1. Using the data provided, determine the null and alternative hypotheses. Then determine howmany tails this research question has.2. Using the data provided, use what you have learned to calculate all three measures of centraltendency and all three measures of variability3. Based on the data above, describe what type of analysis you plan to carry out and why youchose that type ScenarioA researcher is interested in examining whether or not standardized testing scores are biasedagainst students that are English as a second language (ESL) when compared to native Englishspeakers (EFL). To answer their research questions, they survey senior-level college students,chosen randomly via a random number generator, and ask them about their HSGPA, thecumulative college GPA, and their ESL status. Use the data in the following two scenarios toanswer the researcher's questions.ParticipantNumber12345678∞oa 991011121314151617181920Group Membership12211122121221122112ESLEFLEFLESLESLESLEFLEFLESLEFLESLEFLEFLESLESLEFLEFLESLESLEFLStandardizedTestingExams1822243122132721223322242119222428172121

(1) State the null and alternative hypothesis. Here, the claim of the test is that the standardized…

Answered: 1. Using the data provided, determine…

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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Empathy among police officers influences how they interact with citizens and the likelihood that they receive complaints. Gender differences in levels of empathy in the general population are not large but male and female officers have been shown to have different interaction styles with the public; this may be due to the different empathy levels. After sampling officers and measuring their levels of empathy you find the following data. Males Females n = 6 n = 9 M = 31 M = 45 SS = 490 SS = 680 If you were going to make gender comparisons like this, which option would be the correct choice? Write A or B in the box. [a] Option A. Independent-measures t-test Option B. Repeated-measures t-test
Which of the following is NOT one of the three common errors involving correlation? Question content area bottom Part 1 Choose the correct answer below. A. Correlation does not imply causality B. The conclusion that correlation implies causality C. Mistaking no linear correlation with no correlation D. The use of data based on averages
Conduct a hypothesis for whether consumption and income are linearly related using ? =0.01. The standard error of the slope is 0.144. Slope = 0.75, Intercept = 0, sample:Income 9, 11, 5, 8, 2, 9, 12Consumption 7, 7, 2, 7, 2, 8, 9 Step 1: State the null and alternative hypotheses.Step 2: Choose the significance level.Step 3: Calculate the test statistic.Step 4: Find the critical value(s).Step 5: Compare the test statistic to the critical value(s).Step 6: State the conclusion.
1. Introduction to variability A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. what is the most common value for the variable perseverance among teenage girls? What is the average value for the variable perseverance among teenage girls? What is the central tendency for the variable perseverance among teenage girls? How consistent are the values for perseverance among teenage girls?
Based on the hourly incomes (in US dollars) of employees in two different branches at Citibank, which set of incomes has the most variability? You do not have to calculate anything, but you can if you want to. Just take a look at the incomes and determine which set has the most variability based on the definition.
Critique each of the following proposed research plans. Your critique should explain any problems with the proposed research and describe how the research plan might be improved. Include a discussion of any additional data that need to be collected and the appropriate statistical techniques for analyzing the data. - A researcher is interested in determining whether time spent in prison has a permanent effect on a person’s wage rate. He collects data on a random sample of people who have been out of prison for at least fifteen years. He collects similar data on a random sample of people who have never served time in prison. The data set includes information on each person’s current wage, education, age, ethnicity, gender, tenure (time in current job), and occupation, as well as whether the person was ever incarcerated. The researcher plans to estimate the effect of incarceration on wages by regressing wages on an indicator variable for incarceration, including in the regression the…
9. You are conducting an experiment on the effectiveness of a reading intervention with young children and want to report the descriptive results to your colleagues. Some of the children received the inter- vention, and some did not. What do the averages and standard deviations tell you about the results? For this exercise, use the data in Chapter 3 Data Set 2. No Intervention 18 16 17 15 16 14 22 21 7 24 23 19 12 20 23 Intervention 17 15 21 24 12 16 14 25 19 24 21 25 9 9 13
Report an appropriate hypothesis test for a positive linear relationship and use a 5% significance level. Explain the potential error in words, in context. In the answer options below I have used the phrase “a certain relationship” because I don’t want to give away exactly what type of relationship it is. Group of answer choices We would be accepting that there was a certain relationship between Sale amount and Tip when actually there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when indeed there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when actually there was. We would be accepting that there was a certain relationship between Sale amount and Tip when indeed there was.
There is a strong relationship between heterosexual couples attractiveness scores. Therefore, a researcher wanted to determine if husbands attractiveness score may be predicted from their counterparts’ scores. Below are couples attractiveness ratings. Observation Wife (X) Husband (Y) 1 11 14 2 6 7 3 16 15 4 4 7 5 1 3 6 10 9 7 5 9 8 3 8 Complete the following ANOVA table Source SS DF MS F SSreg SSres SStotal
Calculate the most appropriate measures of central tendency and dispersion for the following variable. Respondents were asked to rank how likely they would support ending Obamacare on a scale ranging from 0, definitely would not support, to 10, would definitely support. Here are their scores: 0, 0, 5, 5, 6, 8, 10, 7, 1, 2, 3, 0, 4, 5, 1, 9, 10, 7, 1, 2, 0, 6, 8
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Fill in the blanks. a. Positive correlations between observations of the response variable result in an underestimate of ________. b. Data collected from a designed experiment is generally preferable to data obtained from ________. c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an _________.

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