Which of the following displays can be used to describe two quantitative variables?
: A) contingency table B) scatterplot C) side-by-side bar graph D) histogram E) all of these
If both variable are quantitative, we have a numerical value on both x and y axes. The best display that can be used to describe such variables is B) scatterplot
Note: A contingency table usually have both qualitative variables. A bar graph will have one quantitative and 1 categorical variable. A histogram can be used if both variables are quantitative, but is not suitable for all quantitative variables, whereas a scatterplot can be used for all quantitative variables.
Which of the following displays can be used to describe two quantitative variables? : A) contingency...
b) which of the following isfare) not appropriate for studying the relationshjp between two quantitative variables? (Select all that apply) Bar graph Correlation r O Scatterplot Side-by-side boxplot
a. An emergency room documents the reason for the emergency room visit (broken bone, needs stiches, etc.) What type of variable was data collected for? quantitative-discrete qualitative quantitative continuous Which graph would be appropriate for this type of data? side-by-side bar chart histogram scatterplot bar chart b. A women's clinic looks at files and records whether or not the patient has gotten a mammogram in the last year and ethnicity What type of variable(s) was data collected for? quantitative-continuous qualitative...
6. Which of the following lists only quantitative variables? Favorite color, weight, SAT score a. b. Height, zip code, weight GPA, weight, SAT score dolic bod pue c. 7. Which graphical summary is used to visualize quantitative data? a. Histogram b. Boxplot c. Bar chart d. Stem-and-leaf Suppose that you are interested in studying the weight of tires manufactured in a given day. You take a random sample of 25, and find the average weight is 20 pounds Which of...
The variables considered in a chi-squared test used to evaluate a contingency table A. have small standard deviations. B. can be averaged. C. are normally distributed. D. have rounding errors. E. are categorical.
For each of the following variables, identify an appropriate graph or chart that could be used. (1) Fuel economy (miles per gallon) of a used car (II) Temperature (in Fahrenheit) of an office building 1) (1) Bar graph , and (11) Pie chart 2) (1) Pie chart, and (11) Pie chart 3) (1) Bar graph , and (II) Histogram 4) (1) Histogram , and (II) Bar graph 5) (1) Boxplot, and (II) Boxplot ho For each of the following variables,...
For each of the following variables, identify an appropriate graph or chart that could be used. (I) Duration (in minutes) of flight between two locations (II) Completion status of construction project (e.g. phase I, phase II, phase III) Question 1 options: 1) (I) Boxplot , and (II) Boxplot 2) (I) Pie chart , and (II) Stem-and-leaf display 3) (I) Bar graph , and (II) Stem-and-leaf display 4) (I) Pie chart , and (II) Bar graph 5) (I) Histogram , and...
(0) There are two types of variables-quantitative and qualitative. (11) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the observations from each category (iii) Quantitative variables can be further divided into discrete and continuous variables. Multiple Choice 16 and are all correct statements C D and are correct statements but not and are correct statehent but not here to search
Which statement is NOT true? A. Not only quantitative variables have a mode B. The arithmetic mean can be calculated from any variables. C. The median can always be determined from quantitative variables
Consider the following contingency table with ordinal variables VariableA | A1 | A2| A3 Variable B120 40 15 BB2 40 30 12 B3 70 90 33 АЗ a- b- c- Test the hypothesis of independence using the Pearson correlation statistic. Calculate the number of concordant and discordant pairs Calculate the Gamma measure and the Somer's d measure. Consider the following contingency table with ordinal variables VariableA | A1 | A2| A3 Variable B120 40 15 BB2 40 30 12 B3...
Can someone point out the right answer please? Which of the following displays would allow you to see both the shape of a distribution and the raw scores of that distribution at the same time? A histogram that uses intervals A frequency table A grouped frequency table A stem-and-leaf plot