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Find Area of the base, the lateral area and slant height. No picture given
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Explanation & Answer
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base is square so so base edges are equal...
then base area=30*30
=900 in^2
latareal area=totel area-base area
=1920-900
=1020 in^2
lateral area=4*1/2*base*salnt hight
1020=4*1/2*30*h
h=1020/60
h=17 in
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Each variable is a column (one column for the explanatory variable eye
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To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
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To recall how to complete these tasks, see the list of StatCrunch
directions below.
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for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
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ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
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Read Chapter 8 in the "Thinking Critically to Solve Problems" supplemental book. Choose to answer one of the two questions ...
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tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
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Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
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