:: AppseTextbook: Statistics for The Behavioral ScienceseTextbook: StatisticsQuick TourPrintSearchAnnotations Accessibility Bookmarkfor The Behavioral.12. Gaucher, Friesen, and Kay (2010) found that masculine-themed words (such as competitive, independent, analyze, strong) are commonly used in job recruitment materials, especiallyfor job advertisements in male-dominated areas. In a similar study, a researcher counted the number of masculine-themed words in job advertisements for job areas, and obtained theCover Pagefollowing data.A Title PageA Copyright PageAreaNumber of Masculine WordsA PrefacePlumber14A About the AuthorsElectrician12Chapter 1. Introduction to>StatisticsSecurity guard17v Chapter 2. FrequencyDistributions2.1. Frequency Distributionsand Frequency Distrib.Вookkeeper92.2. Grouped FrequencyNurseDistribution Tables2.3. Frequency DistributionGraphsEarly-childhood educator72.4. Percentiles, PercentileRanks, and Interpolat.2.5. Stem and Leaf DisplaysDetermine what kind of graph would be appropriate for showing this distribution and sketch the frequency distribution graph.

To perform a comparison of metric values across different subgroups of data a bar chart can be…

12. Gaucher, Friesen, and Kay (2010) found that masculine-themed words (such as competitive, independent, analyze, strong) are commonly used in job recruitment materials, especially for job advertisements in male-dominated areas. In a similar study, a researcher counted the number f masculine-themed words in job advertisements for job areas, and obtained the following data. Area Number of Masculine Words Plumber 14 Electrician 12 Security guard 17 Bookkeeper 9 Nurse 6. Early-childhood educator 7 Determine what kind of graph would be appropriate for showing this distribution and sketch the frequency distribution graph.

12. Gaucher, Friesen, and Kay (2010) found that masculine-themed words (such as competitive, independent, analyze, strong) are commonly used in job recruitment materials, especially for job advertisements in male-dominated areas. In a similar study, a researcher counted the number f masculine-themed words in job advertisements for job areas, and obtained the following data. Area Number of Masculine Words Plumber 14 Electrician 12 Security guard 17 Bookkeeper 9 Nurse 6. Early-childhood educator 7 Determine what kind of graph would be appropriate for showing this distribution and sketch the frequency distribution graph.

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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64 owners and a similar age group of pet owners. The pet owners are matched one to one with the non-pet owners for income, number of close friendships, and 0. A researcher uses a matched-subjects design to in- than singles without pets. A mood inventory survey vestigate whether single people with pets are happier happier is given to a group of 20- to 29-year-old non-p general health. The data follow: Non-Pet Owner Pet Owner Matched Pair 12 14 8. 10 13 9. 9. D 13 E 10 12 F a. Is there a significant difference in the mood scores for non-pet owners versus pet owners? Test with a = .05 for two tails. b. Construct the 95% confidence interval to estimate the size of the mean difference in mood between the population of pet owners and the population of non-pet owners. (You should find that a mean difference of p, = 0 is an acceptable value, which is consistent with the conclusion from the hypoth- esis test.) %3D D. AB
A group conducted a study of the calorie content of different types of beer. The calorie content (calories per 100 ml) for 26 brands of light beer are summarized in the table below. 43 39 25 35 34 19 37 41 30 38 31 27 33 41 39 29 22 41 27 28 39 24 22 36 37 35 (a) Construct a stem-and-leaf display using stems 1, 2, 3, and 4. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Calorie Content 1 2 3 4 Stem: Tens Leaf: Ones (b) Describe the calorie content of light beers. (Select all that apply.) There are no gaps in the data. A typical calorie content is 40 calories per 100 ml. There is a large gap in the data. A typical calorie content is 33 calories per 100 ml. The distribution is negatively skewed, with one peak. The distribution is roughly symmetric. The distribution is positively skewed, with one peak.
We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. What is the conditional distribution of high salary when looking only at those who have high batting averages? 2. What is the marginal distribution of high salary? 3. Give the four expected counts.
24. The personnel manager of a consumer product company asked a random sample of employees how they felt about the work they were doing. The following table gives a breakdown of their responses by gender. Do the data provide sufficient evidence to conclude that the level of job satisfaction is related to gender? Use a = 0.10 Gender Male Female Very Interesting 70 35 Response Fairly Interesting 41 34 Not Interesting 9 11
A samll town installed a Blue streetlights, in part, to help reduce crime in particular areas. The city collected the number of property crimes along nine randomly selected streets in the month before and after the Blue light installation, and claims that crime has been reduced.The number of crime data is shown in the table. No before Blue Light After Blue Light 1 17 14 2 25 20 3 10 14 4 14 12 5 16 8 6 34 35 7 32 27 8 21 18 9 14 12 a. Specify the competing hypotheses to test the s,all town's claim.b. Calculate the value of the relevant test statistic and find the critical value at the 5% significance level.c. Does the evidence support the small town's claim at the 5% significance level?
Medical researchers followed 6272 Swedish men for 30 years to see if there was any association between the amount of fish in their diet and prostate cancer. (“Fatty Fish Consumption and Risk of Prostate Cancer,” Lancet, June 2001). A summary of the data is given in the table below. Fish Consumption No Prostate Cancers Prostate Cancers Never/Seldom 110 14 Small part of diet 2420 201 Moderate part of diet 2769 209 Large part of diet 507 42 A) If a patient is randomly selected, what is the probability that he/she had prostate cancer given that fish was never or seldom a part of the diet? Round your answer to three decimal places and include the leading zero. B) If a patient is randomly selected, what is the probability that s/he ate fish as a large part of their diet given that they had prostate cancer. Round your answer to two decimal places and include the leading zero.
A sample of 349 students at a university is surveyed. The students are classified according to gender ("female" or "male"). They are also classified according to major ("biology", "business", "engineering", "mathematics", or "computer science"). The results are given in the contingency table below. Biology Business Engineering Mathematics Computer science Female 40 24 33 44 32 Male 29 35 32 37 43 What is the relative frequency of female students in the sample? Round your answer to two decimal places. 0 X S ?
5. A high school teacher wants to see if there is an effect on vocabulary recall between when students take a quiz before lunch and when they take it after lunch. She randomly selected 10 students and assessed them before lunch on Tuesday. On Wednesday she randomly selected 10 students and assessed them after lunch. The following were the percentage results Before lunch 62 60 68 64 72 75 63 60 64 80 After lunch 72 85 72 62 84 76 66 63 65 64 What type of samples were selected – independent or dependent (paired)? Explain. StatCrunch was used to analyze the data, and the output for both types of samples (independent and dependent) is given below. Using the appropriate output, determine if the mean quiz score is higher for those who take the quiz before lunch over those who take the quiz after lunch at a significance level of 0.05. Hypothesis test results: mean before lunch mean after lunch Hypothesis test results: : µi - µ2 : mean of the PAIRED difference µ2 : between Before and After…
We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. The given χ2test table gives many test statistics. The row we want to look at is labeled Pearson Chi-Square. Give the test statistic, the degrees of freedom, and the p-value. 2. At a significance level of .05, what can you conclude in the context of this problem?
Hospitals In a study of births in New York State, data were collected from four hospitals coded as follows: (1) Albany Medical Center; (1438) Bellevue Hospital Center; (66) Olean General Hospital; (413) Strong Memorial Hospital. Does it make sense to calculate the average (mean) of the numbers 1, 1438, 66, and 413?
The following contingency table represents a cross-classification of hair color and eye color males. Is there an association between hair and eye color in males? Hair Color Eye Color H1 Н2 H3 H4 E1 1768 807 189 47 E2 946 1387 746 53 ЕЗ 115 438 288 16
6. A study of report writing by psychologist is conducted. A scale that measures the intelligibility of psychologist English is devised. This scale, called an "index of confusion" is devised so that low scores indicate high readability. These data are obtained on articles randomly selected from psychology journals and from unpublished reports written in 2015. Unpublished reports 2.39 Journals 1.79 1.75 1.67 1.65 2.51 2.86 2.14 1.87 1.75 1.94 2.56 2.29 2.49 1.62 2.06 1.33 2.36 2.58 2.33 1.96 1.69 1.70 2.62 2.41 1.94 a. Test the appropriate hypotheses. b. Does there appear to be a difference between u, and u, ? Explain.