Stat crunch

StatCrunch Instructions: Using Technology with Data to Run a Hypothesis Test

To open this file in StatCrunch you must first right-click here and choose "Save Target As" to download the file to your computer. Next click here to open StatCrunch in a separate window and login using your username and password.

  • Click on the link "Open StatCrunch" at the top of the My StatCrunch page.
  • To open the data set select the "My computer" link under Load a data set from box on the left side of the page.
  • Select the "Browse" or "Choose File" (depending on which browser you're using and select the data set you downloaded.
  • Scroll to the bottom of the page and click on "Load Fil.e"

Choose: Stat -> T statistics -> Two sample -> with data (or with summary if summarized data)

Choose among the following three options, depending on what format the data are given in.

  • Samples in one column - enter the column where the samples are, twice and each time use the Where option to limit which values are being grouped.
  • Samples in different columns - enter the columns where the data are
  • Summarized data - enter the sample means, sample standard deviations and sample sizes of both samples
  • Press Next
  • Select appropriate form of hypothesis test
  • Press Calculate
Sours: https://s3-us-west-2.amazonaws.com/oerfiles/Concepts+in+Statistics/assignments/_u5_m2_lbd2/_u5_m2_lbd2_statcrunch0.html

StatCrunch

StatCrunch is a Web-based statistical software application from Pearson Education. StatCrunch was originally created for use in college statistics courses. As a full-featured statistics package, it is now also used for research and for other statistical analysis purposes.

History[edit]

Webster West created StatCrunch in 1997. Over the next 19 years Webster West,[1] assisted by others, added many more statistical procedures and graphing capabilities, and made user interface improvements. In 2005, Webster West received two awards[1] for StatCrunch: the CAUSEweb Resource of the Year Award and the MERLOT Classics Award.[2] In 2013, the StatCrunch Java code was rewritten in JavaScript in order to avoid Java browser security problems, and so that it would run on iOS and Android. In 2015, new ways of importing data were added, including importing multi-page data directly from Wikipedia tables and other Web sources, and also importing with drag-and-drop for various data formats.[3] In 2016, StatCrunch was acquired by Pearson Education,[4] which had already been serving as the primary distributor of StatCrunch for several years.

Software[edit]

A StatCrunch license is included with many of Pearson's statistical textbooks. Because StatCrunch is Web-based, it works on multiple platforms, including Windows, macOS, iOS, and Android.[2]

Data in StatCrunch is represented in a "data table" view, which is similar to a spreadsheet view, but unlike spreadsheets, the cells in a data table can only contain numbers or text. Formulas cannot be stored in these cells. There are many ways to import data into StatCrunch.[5] Data can be typed directly into cells in the data table. Entire blocks of data may be cut-and-pasted into the data table. Text files (.csv, .txt, etc.) and Microsoft Excel files (.xls and .xlsx) can be drag-and-dropped into the data table. Data can be pulled into StatCrunch directly from Wikipedia tables or other Web tables, including multi-page tables. Data can be loaded directly from Google Drive and Dropbox. Shared data sets saved by other StatCrunch community users can be searched for by title or keyword and opened in a data table.

Graphs, results, and reports created by StatCrunch can be shared with other users, in addition to the sharing of data sets.[6] StatCrunch has a library of data transformation functions. StatCrunch can also recode and reorganize data. All data is stored in memory, and all processing happens on the client, so response is fast, even with large data sets.

StatCrunch can interact with multiple graphs simultaneously. If a user selects a data point on one graph, then that same data point is highlighted on all other displayed graphs.[7] In addition to standard statistical and graphing procedures, StatCrunch has a collection of about forty "applets" which illustrate statistical concepts interactively.[3]

See also[edit]

References[edit]

  1. ^ abWebster West "The Impact Of Technology On The Teaching Of Statistics" Consortium for the Advancement of Undergraduate Statistics Education (2012)
  2. ^ abWebster West "StatCrunch"MERLOT (January 2017)
  3. ^ abStatCrunch release notesPearson
  4. ^"Pearson Acquires Major Statistical Software Firm, Integrated Analytics"Pearson (July 28, 2016)
  5. ^Getting started with StatCrunchPearson
  6. ^Sylvie Noël, Communications Research Centre, Canada, and Daniel Lemire, UQAM, Canada "Chapter 4, On the Challenges of Collaborative Data Processing" pages 61-62, Collaborative Information Behavior: User Engagement and Communication, IGI Global (2010)
  7. ^Interacting with GraphicsPearson

Further reading[edit]

  • Glenn Ledder, Jenna P. Carpenter, Timothy D. Comar "Undergraduate Mathematics for the Life Sciences: Models, Processes, and Directions"The Mathematical Association of America (2013)
  • Jonathan Foster "Collaborative Information Behavior: User Engagement and Communication"Information Science Reference (2010)
  • Peter C. Bruce "Introductory Statistics and Analytics: A Resampling Perspective"Wiley (2015)
  • Bert Wachsmuth "Statistics in the Classroom on Touch-based Smart Phones" The Impact of Pen and Touch Technology on Education, Part of the "Human–Computer Interaction" Series pp 289–296, Springer (2015)
  • Webster West "Social Data Analysis with StatCrunch: Potential Benefits to Statistical Education"UCLA Department of Statistics (2009)
  • Nancy Leveille et al. "A survey of no (or low) cost statistical software packages for business statistics"University of Houston-Downtown (2011)
  • Renata Phelps, Kath Fisher, Allan H Ellis "Organizing and Managing Your Research: A Practical Guide for Postgraduates", page 224, SAGE Publications Ltd (February 22, 2007)
  • Neil J. Salkind "Statistics for People Who (Think They) Hate Statistics: The Excel Edition", page 331, SAGE Publications Inc (July 21, 2006)
  • Megan Mocko, author. Dani Ben-Zvi, Katie Makar, editors "The Teaching and Learning of Statistics: International Perspectives", pp. 219, 224. Springer International Publishing (2016)
  • Bert Wachsmuth, author. Edited by Tracy Hammond, Stephanie Valentine, Aaron Adler, Mark Payton "Statistics in the Classrom on Touch-based Smart Phones" (Chapter 30) in "The Impact of Pen and Touch Technology on Education" Springer International Publishing (2015)

External links[edit]

Sours: https://en.wikipedia.org/wiki/StatCrunch
  1. Cove lighting moulding
  2. Voice of yugi
  3. Fpc test questions
  4. Xs front sight
  5. Arrow oliver and thea

StatCrunch Instructions: Hypothesis Testing for the Population Mean

To open this file in StatCrunch you must first right-click here and choose "Save Target As" to download the file to your computer. Next click here to open StatCrunch in a separate window and login using your username and password.

  • Click on the link "Open StatCrunch" at the top of the My StatCrunch page.
  • To open the data set, click on the Data button in the top row and select Load -> From file -> on my computer.
  • Under File, press the Browse button and select the data set you downloaded.
  • Scroll to the bottom of the page and click on "Load File."

Perform the t-test using StatCrunch.

If raw data are given:

  • Choose: Stat -> T Stats -> One Sample -> with data.
  • In Select column(s), choose the relevant column of sample data by double clicking on the column name.
  • In Perform, select Hypothesis test for μ.
  • Enter a null value for the population mean.
  • For the alternative hypothesis, choose from the options of not equal, less than and greater than.
  • Press Compute!

If summaries are given:

  • Choose: Stat -> T Stats -> One Sample -> With Summary.
  • Enter the sample mean, sample standard deviation and sample size.
  • In Perform, select Hypothesis test for μ.
  • Enter a null value for the population mean.
  • For the alternative hypothesis, choose from the options of not equal, less than and greater than.
  • Press Compute!
Sours: https://s3-us-west-2.amazonaws.com/oerfiles/Concepts+in+Statistics/assignments/_u5_m1_lbd15/_u5_m1_lbd15_statcrunch0.html

Statcrunch instructions (Statistics)

This webpage is designed to help out with using Statcrunch. I highly recommend using Statcrunch in this course.

I will be adding to this site as the semester goes along. If you ever feel that is lacking in an area, please let me know and I'll do my best to improve it.

Chapter 1

Statcrunch is not useful in Chapter 1

Chapter 2

Section 2.3

Scatter plot: Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Graph" and then "Scatter Plot". Select the two variables for the X variable and Y variable. Click "Compute".

Dotplot: Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Graph" and then "Dotplot". Select the variable. Click "Compute".

Stem and Leaf Plot: Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Graph" and then "Stem and Leaf". Select the variable. Click "Compute".

Chapter 3

Just about everything in this chapter can be found using the same procedure in Statcrunch.

mean, median(Q2), standard deviation, variance, minimum, Q1, Q3, maximum:Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Stat", "Summary Stats", then "Columns". Select the variable. Click "Compute".

Boxplot:Click the little box to the right of the data set and select "Open in Statcrunch". Now that Statcrunch is open, click "Graph" and then "Boxplot". Select the variable. Check the box next to "Draw boxes horizontally". Click "Compute".

Chapter 4

Statcrunch is not useful for this chapter.

Chapter 5

Section 5.2

Binomial distribution: For finding the probability of the number of successes in a certain number of trials. Open statcrunch, click "Stat", "Calculators", and "Binomial". Enter in the number of trials (n) and the probability of success (p). On the last line enter in the number of successes desired (x) and the appropriate symbol (>=, <=, or =). Click "compute".

Chapter 6 The probabilities from this chapter can be found using statcrunch but I recommend learning using table A-2 first--using the table will give you a better understanding of the concept which will be important for this chapter and future chapters.

Section 6.1

Standard normal probabilities: Open statcrunch, click "Stat", "Calculators", and "Normal". Enter in the mean (0 if you're using the standard normal distribution) and the standard deviation (1 if you're using the standard normal distribution). Enter in the Z value in question and choose the appropriate symbol (<=, >=,=). Click compute.

  • You can also find the probability between two Z values if you click the tab "Between".

Finding scores from known areas/probabilities: Example: Find the score corresponding to P90. Open statcrunch, click "Stat", "Calculators", and "Normal". Enter in the mean (0 if you're using the standard normal distribution) and the standard deviation (1 if you're using the standard normal distribution). The last line should read... P(X<=______) = 0.90. Click compute.

Section 6.2

Normal Probabilities: This is done exactly the same as section 6.2 except the mean and standard deviation has changed.

Section 6.4

Central Limit Thm. Finding the probability for a meanof a group: This is done in the same way. The only difference is that the standard deviation changes when you are dealing with a mean of a group. You enter the mean as you done in the previous sections but the standard deviation changes when dealing with a mean of a group. The new standard deviation is the standard deviation divided by the square root of n. For example, if the standard deviation is 50 and the sample size is 100 you need to manually calculate and enter the new standard deviation as 50/sqrt(100) = 50/10 = 5.

Chapter 7

Section 7.1

Finding the Za/2 value: Open Statcrunch, click "Stat", "Calculators", and "Normal". Enter in the mean (enter 0) and standard deviation (enter 1). The last line should read...

P(X>=______) ="half the value of alpha".

Click "compute".

Confidence intervals for Proportions: Open Statcrunch, click "Stat", "Proportion Stats", "One Sample", "with summary". Enter in the given information (number of successes and number of observations) and select "Confidence interval for p". Enter in the appropriate confidence level and click "Compute"

Finding sample size requirement for proportions: Open Statcrunch, click "Stat", "Proportion Stats", "One Sample", "width/sample size". Enter in the confidence level, Target proportion (enter .5 if unknown), width (note the width is twice the margin of error). Click calculate.

Section 7.2

Finding the Ta/2 value: Open Statcrunch, click "Stat", "Calculators", and "T". Enter in the degrees of freedom. The last line should read...

P(X>=______) ="half the value of alpha".

Click "compute".

Confidence intervals for Means: Open Statcrunch, click "Stat", "T Stats", "One Sample", "with summary". Enter in the given information (mean, standard deviation, and sample size) and select "Confidence interval for mu". Enter in the appropriate confidence level and click "Compute"

Note: There is a problem or two in this section that gives you the raw data rather than the summarized form. For these problems we do the following: Click the little box to the right of the data set and select "open in statcrunch". Click "Stat", "T Stats", "One Sample", "with data". Select the data set and select "Confidence interval for mu". Enter in the appropriate confidence level and click "Compute".

Finding sample size requirement for mean: Open Statcrunch, click "Stat", "Z Stats", "One Sample", "width/sample size". Enter in the confidence level, standard deviation, and width (note the width is twice the margin of error). Click calculate.

Chapter 8

Section 8.1

Finding the critical Z value :Open Statcrunch. Click "Stat", "Calculators", and "Normal". Once the calculator comes up, enter in the mean (enter 0) and standard deviation (enter 1).

For a right tailed test....P(X>=____________) = “given alpha value”

For a left tailed test.... P(X<=____________) = “given alpha value”

For a two tailed test with positive test statistic.... P(X>=____________) = “HALF the given alpha value”

Click "compute". Note: If it’s a two tailed test you’ll need the negative and positive of the resulting Z value.

Finding a P-value from the Normal distribution:Open Statcrunch. Click "Stat", "Calculators", and "Normal" Once the Calculator comes up, enter in the mean (enter in 0) and the standard deviation (enter in 1) and the last line should read...

For a right tailed test....P(X>="given test statistic") = ______

For a left tailed test....P(X<="given test statistic") = ______

For a two tailed test with positive test statistic....P(X>="given test statistic") = ______

For a two tailed test with negative test statistic....P(X<="given test statistic") = ______

Click "compute". Note: If it's a two tailed test the P-value will have to be doubled.

Section 8.2

Hypothesis Test for Proportions: Open Statcrunch, click "Stat", "Proportion Stats", "One Sample", "with summary". Enter in the given information (number of successes and number of observations). Enter in the appropriate null hypothesis and alternative. Click "Compute". This will give you the test stat and p-value.

Section 8.3

Finding the critical T value :Open Statcrunch. Click "Stat", "Calculators", and "T". Once the calculator comes up, enter in the number of degrees of freedom and the last line should read..

For a right tailed test....P(X>=____________) = “given alpha value”

For a left tailed test.... P(X<=____________) = “given alpha value”

For a two tailed test with positive test statistic.... P(X>=____________) = “HALF the given alpha value”

Click "compute". Note: If it’s a two tailed test you’ll need the negative and positive of the resulting T value.

Finding a P-value from the T distribution:Open Statcrunch. Click "Stat", "Calculators", and "T". Once the Calculator comes up, enter in the degrees of freedom (n-1) and the last line should read...

For a right tailed test....P(X>="given test statistic") = ______

For a left tailed test....P(X<="given test statistic") = ______

For a two tailed test with positive test statistic....P(X>="given test statistic") = ______

For a two tailed test with negative test statistic....P(X<="given test statistic") = ______

Click "compute". Note: If it's a two tailed test the P-value will have to be doubled.

Hypothesis Test for Means: Open Statcrunch, click "Stat", "T Stats", "One Sample", "with summary". Enter in the given information (mean, standard deviation, and sample size). Enter in the appropriate null hypothesis and alternative. Click "Compute". This will give you the test stat and p-value.

Note: There is a problem or two in this section that gives you the raw data rather than the summarized form. For these problems we do the following: Click the little box to the right of the data set and select "open in statcrunch". Click "Stat", "T Stats", "One Sample", "with data". Select the data set and enter in the appropriate null hypothesis and alternative. Click "Compute". This will give you the test stat and p-value.

Chapter 9

Section 9.1

Hypothesis Test for Two Proportions: Open Statcrunch, click "Stat", "Proportion Stats", "Two Sample", "with summary". Enter in the given information (number of successes and number of observations for both groups). Enter in the appropriate null hypothesis (0) and alternative. Click "Compute". This will give you the test stat and p-value.

Confidence Intervals for Two Proportions: Open Statcrunch, click "Stat", "Proportion Stats", "Two Sample", "with summary". Enter in the given information (number of successes and number of observations for both groups) and select "Confidence interval for p1 - p2". Enter in the appropriate confidence level and click "Compute". Note: If the significance level is .05 and it's a one tailed test (left or right) then the confidence interval will be 90%, not 95% because there has to be the same value in each tail.

Section 9.2

Hypothesis Test for Two Means: Open Statcrunch, click "Stat", "T Stats", "Two Sample", "with summary". Enter in the given information (mean, standard deviation, and sample size for both groups). Enter in the appropriate null hypothesis (0) and alternative. Uncheck the box marked pooled variances. Click "Compute". This will give you the test stat and p-value.

Confidence intervals for Two Means: Open Statcrunch, click "Stat", "T Stats", "Two Sample", "with summary". Enter in the given information (mean, standard deviation, and sample size for both groups) and select "Confidence interval for u1 -u2". Uncheck the box marked pooled variances. Enter in the appropriate confidence level and click "Compute". Note: If the significance level is .05 and it's a one tailed test (left or right) then the confidence interval will be 90%, not 95% because there has to be the same value in each tail.

Section 9.3

Hypothesis test for Paired Means: Click the little box to the right of the data set and choose "Open in Statcrunch". Once Statcrunch is open click "Stat", "T Stats", "Paired". Select the data in sample 1 and sample 2. Enter in the appropriate null hypothesis (0) and alternative. Click "Compute". This will give you the test stat and p-value.

Chapter 10

Section 10.1

Correlation Coefficient: Click the little box next to the data set and choose "Open in Statcrunch". Click "Stat", "Regression", and "Simple Linear". Select the two variables (X and Y)and click "Compute". This will give you a huge amount of information but there is only a couple things that you'll need. Toward the top you'll see R (correlation Coefficient) and if asked for the test stat and/or p-value you can find that on the "slope" row of information.

Section 10.2

Regression Equation: Click the little box next to the data set and choose "Open in Statcrunch". Click "Stat", "Regression", and "Simple Linear". Select the two variables (X and Y)and click "Compute". The regression equation will be one of the first things given.

Chapter 11

Section 11.1

Finding P-Values when Test Statistic is given: Open Statcrunch, click "stat", "calculators", and "chi-square". Enter in the degrees of freedom and the last line should read:

P(X>="given test stat")=_______ . Click calculate.

Goodness of Fit Test: Click the little box next to the data set and choose "Open in Statcrunch" (you might have to type the data in manual on some). Click "Stat", "Goodness of Fit", and "Chi-Square". Select the data set under "Observed". Check the box next to "All cells in equal proportion". Click "Compute".

Section 11.2

Contingency Tables: Click the little box next to the data set and choose "Open in Statcrunch". Click "Stat", "Tables", "Contingency", "with summary". Under "Select columns" choose the the columns with data values in them. Under "row labels" select the column with the names. Click "Compute".

Sours: https://sites.google.com/site/briandthomasson/home/online-statistics-summer/statcrunch-instructions-statistics

Crunch stat

.

.

You will also be interested:

.



365 366 367 368 369