In a certain populalion, let us assume that IQ scores are normally distributed with meanof 100 and standard devialion of 15. What percentage of the population have IQ scaresmore than 116?Select one:a. 0.6808O b. 0.2327O c. 0.3192C d. 0.8577e. 0.1423f. 0.7673

Given,mean(μ)=100standard deviation(σ)=15

Answered: In a certain populalion, let us assume…

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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What is Ha? (H0 is the mean VIQ scores for the younger, middle-aged, and older subjects are all not different from each other) (Note: 1= 5-25 Years, 2= 26-59 Years, 3= 60-92 Years) Multiple Choices: 1. H0 is not true 2. The mean VIQ scores for the younger, middle-aged, and older subjects 3. are all different 3. The mean VIQ scores for the younger, middle-aged, and older subjects are not equal to one another 4. The mean VIQ scores for the younger, middle-aged, and older subjects are not the same as each other
The first two select your answers have the following options: greater than less than less than or equal to greater than or equal to equal to not equal to
i Advertising Scores Small sedan Medium sedan Large sedan SUV 4WD Minivan 63 46 60 76 69 41 66 79 76 72 43 63 82 59 68 40 55 82 70 74 42 58 80 72 54 70
What is Ha? (H0 is the mean VIQ scores for the younger, middle-aged, and older subjects are all not different from each other) (Note: 1= 5-25 Years, 2= 26-59 Years, 3= 60-92 Years) Multiple Choices: 1. H0 is not true 2. The mean VIQ scores for the younger, middle-aged, and older subjects 3. are all different 4. The mean VIQ scores for the younger, middle-aged, and older subjects are all different from each other 5. The mean VIQ scores for the younger, middle-aged, and older subjects are not equal to one another 6. The mean VIQ scores for the younger, middle-aged, and older subjects are not the same as each other
Using age as the quantitative variable and marital status (married/not married) as the categorical. Develop two research questions.
6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise performance. Each participant was asked to walk on a treadmill at a normal pace for 60 minutes, and the kinesiologist recorded the distance walked (miles). She assigned participants to one of 4 conditions that varied in temperature (normal or high) and humidity (normal or high). Mean distance walked by the four groups are shown in the table below. Assume a = .05 and Tukey HSD = 0.39. Normal temperature High temperature Normal humidity M = 3.00 M = 2.80 High humidity M = 2.80 M = 2.00 Complete the following conclusion: The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00, p<.05] and humidity [F (1, 24) = 19.65, p<.05] and a significant Temperature x Humidity interaction [F (1, 24) = 9.25, p < .05].
A researcher speculates that because of differences in diet, Japanese children have a lower mean blood cholesterol level than U.S. children do. Suppose that the mean level for U.S. children is known to be 175. Let ? represent the true mean blood cholesterol level for Japanese children. What hypotheses should the researcher test? H0: ? = 175 versus Ha: ? > 165H0: ? = 175 versus Ha: ? < 185 H0: ? = 175 versus Ha: ? < 175H0: ? = 175 versus Ha: ? > 175H0: ? = 185 versus Ha: ? > 175
15. Research results suggest that IQ scores for boys Plomin, 2006). A typical study looking at 10-year-old are more variable than IQ scores for girls (Arden & size would be reported in a journal article. children classifies participants by gender and by low. average, or high IQ. Following are representing the research results. Do the data indicate a significant difference between the frequency distri- butions for males and females? Test at the .05 level of significance and describe the difference. hypothetical data 1 IQ Low Average High Вoys 18 42 20 80 Girls 12 54 14 80 n = 160 Int Ava
2. Which of the following is also equal to median score?* 75th percentile 5th decile 3rd decile 1st quartile
13. Dave likes to grow cucumbers, and each year he experiments with ways to improve his crop. This summer, he wants to determine whether the new fertilizer he has seen advertised will increase the mean number of cucumbers produced per plant. He uses the old fertilizer on 15 cucumber plants and the new fertilizer on the other 13 plants. Over the course of the growing season, he calculates a mean of 17.4 cucumbers per plant for the old fertilizer, with a standard deviation of 2.0 cucumbers. He calculates a mean of 21.6 cucumbers per plant for the new fertilizer, with a standard deviation of 2.7 cucumbers. You may assume that both samples came from populations that are approximately normal. Assume that the population variances are not equal. a. Determine the best point estimate for the true mean difference in cucumber production. Correct notation counts. b. Construct a 95% confidence interval for the true mean difference in cucumber production. For credit, your work must include a…

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In a certain populalion, let us assume Ihat IQ scores are normally distributed with mean of 100 and standard devialion ol 15. What percentage of Ihe population have IQ scares more than 116? Select one: a. 0.6808 O b.0.2327 O c.0.3192 C d. 0.8577 e. 0.1423 t. 0.7673