Question

In: Statistics and Probability

QUESTION 7 Which of the following measures the degree of linear association between two variables? a....

QUESTION 7

Which of the following measures the degree of linear association between two variables?

a. covariance. b. standard deviation. c. variance. d. coefficient of variation

QUESTION 8

If the sample size becomes larger, to which distribution does the sampling distribution of the sample mean converge?

a. Normal distribution. b. Poisson distribution. c. Binomial distribution. d. Uniform distribution.

QUESTION 9

Which of the following means an estimate of a population parameter that provides an interval of values believed to contain the value of the parameter?

a. Point estimate. b. Interval estimate. c. Standard error. d. Sample mean.

QUESTION 10

In hypothesis testing, which of the following means the tentative assumption about the population parameter?

a. Confidence level. b. Alternative hypothesis. c. Null hypothesis. d. Significance level.

Solutions

Expert Solution

SOLUTION 7

Which of the following measures the degree of linear association between two variables?

a. covariance

It enables us to find the degree of linear association between two variables. Further used in the calculation of correlation coefficient

QUESTION 8

If the sample size becomes larger, to which distribution does the sampling distribution of the sample mean converge?

a. Normal distribution.

According to the Central limit theorem as the sample size becomes larger the distribution of the sample mean converges to the normal distribution.

QUESTION 9

Which of the following means an estimate of a population parameter that provides an interval of values believed to contain the value of the parameter?

b. Interval estimate.

QUESTION 10

In hypothesis testing, which of the following means the tentative assumption about the population parameter?

c. Null hypothesis

Please let me know in comments in case anything is unclear. Will reply ASAP. Do upvote if satisfied!

orchestra answered 1 year ago
Next > < Previous

Related Solutions

When is it inappropriate to use linear regression for measuring the association between two variables?
When is it inappropriate to use linear regression for measuring the association between two variables?
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
correlation measures the degree to which two variables are related to one another. Here are the...
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
True or Flase Which of the statements is true? a. Observing an association between two variables...
True or Flase Which of the statements is true? a. Observing an association between two variables automatically means that there is a cause and effect relationship. b. The fact that there is a strong association between smoking and lung cancer shows that smoking actually causes lung cancer. c. The best way to make a case for causation is to do a good experiment. d. A strong observed association is due to direct cause-and-effect, never the effects of a lurking variable....
In this question, we will formulate a measure to quantify the level of association between the two categorical variables.
  In this question, we will formulate a measure to quantify the level of association between the two categorical variables. Such a measure is often used in a statistical test called Chi-square test for assessing whether there is an association between two categorical variables. This question is also used to motivate the learning of independence and to connect the concept back to what we have learnt in the course.Let's revisit the example we have looked at in the course. How...
Information about an association between two interval-ratio variables is presented below. The association is between “the...
Information about an association between two interval-ratio variables is presented below. The association is between “the hours of screen time per day” (Y) and “years of schooling” (X). A measure of the overall association is given as well as the specific components of the OLS model. The OLS model estimates the effect of education (X) on the hours of screen time per day (Y). Association Between x and y Estimate r    -0.229 Rsqrd OLS Model components Estimate Constant (a)...
Pearson's r is the degree to which variables vary together in a ________________ manner Positive Linear...
Pearson's r is the degree to which variables vary together in a ________________ manner Positive Linear Random Inconsistent
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT