Amount ôf Temperature (°C) Tube # Digested (grams) 1. 0.5 2. 10 1.0 20 4.0 4. 37 9.5 85 0.0 Protein Digestion at Different Temperatures 20 30 50 70 2b Temperature (°C) The dependent variable is The independent variable is Amount of Protein Digested (grams)
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- INSTRUCTION: Classify the following researches based on the different types of research. NOTE: (no need for explanation) As to Quantitative Research: 1- Experimental 2- Non-Experimental A. An investigator performs research for analyzing the way temperature influence soil respiration. B. During the semester, students in a class are lectured on particular courses and an exam is administered at the end of the semester. In this case, the students are the subjects or dependent variables while the lectures are the independent variables treated on the subjects. C. A study of the school failure rates in a given year for the board exam. D. A study on the effects of alcohol on the human body. E. The Philippine presidential and vice presidential electoral polls for 2022. F. The University wants to evaluate the effectiveness OBL and CBL programs. G. How accurate are people’s first impressions?Poverty and Dietary Calcium. Calcium is the most abundant mineral in the human body and has several important functions. Recommendations for calcium are provided in Dietary Reference Intakes, developed by the Institute of Medicine of the National Academy of Sciences. The recommended adequate intake (RAI) of calcium for adults (ages 19–50) is 1000 milligrams (mg) per day. If adults with incomes below the poverty level have a mean calcium intake equal to the RAI, what percentage of all samples of 18 such adults have mean calcium intakes of at most 947.4 mg? Assume that σ = 188 mg. State any assumptions that you are making in solving this problem.Situational Problem: A study is run to evaluate the effectiveness of an exercise program in reducing systolic blood pressure in patients with pre-hypertension (defined as systolic blood pressure between 120-139 mmHg or diastolic blood pressure between 80-89 mmHg). A total of 15 patients with pre-hypertension enrolled in the study, and their systolic blood pressures were measured. Each patient then participates in an exercise training program where they learn proper techniques and execution of a series of exercises. Patients are instructed to do the exercise program three times per week for six weeks. After six weeks, systolic blood pressures are again measured. Question: What type of nonparametric test should be used to evaluate the effectiveness of an exercise program in reducing systolic blood pressure? (note: justify your answer)
- Coefficient of Linear thermal expansion (CTE) is a material property that describes the unit expansion of a material per one degree of temperature increase. The higher it is, the higher does the size of the material becomes under heat. A steel manufacturer claims that their newly-developed alloy has lesser thermal unit expansion than the common steel used in the market. 20 samples of the newly-developed alloy were tested, while 17 samples of common steel were tested under the same conditions. The average coefficient of the newly-developed alloy is 11.13 with a standard deviation of 3.2, while the average coefficient of common steel is 12.98 with a standard deviation of 4.1. Using a 0.05 level of significance, is the CTE of the newly-developed alloy significantly different from the common steel? Assume equal variances. What is the statistic/type of hypothesis testing to be used in this problem?What is the null and alternative hypothesisWhat are the significance level and the type of…Coefficient of Linear thermal expansion (CTE) is a material property that describes the unit expansion of a material per one degree of temperature increase. The higher it is, the higher does the size of the material becomes under heat. A steel manufacturer claims that their newly-developed alloy has lesser thermal unit expansion than the common steel used in the market. 20 samples of the newly-developed alloy were tested, while 17 samples of common steel were tested under the same conditions. The average coefficient of the newly-developed alloy is 11.13 with a standard deviation of 3.2, while the average coefficient of common steel is 12.98 with a standard deviation of 4.1. Using a 0.05 level of significance, is the CTE of the newly-developed alloy significantly different from the common steel? Assume equal variances.Coefficient of Linear thermal expansion (CTE) is a material property that describes the unit expansion of a material per one degree of temperature increase. The higher it is, the higher does the size of the material becomes under heat. A steel manufacturer claims that their newly-developed alloy has lesser thermal unit expansion than the common steel used in the market. 20 samples of the newly-developed alloy were tested, while 17 samples of common steel were tested under the same conditions. The average coefficient of the newly-developed alloy is 11.13 with a standard deviation of 3.2, while the average coefficient of common steel is 12.98 with a standard deviation of 4.1. Using a 0.05 level of significance, is the CTE of the newly-developed alloy significantly different from the common steel? Assume equal variances. a.What is the statistic/type of hypothesis testing to be used in this problem? b.What is the null and alternative hypothesis? c. What are the significance level and the…
- Coefficient of Linear thermal expansion (CTE) is a material property that describes the unit expansion of a material per one degree of temperature increase. The higher it is, the higher does the size of the material becomes under heat. A steel manufacturer claims that their newly-developed alloy has lesser thermal unit expansion than the common steel used in the market. 20 samples of the newly-developed alloy were tested, while 17 samples of common steel were tested under the same conditions. The average coefficient of the newly-developed alloy is 11.13 with a standard deviation of 3.2, while the average coefficient of common steel is 12.98 with a standard deviation of 4.1. Using a 0.05 level of significance, is the CTE of the newly-developed alloy significantly different from the common steel? Assume equal variances.a. What is the statistic/type of hypothesis testing to be used in this problem?(Two Sample Z Test / Two Sample Pooled Variance t Test / Two Sample Separate Variance t…Coefficient of Linear thermal expansion (CTE) is a material property that describes the unit expansion of a material per one degree of temperature increase. The higher it is, the higher does the size of the material becomes under heat. A steel manufacturer claims that their newly-developed alloy has lesser thermal unit expansion than the common steel used in the market. 20 samples of the newly-developed alloy were tested, while 17 samples of common steel were tested under the same conditions. The average coefficient of the newly-developed alloy is 11.13 with a standard deviation of 3.2, while the average coefficient of common steel is 12.98 with a standard deviation of 4.1. Using a 0.05 level of significance, is the CTE of the newly-developed alloy significantly different from the common steel? Assume equal variances.a. What is the statistic/type of hypothesis testing to be used in this problem?b. What is the null and alternative hypothesis?c. What are the significance level and the…1) Identify the type and level of data the the variable of "Salary" a. Quanlitative, Nominal b. Quanlitative, Ordinal c. Quantitative, Continuous, Interval d. Quantitative, Coutinous, Ratio e. Quantitative, Discrete, Interval f. Quantitative, Discrete, Ratio 2) Identify the type and level of data the the variable of "NumEmpl" a. Quanlitative, Nominal b. Quanlitative, Ordinal c. Quantitative, Continuous, Interval d. Quantitative, Coutinous, Ratio e. Quantitative, Discrete, Interval f. Quantitative, Discrete, Ratio 3) Identify the type and level of data the the variable of "Margin" a. Quanlitative, Nominal b. Quanlitative, Ordinal c. Quantitative, Continuous, Interval d. Quantitative, Coutinous, Ratio e. Quantitative, Discrete, Interval f. Quantitative, Discrete, Ratio
- [Econometrics] The World Bank hires you to analyze the effect of the introduction of new irrigation systems in a series of Sub-Saharan African countries. They are particularly interested on their effect in the crop production of each country. They give you data for each country on the kilometers of irrigation tubes constructed, the total crop harvest, as well as information on the average educational attainment for each year between 2000 and 2017. Which type of analysis would you perform based on this information?learning features of experimental research from my research methods course Under what circumstances could an independent variable in one study be a dependent variable in another study? What would be an example of this?Direction:: Formulate a null and an alternative hypothesis for each of the following. 1. Sleep Deprivation and Academic Performance of Senior High School Students Null hypothesis: ________________________________ Alternative hypothesis: ________________________________ 2. Relationship between Academic Stressors and Learning Preferences of Senior High School Students Null hypothesis: ________________________________ Alternative hypothesis: ________________________________
