2) Random sample of 11 male high school students and 12 female high schoolstudents are selected within a particular school district. Students' scores on apublic health (PH) awareness test are recorded as described below. The test isscored on a scale of 0-1000, with higher scores indicative of more awareness.StatisticsFemalesMean554.2St.Dev.129.4Test if the male students score significantly higher than the femalestudents on the public health awareness test within the school district. Usea = 0.05. Also give p-value of your test. State all assumption you made.Males560.0133.1

Males : N1 = 11 df1 = 11 - 1 = 10 Mean ( M1 = 560 ) Standard deviation ( S1 = 133.1) Females :…

Answered: 2) Random sample of 11 male high school…

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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A group of students from a private school in San Juan underwent the IQ test and these were the results: 118, 119, 97, 84, 90, 111, 120, 127, 89, 94, 120, 119, 133, 135, 114, 119. 1) What is the mean for these data? 2) What is the mode for these data?
B and C please
A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean exam score on the previous three tests. She then asked them to rate how likely they were to cheat on an exam if the opportunity presented itself with a very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat. Before opening the data, what would you hypothesize about this research question? Open the data set. Before running any statistical analyses, glance through the data. Do you think that your hypothesis will be supported? Conduct descriptive analyses and report them here. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here. What would you conclude from this analysis? What would be your next steps, if this…
b) A test of 80 youths and 120 adults showed that 18 of the youths and 10 of the adults were careless drivers. Use a 1% level of significance to test the claim that youth percentage of careless drivers is higher than the adult percentage
A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in Illinois and Massachusetts. Due to recent trends in the childcare industry, the firm suspects that the that the mean annual income of childcare workers in the state of Illinois is greater than the mean annual income of childcare workers in Massachusetts. To see if this is true, the firm selected random sample of 25 childcare workers from Illinois and an independent random sample of 25 childcare workers from Massachusetts and asked them to report their mean annual income. The data obtained were as follows. Annual income in dollars 45679, 47412, 38478, 44646, 44364, 45265, 41423, 45861, 45936, 34016, 43020, 4960o8, 43710, 45738, 41546, 38681, 34889, 39468, 45463, 53593, 40847, 38255, 45708, 57662, 54356 Illinois 41743, 36349, 44588, 40341, 32544, 38226, 46463, 42255, 38621, 32502, 37378, 40215, 41155, 38509, 47586, 46910, 56502, Massachusetts 48907, 41861, 51211, 55186, 39078, 48263, 48059,…
Previously, an organization reported that teenagers spend 8.5 hours per week, on average, on the phone. The organization thinks that, currently, the mean is higher. Twenty-three randomly chosen teenagers were asked how many hours per week they spend on the phone, with the following results (in hours): 8.3, 8.5, 10.5, 2.9, 6.7, 7.7, 13.8, 7.8, 8.7, 11.8, 12, 6.1, 5.4, 5.8, 8.5, 7.9, 10.1,11.1, 11.6, 12.9, 3.6, 6.4, 11.2 Perform a hypothesis test using a 3% level of significance. Step 1: State the null and alternative hypotheses. Ho: ??v H: ? v ? v (So we will be performing a Select an answer v test.) Step 2: Assuming the null hypothesis is true, determine the features of the distribution of point estimates using the Central Limit Theorem. v with By the Central Limit Theorem, we know that the point estimates are Select an answer and distribution standard deviation distribution mean Step 3: Find the p-value of the point estimate. P? v? v = P(| ? ♥| ? v
40 people are randomly sent to walk one of four trails. The time (in minutes) they spend completing each trail is recorded in the table below. (a) Test to see if the times needed to complete a trail vary. Use a 0.05 significance level. (b) Test each pair (A/B, A/C, A/D, B/C, B/D, C/D) to see which trails have a statistically significant difference. Indicate your p-value for each comparison, and when the effect is statistically significant (use 0.05 as your significance level), declare which trail of the two takes more time to complete. Trail A - 30, 33, 41, 27, 36, 31, 37, 40, 29, 35 Trail B - 27, 33, 38, 41, 40, 38, 35, 44, 41, 39 Trail C - 25, 34, 41, 39, 32, 30, 36, 35, 27, 33 Trail D - 41, 39, 46, 37, 40, 42, 50, 42, 50, 33, 47, 43
A company executive claims that employees in his industry get 100 junk emails per day. To further investigate this claim, the tech department of the company conducts a study. The executive selects a random sample of 10 employees and records the number of junk emails they received that day. Here are the data: 125, 101, 109, 94, 122, 92, 119, 90, 118, 122. The tech department would like to determine if the data provide convincing evidence that the true mean number of junk emails received this day by employees of this company differs from 100. What are the appropriate hypotheses? A. H0: p = 100 versus Ha: p ≠ 100, where p = the true proportion of junk emails received this day by employees of this company B. H0: p = 100 versus Ha: p > 100, where p = the true proportion of junk emails received this day by employees of this company C. H0: μ = 100 versus Ha: μ ≠ 100, where μ = the true mean number of junk emails received this day by employees of this company D. H0: μ = 100 versus Ha: μ…
please dont use excel. i need all steps.
Can someone answer g.) h.) and i.) please?
A Pupillometer is a device used to observe changes in an individual’s pupil dilations as he or she is exposed different visual stimuli. A Research Laboratory used a pupillometer to evaluate consumer reaction to different silverware patterns for one of its client companies. Suppose 15 consumers were chosen, and each was shown two different silverware patterns. The pupil dilation for each pattern shown was measured and their difference was computed. The sample mean of the differences in pupil dilation per consumer between silverware patterns 1 and 2 was 0.2393 mm and the sample standard deviation of the differences was 0.1608 mm. (a) Construct a 90% confidence interval to estimate the true difference in mean pupil dilation per consumer for silverware patterns 1 and 2 in the population. (b) What assumptions are required for the confidence interval of part (a) to be statistically valid?

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