3.) A researcher is examining whether blood alcohol level influences gambling behavior. A sample of n=9individuals receive enough alcohol to make them intoxicated, then the researcher obtains an average amountof money spent on gambling of M= $350.00. She then compares this sample mean to a population of soberindividuals' gambling habits (u = $300.00, o = $50.00) by testing at the a = .01 level.a.) Step 1: State the HypothesesHo:H₂:b.) Step 2: Determine the critical region and draw it on the distribution above: Zeziticalc.) Step 3: Calculate the test statistics (here: a z-test). Zobservedd.) Step 4: Make a decision.Circle one: Reject Null (Ho)e.) State your conclusions about the research scenario in sentence form:ord=Fail to Reject Null (Ho)f.) What is the estimated effect size (Cohen's d) in this study? Do you characterize it as being small,medium or large?

given sample size n=9sample mean =350the population mean =300population standard deviation =50level…

Answered: 3.) A researcher is examining whether…

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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The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences Grade0 5.51 52 4.53 3.55 37 2.58 2 Step 2 of 3: Determine if r is statistically significant at the 0.01 level.
Bighorn sheep are found in the mountainous western United States. In the following data, x = the age of bighorn sheep in years and y = the percentage of that age group that die during the course of a year (mortality rate). In the table below, when x = 5, y = 20 meaning that 20% of the sheep aged between 5 and 6 years old die. A random sample of sheep provided the following information: x 1 2 3 4 5 y 14 18.9 14.4 19.6 20 ∑ x = 15 ; ∑ y = 86.9 ; ∑ x 2 = 55 ; ∑ y 2 = 1544.73 ; ∑ x y = 273.4 find m for this data
(a) Find the test statistic. (b) Find the standardized test statistic.
Does money buy happiness? This is an age-old question. A random sample of 1993 subjects were asked to rate their happiness (Not too happy, Pretty happy, or Very happy) and also report their level of income (Above average, average, below average). The table of the observations is presented below. Income Not too happy Pretty happy Very happy Total Above Average 26 233 164 423 Average 117 473 293 883 Below Average 172 383 132 687 Total 315 1089 589 1993
he accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.103 0.073 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.132 0.126 0.122 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.)y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five decimal places.)(b) Compute r2. (Round your answer to three decimal places.)(c) Calculate a point estimate of ?. (Round your answer to four decimal places.)On how many degrees of freedom is your estimate based?
A clinical psychologist is investigating the relationship between sleep and feelings ofanxiety. For a sample of 15 individuals, he asks each participant to indicate how many hours theytypically sleep each night and each participant also completes an anxiety assessment. The followingdata is obtained:Hours of sleep: M=6.0 SS=16.0Anxiety scores: M=8.0 SS=64.0SP = - 20.0 a. Compute the correlation between hours of sleep and anxiety scores.
A researcher selects a sample of 6 men and 11 women. She asks participants to rate the likelihood they would do female-stereotyped jobs (such as nursing or school teaching) on a scale from 1 = not likely at all to 5 = very likely. Men indicated that they would be less likely to do these jobs (M = 2.1) compared with women (M = 4.3). What is the weighted mean for the combined sample of 17 total participants? O O 2.1 4.3 3.2 3.5
An experiment sought to discover if a course on nutrition would influence the Body Mass Index (BMI) of the students enrolled. Measures of body fat percentages were taken before the yearlong course and then again at the end of the course for each of the 10 students. The data are as follows: Student: 1 2 3 4 5 6 7 8 9 10 Before: 16.85 18.62 35.79 22.66 18.74 22.25 19.95 14.61 27.49 20.00 End: 16.42 18.53 36.01 22.53 18.59 22.03 19.25 14.06 26.11 19.42 Test the hypothesis at the 0.05 level of significance that the mean body fat percentages of the students decreased by the end of the course.
Historically, Olympic officials have reported testosterone levels in general should be u = 538 ng/dL, with o = 189, with x being normally distributed. Summer Olympic sprinters (n = 8) from the U.S. were tested for testosterone levels the morning after the opening ceremonies. Their sample mean was ng/dL. Do these data indicate that the sprinters had an overall average testosterone level greater than 538? Use a = .05. State a, H,, H1, p-value, rejection, or non-rejection, and be certain to interpret your results.
The following sample observations were randomly selected: X Y 5 4 10 7 3 7 4 6 6 5 What is the coefficient of correlation? Select one: a. 0.185 b. 0.001 c. 0.034 d. 0.089
Lecture(8.4): Researchers were interested in whether the number of books children carried differed between gender. It was hypothesized that girls would carry more books than boys.Twenty children were recruited and matched based on age and SES..Researchers then collected the number of the age of the appropiate books the children carried. A Summary of the result is given below: Girls 15 7 22 13 26 14 12 11 18 30 Boys 12 10 16 8 17 9 15 10 20 15 Test the hypotheses at (alpha=0.05) level of signifance
A study of the effects of smoking on sleep patterns is conducted. The measure observed is the time, in minutes, that it takes to fall asleep. These data are obtained: Smokers: 63.3 56.0 22.1 47.6 53.2 48.1 52.7 34.4 60.2 43.8 23.2 13.8 Nonsmokers: 28.6 25.1 26.4 34.9 29.8 28.4 38.5 30.2 30.6 31.8 41.6 21.1 36.0 37.9 13.9 (a) Use R and report the number of observations for each group. (b) Use R and report the sample mean for each group. (c) Use R and report the sample standard deviation for each group. (d) Comment on what kind of impact smoking appears to have on the time required to fall asleep.

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