Question 9 A sample of 5 000 Johannesburg households is selected and sev statement that is correct. The variable [1] socio-economic status (recorded as low, middle or high), pr- [2] number of people living in a household, produces discrete q (3] weights of the occupants of the households, produces contin [4] primary language spoken, produces discrete quantitative da

Question 9 A sample of 5 000 Johannesburg households is selected and sev statement that is correct. The variable [1] socio-economic status (recorded as low, middle or high), pr- [2] number of people living in a household, produces discrete q (3] weights of the occupants of the households, produces contin [4] primary language spoken, produces discrete quantitative da

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question 9 You are reviewing the nutrition values of different snack bars for health class. A summary of calculations for the 10 snack bars is shown below. Mean: 133 Median:140 Range: 125 IQR: 60 A new kind of snack bar was just advertised. You decide to in- clude the information for the new snack bar to your data set. Below is the new summary for the nutrition data of all 11 snack bars:
Suppose a two-way Chi-square test is used to evaluate the relationship between two variables. If both variables have 4 categories or 'items', the number of degrees of freedom (df) for the Chi-square test would be:A. 8B. 7C. 4D. 9 In a two-way Chi-square situation, you are trying to determine if there is a significant relationship between two variables that represent the nominal and/or ordinal scale of measurement.A. TrueB. False What is stated by the null hypothesis in a two-way Chi-square test? A. The two variables have a curvilinear relationshipB. The two variables have very different frequency distributionsC. There is a significant relationship between the two variablesD. There is no significant relationship between the two variables
Q. 3 We are given the following data for a city: Population of the city on March 30, 2020 = 183,000 Number of new active cases of TB occurring between January 1 and June 30, 2020 26 Number of active TB cases according to the city register on January 1, 2020 = 264 Find the (i) Cumulative incidence of active cases of TB for the 6-month period3; (ii) Prevalence of active TB as of June 30, 2020.
Resting Pulse: earlier this semester we determined our resting pulse. Seventy-nine individuals participated in this data collection. The mean heart rate for all individuals was 65.34 beats per minute. A random sample of 30 heart rates having a mean of 64.97 beats per minute is presented here. Build a frequency table of these data containing six (6) classes with the lower llimit of the second class at 54 beats per minute. Build a chart appropriate for the presentation of these data. Data: 49, 51, 53, 56, 57, 58, 60 , 60, 62, 62, 62, 64, 64 65, 65 , 65, 67, 68, 68, 68, 69, 70 , 70, 72, 72, 72, 72, 75, 75 , 78,
I need help making a relative frequency histogram from this data.
10) The top point in the scatter plot (6.5, 1459) is for Washington, DC. Find the predicted DC violent crime rate if x=6.5. Then find the residual for DC using the predicted violence crime rate and the actual violent crime rate (the actual crime rate is provided in the first sentence of this question). Prediction = Actual y-value = Residual =
THIS IS ENGINEERING DATA ANALYSIS 1. Given the following: c = 5, x1 = 7, x2 = 8, x3 = 10, x4 = 11, x5 =13, y1 = 5, y2 = 7, y3 = 9, y4 = 11, y5 = 13.Evaluate the following:
QUESTION 2 An environmentalist wanted to determine if the mean acidity of rain differed among Ipoh, Johor Bahru and Kuantan. He randomly selected six rain dates at each city and obtained the following data: Table 2 Ipoh 5.10 5.00 4.91 5.12 4.78 5.20 Johor Bahru 4.80 4.15 4.42 4.65 4.87 4.10 Kuantan 5.45 6.23 5.55 5.10 5.42 5.25 Answer the following questions without using any output from any software. a) Construct a complete Analysis of Variance table. b) At <= 0.05, test whether the mean acidity of rain is different among the three cities. c) Based on the answer in (a) and (b), write a brief conclusion on the mean acidity of rain among Ipoh, Johor Bahru and Kuantan.
Listed below are pulse rates (beats per minute) from samples of adult males and females. Does there appear to be adifference? Find the coefficient of variation for each of the two samples; then compare the variation. A. The coefficient of variation for the male pulse rates iS (Type an integer or decimal rounded to one decimal place as needed.) B. The coefficient of variation for the female pulse rates is (Type an integer or decimal rounded to one decimal place as needed.)
question 26
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…