Question

In: Statistics and Probability

What is descriptive statistics? What is inferential statistics? Why do we care about the level of...

What is descriptive statistics?

What is inferential statistics?

Why do we care about the level of measurement of a variable?

Why do we use n-1 rather than n in calculating sample variance?

What are confounding variables, and what effect do they have on assessing cause-and-effect relationships?

When would you prefer median to mean as a measure of central tendency?

Why don’t we just sum the deviations from the mean to measure dispersion of a variable?

When is it legitimate to use the empirical rule?

How would you go about identifying outliers in your data?

What would you do if you found an outlier?

What is accomplished by randomization in an experiment?

Describe the scatterplot and regression line that would correspond to a correlation coefficient of 0.9.

What is r 2 and what is the logic behind the measure?

What do y and yˆ represent in regression analysis?

What is meant by sampling bias, nonresponse bias, and response bias?

what is a ‘double-blind’ study?

What is the placebo effect?

Expert Solution

(1) Descriptive statistics describe the basic features of data in a study, as given by 4 types:

(i) Measures of Frequency

(ii) Meansures of Central Tendency

(iii) Measures of Dispersion

(iv) Measures of position

(2) Inferential statistics uses a random sample of data taken from a population to make inferences about the population. With inferential statistics, we make generisation from sample statistics regarding the corresponding population parameters.

(3) Level of measurement of a variable gives the scale of measurement of a variable describing the nature of information within the values assigned to variables with 4 levels of measurement:
(i) Nominal

(ii) ordinal

(iii) interval

(iv) ratio

(4)

We use n -1 rather than n in calculating standard variance in order to get unbiased estimate of the population variance.

By Theorm:

gives the biased estimate of population variance .

With Bessel's correction:

gives unbiased estimate of population variance .

AS PER DIRECTIONS FOR ANSWERING, FIRST 4 QUESTIONS ARE ANSWERED.

orchestra answered 2 years ago

what is the difference between descriptive and inferential statistics? Think about the statistics behind a credit...

what is the difference between descriptive and inferential statistics? Think about the statistics behind a credit score - is that descriptive or inferential?

Describe the difference between inferential and descriptive statistics. 2. Why don’t we just measure populations? Why...

Describe the difference between inferential and descriptive statistics. 2. Why don’t we just measure populations? Why do we use samples to infer about populations? 3. Ten people were asked how many siblings they have. Below is the data: 2, 4, 1, 2, 1, 3, 5, 0, 1, 3, 0 4. Create a frequency distribution table. 5. Add on a cumulative frequency column and compute the cumulative frequencies. 6. Add on a relative frequency column and compute the relative frequencies.

Share what you learned about descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data;...

Share what you learned about descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data; include something that you learned that was interesting to you and your thoughts on why data analysis is necessary for discovering credible findings for nursing. Compare clinical significance and statistical significance; include which one is more meaningful to you when considering application of findings to nursing practice.

give examples of descriptive and inferential statistics in healthcare

List three types of descriptive -statistics- commonly used in research. Why do we use descriptive statistics...

List three types of descriptive -statistics- commonly used in research. Why do we use descriptive statistics in both descriptive methods research and experimental methods research? Why are descriptive statistics so important in quantitative research? Could we do quantitative experimental research without descriptive statistics? If so or not, why or how? What are your thoughts given what we are learning?

Explain, in detail, the difference between descriptive and inferential statistics utilizing several examples. What purpose do...

Explain, in detail, the difference between descriptive and inferential statistics utilizing several examples. What purpose do they serve? How are they different? How are they complimentary?

Match the terms with their definitions. Paired sample T test, Inferential statistics, descriptive statistics, Non-parametic inferential...

Match the terms with their definitions. Paired sample T test, Inferential statistics, descriptive statistics, Non-parametic inferential statistical procedures, Chi-square, Correlation, Independant-samples T test, Parametric inferential statistical procedures 1) This parametric statistical procedure is used when you have a dependent variable that is interval (1, 2, 3, 4, .....and so on), and an independent variable that is dichotomous (1=yes, 2=no for example). This tests compares the means (averages) of two samples and tells you if there are statistically significant differences between...

Classify the following descriptions as either Inferential statistics or descriptive statistics. Enter I if it is...

Classify the following descriptions as either Inferential statistics or descriptive statistics. Enter I if it is inferential statistics. Enter D if it is descriptive statistics. The average age of the students enrolled in Statistics last semester was 29.7 years old. There is a relationship between attending class and the grade you receive in the class. Based on a random sample, it was concluded that the average cost of a hotel room in Chicago was greater than one in Atlanta. A...

What is descriptive statistics and why is it important?

Question 6 What is the difference between descriptive and inferential statistics? Provide an example to each....

Question 6 What is the difference between descriptive and inferential statistics? Provide an example to each. Refer to Week 9 lecture slides and recordings for further information (Must provide 2 references, there should be at least one academic reference and one non-academic). (At least 200 words).