Two students in a math class compared their scores on a series of five quizzes: Student Student А B 4 6 9 5 3 7 8 5 6 Considering the concepts of both central tendency and variability, discuss (a) which student tended to perform better on the quizzes (b) which student tended to perform more consistently on quizzes

An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…

A study was conducted about the safety and privacy of teens online presence.  A random sample of 593 teenagers were asked if they felt that they were easy to find online from their Facebook profiles.  Sixty-two girls of 325 teen girls with profiles say that they are easy to find, while 75 boys of 268 teen boys with profiles say the same.  Is there evidence of a real difference between boys and girls?

A science project involves testing the effects of different types of music on plant growth.  A sample of 24 newly sprouted bean plants is obtained.  The plants are randomly assigned to each experimental condition (6 per group). The experimental conditions are:  rock music, heavy metal, country, and classical.  The dependent variable is the height of each plant after 2 weeks.    The ANOVA results are summarized as follows: MSB = 10 and SSW =40. Construct a summary table for this study

A bank conducts a survey in which it randomly samples 400 of its customers. The survey asks the customers which way they use the bank the most: (1) interacting with a teller at the bank, (2) using ATM's or (3) using the bank's online banking service. It also asks their level of satisfaction with the service they most often use (on a scale of 0-10 with 0= very poor and 10=excellent). Does mean satisfaction differ according to how they most use the bank?  a) Identifying notation, state the null hypothesis and alternative hypothesis for conducting an ANOVA with data from the survey.  b) Report the df values for this ANOVA. Above what F statistic values give a P=value below 0.05? c) For the data, F=0.46 and the P-value equals 0.63. what can you conclude?  d)What were the assumptions on which the ANOVA was based? Which assumption is the most important?  e) based on answer C, do you think it is necessary to conduct Tukey's multiple comparisons? Why or why not?

You also conducted a review of the research literature and found that similar studies examining the relationship between alcohol consumption and liver cancer found the following: Smithson et al. RR 3.3 (95% CI:1.95-5.20)  Ribera et al. RR 2.1 (95% CI:1.17-3.33)  Gonzalez et al. RR 2.75 (95% CI 2.26-3.45) Which one of Hill’s criteria does this illustrate? Explain.

Fifty-four wild bears were​ anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest​ sizes? When measuring an anesthetized​ bear, is it easier to measure chest size than​ weight? If​ so, does it appear that a measured chest size can be used to predict the​ weight? Use a significance level of α=0.05. Correlation Results Correlation​ coeff, r: 0.955111 Critical​ r: ±0.2680855 ​P-value (two​ tailed): 0.000         Determine the null and alternative hypotheses.   H0​: ρ less than< not equals≠ less than< greater than> equals= nothing H1​: ρ