Working on odds ratios. Dependent variable is Success (no or yes) and is predicted from several variables including ACT (quantitative variable) and Gender (male or female). The odds ratio for ACT is 0.572, which means …………………… The odds ratio for GenderMale is 0.356, which means ………………….

Working on odds ratios. Dependent variable is Success (no or yes) and is predicted from several variables including ACT (quantitative variable) and Gender (male or female). The odds ratio for ACT is 0.572, which means …………………… The odds ratio for GenderMale is 0.356, which means ………………….

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The odds ratio?
The distribution of number of goals scored per match in the 15 home and 14 away matches so far this season for one team in the English Premier Soccer League is shown below. HOME AWAY 2 4 Goals Scored Per Match Which of the following statements is true? (A) The mean number of goals scored in AWAY matches is less than the mean number of goals scored in HOME matches. (B) The range of goals scored for AWAY matches is greater than the range of goals scored for HOME matches. (C) The shape of the distribution of HOME goals scored is left-skewed. (D) The median number of goals scored for AWAY matches is more than the median number of goals scored for HOME matches. (E) The number of AWAY matches in which the team scored three or more goals is three.
If you look at the differences between the means, once with 10 participants and one mean with 20 participants. (same data set) One mean difference is very large, but non-significant and the other is very small, but came out significant. What could be the reason for this outcome? (My difference in means was with 10 participants: -1.1 and with 20 participants: -5.1)
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Up-County Associates is hired to estimate the proportion of county households that own three or more automobiles. They conducted their survey using a simple random sample of 250 randomly selected households and found that 23% of those households owned three or more automobiles. (a) Is the proportion, 23%, a parameter or a statistic? Explain. (b) If Up-County Associates were to continually choose simple random samples of 250 randomly selected households, each time recording the proportion of households in the sample owning three or more automobiles, what would be the “shape” of the resulting distribution of all these sample proportions? Explain. (c) Suppose now that survey company Lower-County Polling also conducted a survey to determine the proportion of county households that own three or more automobiles, but they surveyed only 100 randomly selected households. If Lower-County Polling were also to sample over and over again (using simple random samples…
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researcher wonders if the amount of sleep new parents get is associated with how grumpy they are. The researcher recruits a sample of 100 new parents and asks them (1) how many hours of sleep they are getting each night, (2) how many hours of sleep their baby is getting each night, and (3) how grumpy they 4 are on a scale from 0 (not at all grumpy) to 100 (very grumpy). They saved the results to a file called hwo_parenthood. cs. Load the data into jamovi and answer the following questions. 3. What is the value of the test statistic for each association? 4. What is the degrees of freedom for each association? 5. What is the precise p-value as reported by jamovi for each association? Make sure you report the value to at least three decimal places. 6. Which of the associations are significant?? 7. What is the direction of each association ? 8. What is the effect size for each association? Are they weak, moderate, or strong? 9. What does each of the associations mean in plain language?
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