A researcher wants to see if there is a difference in APGAR scores of newborns depending on whether the mother smoked during pregnancy or not. She collects data and analyzes the results using SPSS.What is the correct way to report the results in APA style? Question 23 options: t(58) = 3.288, p>.05 t(58) = 3.288, p= .002 t(26.5) = 3.278, p<.05 t(26.5) =3.278, p=.003 T-TestMother smokesAPGAR noyesAPGAREqual variancesassumedEqual variancesnot assumedGroup StatisticsN4416MeanF.0517.18185.3125Levene's Testfor Equality ofVariancesStd.Deviation.Independent Samples TestSig. t.822 3.2881.94431.9568df583.278 26.5Std. ErrorMean.2931.4892t-test for Equality of MeansSig.(2-tail Meaned)Diff..0021.8693.003 1.8693Std.ErrorDiff..568695% ConfidenceInterval of theDifferenceLower Upper.7312 3.0074.5703 .6982 3.0405

We have given that a researcher wants to see if there is a difference in APGAR scores of newborns depending on whether the mother smoked during pregnancy or not. We have given the output from SPSS. We have to determine the correct way to report the results in APA style. We have to assume that it has an equal variance. So, df = 58, p = 0.002 Therefore, the correct APA format is- t(58) = 3.288, p= .002 Option B is the correct answer.

Math

Statistics

A researcher wants to see if there is a difference in APGAR scores of newborns depending on whether the mother smoked during pregnancy or not. She collects data and analyzes the results using SPSS. What is the correct way to report the results in APA style? Question 23 options: t(58) = 3.288, p>.05 t(58) = 3.288, p= .002 t(26.5) = 3.278, p<.05 t(26.5) =3.278, p=.003

A researcher wants to see if there is a difference in APGAR scores of newborns depending on whether the mother smoked during pregnancy or not. She collects data and analyzes the results using SPSS. What is the correct way to report the results in APA style? Question 23 options: t(58) = 3.288, p>.05 t(58) = 3.288, p= .002 t(26.5) = 3.278, p<.05 t(26.5) =3.278, p=.003

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

GSS 2018 respondents were asked to rate their level of agreement to the statement, “Differences in income in America are too large.” Responses were measured on a 5-point scale: 1 = strongly agree, 2 = agree, 3 = neutral, 4 = disagree, and 5 = strongly disagree. Strong Democrats had an average score of 1.69 (s = 1.04, N = 86) while strong Republicans had an average score of 2.11 (s = 1.05, N = 67). The estimated standard error of the difference between meansis 0.17. What is the appropriate test statistic? Why? Test the null hypothesis with a one-tailed test (strong Democrats are more likely to agree with the statement than strong Republicans); α = .05. What do you conclude about the difference in attitudes for these two political groups? If you conducted a two-tailed test with α = .05, would your decision have been different?
In a study of treatments for very painful "cluster" headaches, 151 patients were treated with oxygen and 153 other patients were given a placebo consisting of ordinary air. Among the 151 patients in the oxygen treatment group, 110 were free from headaches 15 minutes after treatment. Among the 153 patients given the placebo, 29 were free from headaches 15 minutes after treatment. Use a 0.01 significance level to test the claim that the oxygen treatment is effective. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of patients treated with oxygen and the second sample to be the sample of patients given a placebo. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P₁ P2 O B. Ho: P₁ = P2 OC. Ho: P₁ P2 H₁: P₁ = P₂ H₁: P₁ P₂ H₁: P₁ P2 O D. Ho: P₁ P₂ O E. Ho: P₁ = P2 H₁: P₁ P₂ OF. Ho: P₁ = P2 H₁: P₁ P₂ H₁: P₁ P₂ Identify the test statistic. Z= (Round to two decimal places as needed.)…
A sample of N = 9 individuals participates in a repeated measures study that produces a sample mean difference of X = 4.25 with SS = 128 for the difference scores. Is this mean difference large enough to be considered a real positive effect?
There are many ways to measure the reading ability of children. Research designed toimprove reading performance is dependent on good measures of the outcome. Onefrequently used test is the DRP, or Degree of Reading Power. A researcher suspects that themean score µ of all third- graders in Henrico County Schools is different from the nationalmean, which is 32. To test her suspicion, she administers the DRP to an SRS of 44 HenricoCounty third-grade students. The distribution of scores is summarized in the Minitab outputbelow: MEAN STDEV SEMEAN MIN Q1 MEDIAN Q3MAXDRP 35.09 11.19 1.69 14.00 26.00 35.00 44.0054.00 Construct a 90% confidence interval to estimate the mean DRP score in Henrico CountySchools.
Bruce was reading an article. In the Methods section it said that a within subjects ANOVA was carried out. In the Results section, he saw that an SPSS phrase, F (8, 192) = 23.00, p < 0.05. How many levels of the factor did the study have?\
options for first to blanks : 1- between 0.05 and 0.20 /2- greater than 0.20 / 3- less than 0.2 options for last blank : 1- handrubbing with alcohol / 2- handwashing with soap
In a measurement of B two results were obtained, B1 = (8.3+/- 0.78) mT and B2 = (8.81+/- 0.20) mT . The error on the weighted/arithmetic mean is (Report your answer in mT with 3 significant figures)
On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
A student conducted a test at 0.05, and she found the 95% CI to be [4.79,7.25]. The mean for the sample is 6.12. Is the conclusion for the test that there is a significant difference or that there is not a significant difference? You should fully explain how you can use this information to draw a conclusion.
Example Pumpkins were grown under two experimental conditions. Two random samples of 11 and 9 pumpkins show the sample standard deviations of their weights as 0-8 and 0.5 respectively. Assuming that the weight distributions are normal, test the hypothesis that the true variances are equal, against the alternative that they are not, at the 10% level. [Assume that P(F10,823.35) = 0.05 and P (F8, 10 23-07) = 0.05.] -
You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly different from 0.22. Your sample data produce the test statistic z = 3.03 . Find the pvalue accurate to 4 decimal places.
The following equation was estimated by OLS: Unipa = 1.392 - 0.0135 psperc + 0..00148 sat n = 4,137, R2 = 0.273 Where unipa is measured on a four-point scale, psperc is the percentile in the post- sixteen class (defined so that, for example, psperc =5 means the top 5% of the class), and sat is the combined maths and verbal scores on the student achievement test.