What variables do Teczar find have the most significant controlled associations with women in national parliaments?
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What variables do Teczar find have the most significant controlled associations with women in national parliaments?
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- 4. Aresearcher wants to know if there is relationship between driver's age and the number of accidents he or she had last year. (HO): (Ha): Hypothesis test: 5. Ateacher wants to know if there is significant difference in the academic performance between male and female students enrolled in Statistics. (HO): (Ha): Hypothesis test: I SAMSUNGWhat statistical tool should be used when you want to compare 4 refrigerators to know if there is a significant differences among them in terms of: 1. Energy efficiency factor (EEF) = volume cooled (L) / energy consumption (kWh/24h) 2. Energy consumption (kWh/24h) 3. Rated power input (W) 4. Price ($) Example data: EEF Energy consumtion (kWh/24h) Rated power input (HP) Price Ref 1 254 1.00 0.0952 20,239.56 Ref 2 431 0.51 0.0738 17,495.00 Ref 3 260 1.09 0.1408 18,700.00 Ref 4 260 1.17 0.1408 22,100.00Suppose the change in price from 2012 to 2013 for 10 houses in Toronto ismeasured (in percent) for a study to determine the possibility of a financial bubble in the real estatemarket. The change, in percent, for a sample of 10 houses was recorded as:0, 5, -10, -15, 10, 20, 15, -10, -5, and -10.a) For this experiment, what is the variable of interest and the statistical population?b) What is the median change in price for the sample.c) Find the sample mean and the sample standard deviation.d) Find the quartiles of the sample and the z-score of the percentage price change equal to 12 (forstandard deviation use 12).e) Draw a boxplot and determine if there is any outlier.
- 4. Which of the following factors has the highest positive correlation with life expectancy in some countries in Asia? Why do you think this factor has the highest correlation with life expectancy? Use the data below. World Happiness Report 2016 (Cantril Ladder (0=worst; 10=best))*** Vegetable supply Life expectancy (years)* Average annual hours worked by each person** per person Country (kilograms per year)**** Cambodia 69.3 103.0 4.6 30.3 Hong Kong 84.5 91.0 5.4 129.9 India 69.2 89.0 4.0 79.9 Japan Myanmar Philippines South Korea Sri Lanka 84.3 73.0 5.9 91.1 66.6 102.0 4.2 82.8 71.0 90.0 5.6 62.6 82.6 86.0 5.9 197.1 76.6 81.0 4.3 49.8 Taiwan 80.1 83.0 6.4 117.8 Thailand 76.7 91.0 5.9 39.9 Turkey 77.2 77.0 5.6 254.1 Vietnam 75.2 91.0 5.2 170.5Please report the covariance and correlation coefficient of stock TATA and BIRLA5. The following table was presented in an article summarizing a study to compare a new drug to a standard drug and to a placebo. Standard Drug 44.9 (5.1) Characteristic* New Drug Placebo Age, years 45.2 (4.8) 42.8 (4.3) 0.5746 % Female 51% 55% 57% 0.1635 Annual Income, $000s 59.5 (14.3) 63.8 (16.9) 58.2 (13.6) 0.4635 % with Insurance 87% 65% 82% 0.0352 Disease Stage 0.0261 35% 18% 33% Stage I Stage II Stage III *Table entries and Mean (SD) or % 42% 37% 47% 23% 51% 20% a) Are there any statistically significant differences in the characteristics shown among the treatments? Justify your answer.
- 4. In a study to estimate the proportion of residents in a certain city and its suburbs who favor the construction of a nuclear power plant, it is found that 63 of 100 urban residents favor the construction while only 59 of 125 suburban residents are in favor. Is there a significant difference between the proportions of urban and,suburban residents who favor construction of the nuclear plant? Use 0.01 level of significanceWith the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). The researcher only includes programs with comparable types of services. A sample of the data is provided below. Cost (in PhP)] 3, 500 ] 3, 499 4, 099 2, 899 | 3, 800 | 1, 299 Satisfaction 8 7 7 a. Determine the least-square prediction line and plot the graph. b. Test for the significance of the regression coefficient (value of b) at 2% level of significance and interpret the results. c. Construct an ANOVA Table for the linear regression.a) Determine the values of * and **. b) Give the unbiased point estimate for the average monthly earning from Hyundai Vehicles. c) Give the unbiased point estimate for the variance of monthly earning from Hyundai Vehicles.