Related questions
- Which of the following correctly describes the nature of discrete quantitative variables?
- They are characteristics possessed by persons or objects, called elementary units, in which we are interested.
- They can assume values only at specific points on a scale of values, with inevitable gaps between successive observations.
- When dealing with such variables, we can count all possible observations and, with some exceptions, that count leads to a finite result.
- both (a) and (c)
- all of these
- Identify the following quantitative variables as discrete or continuous.
(a) population in a particular area of Canada
- i) discrete
- ii) continuous
(b) weight of newspapers recovered for recycling on a single day
- i) discrete
- ii) continuous
(c) time to complete a sociology exam
- i) discrete
- ii) continuous
(d) number of consumers in a poll of 1000 who consider nutritional labeling on food products to be important
- i) discrete
- ii) continuous
(e) number of repetitions a powerlifter does on a bench press
- i) discrete
- ii) continuous
1) Identify each variable as quantitative or qualitative.
(a) amount of time it takes to assemble a simple puzzle
- i) quantitative
- ii) qualitative
(b) number of students in a grade 1 classroom
- i) quantitative
- ii) qualitative
(c) rating of a newly elected politician (excellent, good, fair, poor)
- i) quantitative
- ii) qualitative
(d) province or territory in which a person lives
- i) quantitative
- ii) qualitative
(e) the number that lands on a dice roll
- i) quantitative
- ii) qualitative
1) Which of the following is the best type of chart for comparing two sets of qualitative data?
- a) a dotplot
- b) a stem and leaf plot
- c) a bar chart
- d) a line chart
1) Which of the following choices is a statement obtained by applying
- a) Dog B runs faster than dog C.
- b) One dog runs at 42 km/h.
- c) Dogs A and C run at the same speed.
- d) The average running speed of the four dogs is 28 km/h.
to generate a solution
a solution
- Match the following concepts to their definitions.arrow_forward3. The following box plots show the distribution of test scores in Ms. Williams's two sections of calculus A period С peпod 50 60 70 80 90 100 score Based on these box plots, which one of the f'ollowing statements must be true? A The first quartile for the two sections is the same B The lowest score in A period was close to the 15th percentile of the C period class C The mean score for students in C period was higher than the mean score for students in A periodarrow_forward(a)arrow_forward
- I have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent...arrow_forward20arrow_forward(Topic 1) A random sample of Champlain College students has a mean GPA of 3.01 points. From this, I conclude that I am 95% confident that the mean GPA of Champlain College students is between 2.66 and 3.36 points. In this example, identify each of the following parts. (a) Population (in words): (b) Parameter (in words): (c) Sample (in words): (d) Descriptive Statistic (as a value): (e) Inferential Statistic (as a value):arrow_forward
- High Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before After 1 296 218 2 289 214 3 280 180 4 295 205 5 281 168 6 281 201 7 283 170 8 285 182 Send data to Excel Part: 0 / 2 0 of 2 Parts Complete Part 1 of 2 (a) Use a calculator to construct a 90% confidence interval for the mean reduction in cholesterol level. Round your answers to at least one decimal place. The confidence interval for the mean reduction in cholesterol level is , .arrow_forward5. (10) A recent Gallup Organization Poll asked male and female Americans whether they were pro or pro choice when it comes to abortion issues. The results of the survey are as follows: life Opinion Pro-Life Pro-Choice Gender Men 195 200 Women 240 250 Test whether an individual's opinion regarding abortion is independent of gender at the a = 0.025 level of significance.arrow_forwardThe chi-square test is appropriate for use when: you have data from two numerical variables. you have the dependent and independent variables need to be measured on an interval or ratio scale. you have data from two categorial variables. you have one categorical independent variable and one numerical scaled dependent variable.arrow_forward
- How do I Compute Pearson’s r for the following set of data: Subject Age x Glucose Level y 1 43 99 2 21 65 3 25 79 4 42 75 5 57 87 6 59 81arrow_forward1. SUGAR Listed below are measured weights (mg) of sugar in Domino packets labelled as containing 3500 mg (or 3.5 g). Are the data qualitative or quantitative? What is the level of measurement of the data (nominal, ordinal, interval, or ratio)? Before any rounding, are the weights discrete or continuous? Given that the weights are from Domino sugar packets selected from a much larger population, are the weights a sample or a population? If we calculate the mean of the listed values, is the result a statistic or a parameter? 3511 3516 3521 3531 3532 3545 3583 3588 3590 3617 3621 3635 3638 3643 3645 3647 3666 3673 3678 3723 2. FREQUENCY DISTRIBUTION Using the data from Exercise 1, construct a frequency distribution using a class width of 50 mg and a first class with a lower class limit of 3500 mg. 3. HISTOGRAM Use the frequency distribution from Exercise 2 to construct a histogram. Use class midpoint values for the horizontal scale.arrow_forward
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