Dairy Products and Muscle The following two headlines concern the same topic. Which one has language that suggests a cause-and-effect relationship, and which does not?
Headline A: “Dairy Builds Muscle”
Headline B: “People Who Consume More Dairy Products Tend to Have More Muscle”
Determine which of the given headlines suggest the cause and effect relationship and which does not.
Answer to Problem 1SE
The headline A suggests the cause and effect relationship and the headline B doesn’t.
Explanation of Solution
The given two headlines are,
Headline A: ‘Dairy Builds Muscle’.
Headline B: ‘People Who Consume More Products Tend to Have More Muscle’.
Headline A says that consuming dairy products will result in building muscles that means there is a cause and effect relationship between dairy products and building muscles. Whereas, headline B says that there is a positive correlation between consumption of dairy products and building muscles that means, if someone consumes more dairy products, he/she tends to build more muscles, but the statement does not say anything about causation.
Thus, headline A has the language that suggests the cause and effect relationship, but headline B does not.
Want to see more full solutions like this?
Chapter 12 Solutions
Introductory Statistics (2nd Edition)
Additional Math Textbook Solutions
Statistics for Engineers and Scientists
STATS:DATA+MODELS-W/DVD
Probability and Statistics for Engineering and the Sciences
Elementary Statistics: Picturing the World (7th Edition)
APPLIED STAT.IN BUS.+ECONOMICS
Statistics for Business & Economics, Revised (MindTap Course List)
- Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.arrow_forwardHi, can I get some help with selecting the individuals and variables in this study?arrow_forwardNo treatment Treatment Male 8 3 Overall M = 5.5 Female 4 4 Overall M = 4 Overall M = 6 Overall M = 3.5 Which of the following statements is TRUE: A.There is a main effect of gender, and a main effect of treatment B.There is a main effect of gender, but no main effect of treatment C.There is a main effect of treatment, but no main effect of genderarrow_forward
- The researcher receives funding to also study disease Y and finds the following: disease Y death rate per 100,000 for ME is 72 and for NE is 45. Which of the following is the true statement? The researcher receives funding to also study disease Y and finds the following: disease Y death rate per 100,000 for ME is 72 and for NE is 45. Which of the following is the true statement? Meat - eating seems to be more causally related to Disease Y than Disease The etiologic fraction ( attributable fraction) of Disease Y is 1.6 The population etiologic fraction (population attributable fraction) of Disease Y is 67%. None of the abovearrow_forwardA consultant has made two statements about data:1. to be useful, data must be processed in order to become information2. qualitative data about attributes can be analysed statistically if number can be ascribed to aspects of the data are these statement accurate?A. only statement 1 is accurateB. only statement 2 is accurate C. both statements are accurateD. neither statement is accuratearrow_forward1. What are the variables under study?2. From the information given, comment on the relationship between variablesarrow_forward
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL