVA
Factorial repeated measures ANOVA
One-way ANOVA

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In a Munich high school, A class has 20 students, the instructor gave two exams, one take home exam and one live exam. He inspected the answers of the students and scored them for their similarity to rest of the class. (in the picture) Was the similarity of the answers higher in the Take Home exam or Live Exam? Perform a hypothesis test on differences to make your decision, use α = 0.05.(Non-parametric Test)
also final option We should not reject the null hypothesis because t0>tα. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average speed of vehicles traveling on the highway is greater than 61miles per hour.
Can we use a parametric test or non-parametric test if we wanted to analyze two data sets with the first data set (old) being normally distributed while the second data set (young) is not normally distributed?
Lastly, the nutritionist wants to determine if the satisfaction levels (measured from 1-10, 10 being the highest) of the clients on the high-protein diet are the same among the three types of meat. Which between a parametric test or a non-parametric test will you suggest to analyze the given data?
What tests are more powerful than the what test, which means the what is higher for the nonparametric test?
A company that manufactures classroom chairs claims that the mean breaking strength of the chairs they make is more than 300 pounds. You observe a chair break beneath a 220 pound student and wish to investigate whether the manufacturer is exaggerating about the strength of their chairs. A) State the null and alternative hypothesis B) describe a type I and type II error in the context of the problem
Identify the (a) appropriate non-parametric procedure and (b) provide a short justification why the test is appropriate. Researchers aim to compare the distribution of the number of hours per week spent on Facebook for freshman, sophomore, juniors and seniors, based on random samples of 10 students per group. Data is not normally distributed.
Devise a null and alternate hypothesis l, then perform a t-test using alpha 0.05 if the students who major in nursing and public services live on average further away from home than students majoring in Arts and sciences, applied science and technology, and business management. Graphically display answer and perform statistic write up Use the mean of distance from work to compare the 2 categories. 1 group being students major in nursing and public services group 2 being students who major in Arts and sciences, applied science and technology, and business management.
Makers of generic drugs are required to show that their generic drugs do not differ significantly from the “reference” or brand name drugs that they imitate. One aspect in which the generic drugs might differ is their extent of absorption in the blood. Twelve subjects were available for the study. Six were randomly selected to receive the generic drug first and then, after a washout period, receive the “reference” drug. The remaining six received the “reference” drug first, followed by the generic drug after the washout period. Suppose the actual p-value for a two-sided test is 0.140. On the basis of this p-value, what should you conclude at α = 0.05? Group of answer choices The mean difference between the absorption rate of the reference drug and the absorption rate of the generic drug is equal to zero There is insufficient evidence to conclude that the mean difference between the absorption rate of the reference drug and the absorption rate of the generic drug is not equal to…
In a study of palatability of antibiotics for children, Doreen Matsui and her colleagues used a voluntary sample of healthy children to assess their reactions to the taste of four antibiotics. The children’s responses were measured on a 10-centimeter visual analog scale that incorporated the use of faces, from sad (low score) to happy (high score). The minimum and maximum scores were, respectively, 0 and 10. The data in the following table (simulated from the results given in Matsui’s report) were obtained when each of five children were asked to rate the taste of all four antibiotics. AntibioticChild I II III IV 1 4.8 2.2 6.8 6.22 8.1 9.2 6.6 9.63 5.0 2.6 3.6 6.54 7.9 9.4 5.3 8.55 3.9 7.4 2.1…
It is important to consider the possibility of a type II error when a nonparametric test fails to reject H0. There may be a true effect or difference, yet the nonparametric test is underpowered to detect it. True False
A researcher wants to understand how an annual mortgage payment (in Ringgit) depends on income level and zonal location allowing for interaction. The data are shown below. a. Specify the null and alternative hypotheses to test whether there is interaction between income and zonal location. b. Determine the total sum of square, sum of square for income (factor A), sum of square for zonal location (Factor B), sum of square for the interaction between income and zonal location, and error sum of square. c. Determine the mean square for income (factor A), mean square for zonal location (Factor B), mean square for the interaction between income and zonal location, and mean square error. d. Determine the F-Statistics and P-Value for income, zonal location and interaction between income and zonal location.

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