Answered: explain the importance of the…

explain the importance of the Hypothesis test in a business setting, and give an example of a situation where it is helpful in business decision making.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter6: Ratio, Proportion, And Probability

Section: Chapter Questions

Problem 4CR

See similar textbooks

Similar questions

What term is used to express the likelihood of an event occurring? Are there restrictions on its values? If so, what are they? If not, explain.
What is an experiment? Give two examples.
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.
How does hypothesis testing help support the fields that employ the scientific method?
How does hypothesis testing help support the fields that employ the scientific method? Besides hypothesis testing, are there alternative ways to validate the research findings?
Describe how the following hypothesis is testable, refutable and positive: Married couples who regularly attend religious services have more stable relationships than a couple who do not.
A 2017 study of over half a million eighth through 12th graders found that the number exhibiting high levels of depressive symptoms increased by 33 percent between 2010 and 2015. (a) What is the population of this study? (b) What is the sample of this study? Be clear to mark part (a) and (b) in your solution.
The issue/scenario: A bio-tech firm has provided you with 1 years’ worth of sales for a sample of 45 sales staff. Some of its sales staff are engineers and others are not. You are to analyze this data to help the company determine whether there are any differences in the sales between engineers and non-engineers. Arguably, perhaps engineers are better able to answer technical questions, but may not have the same skills as others. Additionally, the company would like to use this data to obtain an estimate of its average (annual) sales and how they compare to last year. To aid you, I have provided you with the following “guiding steps”: 1)Use a bivariate tabular method to study the relationship between “Sales” and “Engineer.” Based on this analysis, are engineers better or worse than non-engineers at Sales (higher sales are considered better)? Sales Engineer 113 No 98 No 76 No 101 No 120 No 131 No 66 No 98 No 83 No 75 No 87 No 96 Yes 90 Yes 117 Yes 118…
The issue/scenario: A bio-tech firm has provided you with 1 years’ worth of sales for a sample of 45 sales staff. Some of its sales staff are engineers and others are not. You are to analyze this data to help the company determine whether there are any differences in the sales between engineers and non-engineers. Arguably, perhaps engineers are better able to answer technical questions, but may not have the same skills as others. Additionally, the company would like to use this data to obtain an estimate of its average (annual) sales and how they compare to last year. To aid you, the following “guiding steps”: Use a bivariate tabular method to study the relationship between “Sales” and “Engineer.” Based on this analysis, are engineers better or worse than non-engineers at Sales (higher sales are considered better)? Provide a statistical description of the variable “Sales” (for engineers and non-engineers combined). Use this to determine whether there is a lot of volatility in sales,…
An apps developer for Fintech has commissioned a consultant firm to understand the desired features and the perception of use. The perception of use has been collected from different workstations and from different types of users. The independent characteristic or features will affect the attractiveness of the ease of apps. A higher level of perception (ease of use) will drive higher usage and higher profitability of the Fintech eventually. The consultant perceived that the security level (independent variable) will drive better perception of use (dependent variable). The consultant will need to analyze the relationship of the security level with perception of use. A predictive regression will be used to predict the ability of security level to influence app usage. A five-point Likert scale (1 for lowest and 5 for highest) has been used to measure the intended variables. The numbers are average of different users from 30 different workplaces and environments. Data has been tabulated as…
A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Below is the data set followed by the results:
As you read about each study, (a) classify the type of research that it reflects, and (b) identify the kinds of conclusions that might reasonably be drawn from the results. During their 8th- and 11th-grade school years, students in the Ranger School District take standardized achievement tests designed to assess their language and math skills. The superintendent receives a report showing how Ranger students compare with those in many other school districts across the nation. The superintendent discusses the results with the school principals. (a) Classify the research as one of the following: Quantitative/descriptive Quantitative/correlational Quantitative/experimental Quantitative/quasi-experimental Qualitative Mixed methods, and then (b) Identify one or more conclusions that might reasonably be drawn from this study and, if relevant, one or more conclusions that cannot be drawn from the study