Rondale notices that the best bowlers in his bowling league tend to be very outgoing. To test this hypothesis, he records everyone’s average bowling scores and asks them fill out a questionnaire to measure their extroversion scores. He then statistically analyzes the relationship between these 2 variables. What kind of study design did Rondale use? Group of answer choices A. Descriptive B. Experimental C. Case D. Correlational

A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2: Construct a 95 % confidence interval for the true difference between the mean amounts of time…

Emily is a fifth-grade student who completed a standardized reading test. She scored one standard deviation above the mean score. Answer the following questions: How does the normal curve help you understand what this means about how Emily compared to other children who took the test? Explain how you determined your findings. How many children scored lower than Emily? How many children scored higher?

Question 2. Crescent Oil has developed three new blends of gasoline and must decide which blend or blends to produce and distribute. A study of the miles per gallon ratings of the three blends is being conducted to determine if the mean ratings are the same for the three blends. Five automobiles have been tested using each of the three gasoline blends and the miles per gallon ratings; Automobile (Block) 12345 2 4 5 Type of Gasoline (Treatment) Blend X Blend Y Blend Z 31 30 29 33 26 30 29 29 31 25 29.8 30 29 28 Treatment Means a. Compute the analysis of variance for the randomized block design 28.8 29 26 28.4 Block Means 30.333 29.333 28.667 31.000 25.667

For each of the following research situations, identify the level of measurement of all variables. Also, decide which statistical applications are used: descriptive statistics (single variable), descriptive statistics (two or more variables), or inferential statistics. Remember that it is quite common for a given situation to require more than one type of application. The administration of your university is proposing a change in parking policy. You select a random sample of students and ask each one if he or she favors or opposes the change. You then use the results to estimate the support for the change in the entire student body. You ask everyone in your social research class for their highest grade in any math course and the grade on a recent statistics test. You compare the two sets of scores to see if there is any relationship. Your aunt is running for mayor and hires you to question a sample of voters about their concerns. Specifically, she wants a profile of voters that will…

Willerman et al. (1991) collected a sample of 40 right-handed Anglo introductory psychology students at a large southwestern university. Subjects took four subtests (Vocabulary, Similarities, Block Design, and Picture Completion) of the Wechsler Adult Intelligence Scale-Revised (1981). The researchers used Magnetic Resonance Imaging (MRI) to determine the brain size of the subjects. The research hypothesis was that brain size is correlated with IQ. The data are below: Participant 1 2 3 4 6 17 8 Which statistical test would you select: Pearson Correlation Ho: p = 0 H₁: p = 0 ◆ ◆ Enter the data above into and JAMOVI and use the correct statistical procedure to test the null hypothesis - answer the following questions: What is the coefficient that indicates the strength of the relationship? r ◆ = 0 What is the standard error? What is the appropriate 95% CI? [ What is the d-effect size? Brain Size 110 90 100 92 94 98 104 111 What is the t-observed? What is the actual p-value? Complete the…

Houston North Hospital is trying to improve its image by providing a positive experience for its patients and their relatives. Part of the "image" program involves providing tasty, inviting patient meals that are also healthful. A questionnaire accompanies each meal served, asking the patient, among other things, whether he or she is satisfied or unsatisfied with the meal. A 50-patient sample of the survey results over the past 7 days yielded the following data: ITT No. of Unsatisfied Day Patients Sample Size 1 22 50 2 20 50 3 10 50 4 15 50 10 50 6 24 50 7 19 50 The control limits to include 99.73% of the random variation in meal satisfaction are: UCL, = (enter your response as a number between 0 and 1, rounded to three decimal places). LCL, =|(enter your response as a number between 0 and 1, rounded to three decimal places). Based on the developed control limits, the number of unsatisfied patients has been Enter your answer in each of the answer boxes.

The Nielson Home Technology Report provided information about home technology and cell phone usage. The following data are the hours of daily cell phone usage for a random sample of college students. Hours of Relative Usage Frequency Frequency 0.0-> 2.9 5 3.0- 5.9 28 6.0- 8.9 8 9.0-> 11.9 6 12.0- 14.9 3 Find the relative frequency of college students who use their cell phone between 12.0 and 14.9 hours. a.0.30 b.0.12 Oc. 0.06 d.0.03

The researcher believes that happy workers are more productive workers. So he administers a job satisfaction scale to 100 randomly selected workers at his company. He also gets measures of their work productivity from the HR department (number of customers served). What is the researcher’s alternative hypothesis? a. There will be a difference between job satisfaction and worker productivity. b. The correlation between job satisfaction and worker productivity will be greater than zero. c. The most satisfied workers will be less likely to leave the company. d. There will be no relationship between job satisfaction and worker productivity.

Which of the following statements is not correct for both prospective and retrospective cohort studies? A. They avoid bias that might occur if measurement of exposure is made after the outcome of interest is known. B. They allow assessment of possible associations between exposure and many diseases. C. They allow investigators to decide beforehand what data to collect. D. They measure incidence of disease directly