QUESTION 1
A researcher is studying the question of how much the average home in California cost last year. Identify the population.
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all people in California |
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all houses in California |
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all people who moved to California last year |
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All houses purchased in California last year |
15 points
QUESTION 2
A surveyor asks people whether or not they support their senator's vote on a bill. Choose the type of data that is collected.
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quantitative |
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qualitative |
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neither quantitative nor qualitative |
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Not enough information is given. |
15 points
QUESTION 3
Choose the method below that is likely to give the best sample for the following: The mayor wants to know whether people in his city support the construction of a new city hall.
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Every 10th person who enters city hall on a certain day is surveyed. |
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A random selection of city workers is surveyed. |
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A random selection of people from each neighborhood is surveyed. |
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Every person in a local boutique on a certain day is surveyed. |
15 points
QUESTION 4
Classify the following sampling method: Every 7th customer entering a shopping mall is asked to select his/her favorite store.
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quota sampling |
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stratified sampling |
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systematic sampling |
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simple random sampling |
15 points
QUESTION 5
In each case identify what type of data it is:
(A) If we record the total number of cars sold in 2010 by each of
10 car salespeople;
(B) If we record the total number of cars sold by a particular car
salesperson in 2007, 2008, 2009 and 2010.
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(A) time-series data; (B) cross-sectional data |
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(A) cross-sectional data; (B) time-series data |
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(A) discrete data; (B) time-series data |
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(A) cross-sectional data; (B) continuous data |
15 points
QUESTION 6
Statistics is the science of conducting studies to
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solve a system of equations |
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hypothesize, experiment, and form conclusions |
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collect, organize, summarize, analyze, and draw conclusions from data |
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monitor, study, and report on a subject |
15 points
QUESTION 7
Which of the following is not an example of misuse of statistics?
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Drinking protein shakes results in weight loss in some people. |
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Three out of four dentists recommend toothpaste B. |
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Naso Nasal Spray works three times faster than other nasal sprays. |
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Lossy Weight Loss Cookies have one-third the calories. |
1. all houses in California ( because information about hosue is to be collected)
2. qualitative (because data type collected is non numerical in nature)
3.A random selection of people from each neighborhood is surveyed ( collects the opinion of people from all the neighborhood)
4. systematic sampling.
5. discrete data; time-series data
6.collect, organize, summarize, analyze, and draw conclusions from data
7. Drinking protein shakes results in weight loss in some people.
QUESTION 1 A researcher is studying the question of how much the average home in California...
identify the 25 correct statements in the set below
identify 25 correct statements
Please identify the 25 correct statements in the set below: Discovery analytics focuses on the question "Why did it happen?" Predicting a presidential candidate's percentage of the statewide vote from a sample of 800 voters would be an example of inferential statistics. This year, Oxnard University produced two football All-Americans. This is an example of continuous data. Sturges' Rule is merely a suggestion, not an ironclad requirement....
1) Come up with a single (one) question or problem
2) Think of an example with 30 data points
a. This data needs to be of a quantitative variable
(numbers).
3) Then proceed to follow the below steps.
example of 30 quantitative data points
Purpose
State how, when, and where data was collected
List of raw data pairs
Frequency distribution (table)
Histogram
Relative percentage polygon
Sample mean
Sample median
Sample mode(s)
Sample range
Sample variance
Sample standard deviation
Coefficient of...
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3. What was the final sample size?
4. What were the results of the meta-analysis?
5. What is the personal critique of the meta-analysis? PLEASE
TYPE :) thank you
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The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
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