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STAT 1000 Lecture Notes - 5,6,7,8, Frequency Distribution, Crop Yield

67 views19 pages
greymanatee503
13 Mar 2014
School
University of Manitoba
Department
Statistics
Course
STAT 1000
Professor
Carrie Paquette

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Document Summary

Statistics provide the tools and ideas for using data to gain understanding of situations: We want to study the e ectiveness of a medical treatment. We would like to survey citizens to see whether they feel negatively about the restrictions of public smoking. In statistics we deal with data, a set of measurements or observations taken on a group of objects. Any set of data contains information about individuals or units in a population. A variable, is a characteristic or property of an individual or unit. We call it variable because it can only take on one, of a number of values for di erent individuals. A sample is a subset of units in a population that we examine in order to gather information about the population: The variable of interest is location (where the students study). A collection of 50 patients with lung cancer. Inmates on death row in a maximum security prison.

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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

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Related Questions

A survey in 2010 showed that college students study for a statistics exam on average for three hours and ten minutes. To determine if the average time is changed for the statistics exam data gathered from 81 students in a Midwest University. The sample showed that the average studying time for a statistics exam is two hours and fifty minutes with a standard deviation of one hour and thirty minutes. Let .

a. State the null and alternative hypothesis to be tested.

b. Identify the level of significance.

c. Identify the test statistics.

d. Determine the critical value for this test and formulate a decision rule using the critical value.

e. Compute the test statistics.

f. What do you conclude? Interpret the results.

Inalize three research questions relating to your selected dataset. Make sure the variables used in the final questions you select are of the following format:
1. Continuous response and continuous explanatory variable
2. Categorical response and categorical explanatory variable
3. Continuous response and categorical explanatory variable (note: the categorical variable must be dichotomous for this question)
Each research question should have a clear explanatory and response variable. Review, as necessary, the ‘Laerd Statistics’ reading from last week which explains data types and the difference between response variables (also referred to as dependent or outcome variables) and explanatory variables (also referred to as independent or predictor variables).
Then, in your initial post, list your three finalized research questions, indicating the variable types.
For example, using data from the Framingham Heart Study dataset, one question might be: ‘Is there a significant difference in total serum cholesterol levels [TOTCHOL] (continuous-ratio) (response) between smokers and non-smokers [CURSMOKE] (categorical-dichotomous) (explanatory)?’
In your response post to your peers, provide feedback on their finalized research questions, which will become the foundation of each student’s final project. Consider the following questions as you review your peers' research questions:
• Is each research question clearly stated?
• Does each research question relate to the dataset?
• Do the three research questions meet the data type requirements?
• Does each research question identify response and explanatory variables correctly?

I need help conducting a z-test for my assignment. The question states, "You want to determine if Canadians are nicer (less rude) than Americans. Americans 'niceness' score is µ=2.4 with a standard deviation of 1.6. You get a sample of n=36 Canadians to complete the same niceness questionnaire. You calculate descriptive statistics for your sample as M=2.9 and s=1.9. As this is exploratory research, use an alpha of .10. Conduct a z-test on the information above. Make sure to note: 1.) the formula, 2.) the null and alternative hypothesis, 3.) the critical value, 4.) calculate the result (show calculation in case of error), 5.) What is the statistical decision, 6.) What does this mean in plain english?"

Thanks for the help!