Канал: AspireMtnAcademy

[6.6.9-T] Finding the probability of voters voting with a normal approximation of the binomial

[6.6.9-T] Finding the probability of voters voting with a normal approximation of the binomial

[6.6.7-T] Approximating the binomial distribution with the normal to find a probability

[6.6.7-T] Approximating the binomial distribution with the normal to find a probability

[5.3.11-T] Finding probabilities and mean values of radioactive decay

[5.3.11-T] Finding probabilities and mean values of radioactive decay

[5.3.2] Finding the mean, standard deviation, and variance of a Poisson distribution

[5.3.2] Finding the mean, standard deviation, and variance of a Poisson distribution

[1.3.33] Identifying the best experimental design for a clinical drug trial

[1.3.33] Identifying the best experimental design for a clinical drug trial

[1.3.17] Identifying the sample method in a tax audit

[1.3.17] Identifying the sample method in a tax audit

[1.2.32] Evaluating movie ratings for the ratio level of measurement

[1.2.32] Evaluating movie ratings for the ratio level of measurement

[1.2.21] Identifying the level of measurement for car rankings

[1.2.21] Identifying the level of measurement for car rankings

[1.1.33] Evaluating an assertion using a statistic about airbags

[1.1.33] Evaluating an assertion using a statistic about airbags

[1.1.23] Evaluating vehicle weight and highway fuel consumption data for potential falsified data

[1.1.23] Evaluating vehicle weight and highway fuel consumption data for potential falsified data

Aspire Mountain Academy Project Update - 25 Jan 21

Aspire Mountain Academy Project Update - 25 Jan 21

Aspire Mountain Academy Project Update - 22 Dec 20

Aspire Mountain Academy Project Update - 22 Dec 20

Aspire Mountain Academy Project Update - 23 Nov 20

Aspire Mountain Academy Project Update - 23 Nov 20

Aspire Mountain Academy Project Update - 16 Nov 20

Aspire Mountain Academy Project Update - 16 Nov 20

Aspire Mountain Academy Project Update - 9 Nov 20

Aspire Mountain Academy Project Update - 9 Nov 20

Aspire Mountain Academy Project Update - 2 Nov 20

Aspire Mountain Academy Project Update - 2 Nov 20

Engl 294 NaNoWriMo: How to Write a 50,000-Word Novel Every November

Engl 294 NaNoWriMo: How to Write a 50,000-Word Novel Every November

Aspire Mountain Academy Project Update - 26 Oct 20

Aspire Mountain Academy Project Update - 26 Oct 20

Aspire Mountain Academy Project Update - 19 Oct 20

Aspire Mountain Academy Project Update - 19 Oct 20

Aspire Mountain Academy Project Update - 12 Oct 20

Aspire Mountain Academy Project Update - 12 Oct 20

Aspire Mountain Academy Project Update 5 Oct 20

Aspire Mountain Academy Project Update 5 Oct 20

Aspire Mountain Academy Project Update - 28 Sept 20

Aspire Mountain Academy Project Update - 28 Sept 20

Aspire Mountain Academy Project Update 21 Sept 20

Aspire Mountain Academy Project Update 21 Sept 20

Aspire Mountain Academy Project Update 14 Sept 20

Aspire Mountain Academy Project Update 14 Sept 20

Aspire Mountain Academy Project Report 7 Sept 20

Aspire Mountain Academy Project Report 7 Sept 20

Stat 101 Lecture 4.1.8 - Relative Risk and the Odds Ratio

Stat 101 Lecture 4.1.8 - Relative Risk and the Odds Ratio

Stat 101 Lecture 3.1.6 - Frequency Distribution Means

Stat 101 Lecture 3.1.6 - Frequency Distribution Means

Stat 101 Lecture 2.3.8 - Frequency polygons

Stat 101 Lecture 2.3.8 - Frequency polygons

Stat 101 Lecture 2.3.7 - Pie charts

Stat 101 Lecture 2.3.7 - Pie charts

Stat 101 Lecture 2.1.6 - Converting Frequency Distribution Tables in StatCrunch

Stat 101 Lecture 2.1.6 - Converting Frequency Distribution Tables in StatCrunch

Stat 101 Lecture 2.1.5 - Using Frequency Distributions

Stat 101 Lecture 2.1.5 - Using Frequency Distributions

Stat 101 Lecture 2.1.4 - Creating Frequency Distributions with StatCrunch

Stat 101 Lecture 2.1.4 - Creating Frequency Distributions with StatCrunch

Stat 101 Lecture 1.3.2 - Simple Random Samples

Stat 101 Lecture 1.3.2 - Simple Random Samples

Stat 101 Lecture 1.2.1 - Parameters & Statistics

Stat 101 Lecture 1.2.1 - Parameters & Statistics

Stat 101 Lecture 1.1.2 - Statistical Study Process

Stat 101 Lecture 1.1.2 - Statistical Study Process

Stat 101 Lecture 1.1.1 - Introductory Vocabulary

Stat 101 Lecture 1.1.1 - Introductory Vocabulary

Stat 101 Lecture 0.0.4 - Course Structure

Stat 101 Lecture 0.0.4 - Course Structure

Stat 101 Lecture 0.0.3 - Recommended Materials

Stat 101 Lecture 0.0.3 - Recommended Materials

Stat 101 Lecture 0.0.2 - Course Expectations

Stat 101 Lecture 0.0.2 - Course Expectations

Stat 101 Lecture 0.0.1 - Welcome to the course

Stat 101 Lecture 0.0.1 - Welcome to the course

Aspire Mountain Academy Project Update - 31 Aug 20

Aspire Mountain Academy Project Update - 31 Aug 20

Aspire Mountain Academy Project Update - 24 Aug 20

Aspire Mountain Academy Project Update - 24 Aug 20

Aspire Mountain Academy Project Update - 17 Aug 20

Aspire Mountain Academy Project Update - 17 Aug 20

Aspire Mountain Academy Project Update 10 Aug 20

Aspire Mountain Academy Project Update 10 Aug 20

Aspire Mountain Academy Project Update 3 Aug 20

Aspire Mountain Academy Project Update 3 Aug 20

Aspire Mountain Academy Project Update - 27 Jul 20

Aspire Mountain Academy Project Update - 27 Jul 20

[1.1.15] Distinguishing between statistical and practical significance for a gender selection study

[1.1.15] Distinguishing between statistical and practical significance for a gender selection study

Aspire Mountain Academy Project Report - 20 Jul 20

Aspire Mountain Academy Project Report - 20 Jul 20

Aspire Mountain Academy Project Update - 13 Jul 20

Aspire Mountain Academy Project Update - 13 Jul 20

Aspire Mountain Academy Project Update - 6 Jul 2020

Aspire Mountain Academy Project Update - 6 Jul 2020

Using bootstrap methods to construct a mean confidence interval estimate

Using bootstrap methods to construct a mean confidence interval estimate

Aspire Mountain Academy Project Update - 29 Jun 20

Aspire Mountain Academy Project Update - 29 Jun 20

Aspire Mountain Academy Project Update - 22 Jun 2020

Aspire Mountain Academy Project Update - 22 Jun 2020

Aspire Mountain Academy Project Update - 15 June 2020

Aspire Mountain Academy Project Update - 15 June 2020

Aspire Mountain Academy Project Update 8 Jun 20

Aspire Mountain Academy Project Update 8 Jun 20

AMA Project Update 1 June 2020

AMA Project Update 1 June 2020

Memorial Day 2020 - In memory of Darrel Ken Curtis Sr.

Memorial Day 2020 - In memory of Darrel Ken Curtis Sr.

Recognizing a balanced design in two-way ANOVA hypothesis testing

Recognizing a balanced design in two-way ANOVA hypothesis testing

Performing the Kruskal-Wallis test for chest deceleration measurements

Performing the Kruskal-Wallis test for chest deceleration measurements

Recognizing the effect of data transformations on two-way ANOVA results

Recognizing the effect of data transformations on two-way ANOVA results

Performing the runs test for randomness in law enforcement fatalities using StatCrunch

Performing the runs test for randomness in law enforcement fatalities using StatCrunch

Performing Spearman's rank correlation test for audience impressions

Performing Spearman's rank correlation test for audience impressions

Performing proportion hypothesis testing on vehicles with front license plates

Performing proportion hypothesis testing on vehicles with front license plates

Performing Spearman's rank correlation test for distance-time data

Performing Spearman's rank correlation test for distance-time data

Performing the Wilcoxon signed ranks test for median volumes

Performing the Wilcoxon signed ranks test for median volumes

Performing the Wilcoxon signed ranks test for earnings by education

Performing the Wilcoxon signed ranks test for earnings by education

Performing contingency table hypothesis testing to evaluate baseball player birthdays

Performing contingency table hypothesis testing to evaluate baseball player birthdays

AMA Project Update 28 April 2020

AMA Project Update 28 April 2020

Performing a sign hypothesis test of median heights

Performing a sign hypothesis test of median heights

Conducting hypothesis testing on multiple linear regression coefficients

Conducting hypothesis testing on multiple linear regression coefficients

Conducting mean hypothesis testing on IQ and lead level data

Conducting mean hypothesis testing on IQ and lead level data

Choosing the best multiple regression model

Choosing the best multiple regression model

[6.2.31] Using a nonstandard normal distribution to evaluate pregnancy and premature birth data

[6.2.31] Using a nonstandard normal distribution to evaluate pregnancy and premature birth data

[2.1.23] Constructing and interpreting a relative frequency distribution from categorical data

[2.1.23] Constructing and interpreting a relative frequency distribution from categorical data

[1.2.26] Determining the appropriate level of measurement for Olympic years

[1.2.26] Determining the appropriate level of measurement for Olympic years

Performing mean hypothesis testing on the number of words per page

Performing mean hypothesis testing on the number of words per page

[1.3.6] Distinguishing an observational study from an experiment

[1.3.6] Distinguishing an observational study from an experiment

[5.2.36-T] Using a binomial distribution to evaluate toy manufacturing quality control

[5.2.36-T] Using a binomial distribution to evaluate toy manufacturing quality control

[2.1.19] Constructing a relative frequency distribution from a frequency counts table in StatCrunch

[2.1.19] Constructing a relative frequency distribution from a frequency counts table in StatCrunch

Finding a specific Stat 101 Homework Help video

Finding a specific Stat 101 Homework Help video

Introduction to FREE Stat 101 course resources

Introduction to FREE Stat 101 course resources

Using bootstrap methods to construct a proportion confidence interval estimate

Using bootstrap methods to construct a proportion confidence interval estimate

[3.1.7] Finding and interpreting summary statistics of celebrity earnings

[3.1.7] Finding and interpreting summary statistics of celebrity earnings

Conducting mean hypothesis testing on back pain treatment data

Conducting mean hypothesis testing on back pain treatment data

Finding the sample size needed to estimate a mean confidence interval of student completion rates

Finding the sample size needed to estimate a mean confidence interval of student completion rates

Finding the best predicted value using the best multiple regression model

Finding the best predicted value using the best multiple regression model

Finding degrees of freedom, critical values, and a standard deviation confidence interval estimate

Finding degrees of freedom, critical values, and a standard deviation confidence interval estimate

[4.3.19] Finding the positive predictive value of a polygraph test

[4.3.19] Finding the positive predictive value of a polygraph test

Performing hypothesis testing on soda can fill variation

Performing hypothesis testing on soda can fill variation

[5.3.14-T] Using the Poisson distribution to evaluate malignant tumor data

[5.3.14-T] Using the Poisson distribution to evaluate malignant tumor data

Using the Levene-Brown-Forsythe test for standard deviation hypothesis testing

Using the Levene-Brown-Forsythe test for standard deviation hypothesis testing

[6.5.21] Evaluating the effect of data transformations on normally distributed data

[6.5.21] Evaluating the effect of data transformations on normally distributed data

Finding the variations and a prediction interval for diamond weights and price data

Finding the variations and a prediction interval for diamond weights and price data

[2.2.12] Using StatCrunch to construct and evaluate a histogram from a frequency distribution table

[2.2.12] Using StatCrunch to construct and evaluate a histogram from a frequency distribution table

Performing linear regression hypothesis testing on lemon imports and crash fatality rates

Performing linear regression hypothesis testing on lemon imports and crash fatality rates

[6.6.16-T] Finding and interpreting the probability of flu side effects from a cholesterol treatment

[6.6.16-T] Finding and interpreting the probability of flu side effects from a cholesterol treatment

[4.1.22] Finding the probability of a false positive drug test from tabulated data

[4.1.22] Finding the probability of a false positive drug test from tabulated data

Using goodness of fit hypothesis testing and Benford's Law to detect online hacking

Using goodness of fit hypothesis testing and Benford's Law to detect online hacking

[6.4.20-T] Using a nonstandard normal distribution to evaluate aircraft load capacity

[6.4.20-T] Using a nonstandard normal distribution to evaluate aircraft load capacity

Identifying the symbolic claim and hypotheses for a claim about a population standard deviation

Identifying the symbolic claim and hypotheses for a claim about a population standard deviation

Performing hypothesis testing on means of right and left hand reaction times

Performing hypothesis testing on means of right and left hand reaction times

Identifying statistical values related to hypothesis testing of two population proportions

Identifying statistical values related to hypothesis testing of two population proportions

Understanding the assumptions underlying one-way ANOVA hypothesis testing

Understanding the assumptions underlying one-way ANOVA hypothesis testing

Performing mean hypothesis testing on a politician's claim of survey results

Performing mean hypothesis testing on a politician's claim of survey results

Finding the regression equation and best predicted value for bear chest size

Finding the regression equation and best predicted value for bear chest size

Finding the best nonlinear regression model for bacteria growth

Finding the best nonlinear regression model for bacteria growth

Finding the sample size needed to estimate a confidence interval on a population mean

Finding the sample size needed to estimate a confidence interval on a population mean

Applying one-way ANOVA hypothesis testing to bicycle lap times

Applying one-way ANOVA hypothesis testing to bicycle lap times

Applying goodness of fit hypothesis testing to horse race post positions

Applying goodness of fit hypothesis testing to horse race post positions

Finding the best nonlinear regression model for a subway fare

Finding the best nonlinear regression model for a subway fare

Finding the linear correlation coefficient from a Minitab display

Finding the linear correlation coefficient from a Minitab display

Performing hypothesis testing on the variances of skull measurements

Performing hypothesis testing on the variances of skull measurements

Performing hypothesis testing on two independent sample means of soda can fill volumes

Performing hypothesis testing on two independent sample means of soda can fill volumes

Performing hypothesis testing on two proportions of common attributes

Performing hypothesis testing on two proportions of common attributes

Performing hypothesis testing on standard deviations of drive-thru service times

Performing hypothesis testing on standard deviations of drive-thru service times

Finding a confidence interval given summary sample data

Finding a confidence interval given summary sample data

Finding the best point estimate and confidence interval for proportions

Finding the best point estimate and confidence interval for proportions

[6.2.7] Finding the area under a normal distribution curve using StatCrunch

[6.2.7] Finding the area under a normal distribution curve using StatCrunch

[6.3.7] Creating a variance sampling distribution probability distribution table in StatCrunch

[6.3.7] Creating a variance sampling distribution probability distribution table in StatCrunch

[5.2.13] Finding probability using the multiplication rule

[5.2.13] Finding probability using the multiplication rule

[4.4.14] Finding probability using combinations

[4.4.14] Finding probability using combinations

[4.2.13] Finding probability from a frequency table for selections with and without replacement

[4.2.13] Finding probability from a frequency table for selections with and without replacement

[4.2.11] Finding probability from a frequency table and identifying disjoint events

[4.2.11] Finding probability from a frequency table and identifying disjoint events

[3.1.17] Finding the mean, median, mode, midrange, and outliers of a data set

[3.1.17] Finding the mean, median, mode, midrange, and outliers of a data set

[2.3.9] Constructing a time series plot

[2.3.9] Constructing a time series plot

Finding and using expected frequency for goodness of fit hypothesis testing

Finding and using expected frequency for goodness of fit hypothesis testing

Using an ANOVA table for hypothesis testing

Using an ANOVA table for hypothesis testing

Using goodness of fit for hypothesis testing of the best day for quality family time

Using goodness of fit for hypothesis testing of the best day for quality family time

Finding the best nonlinear regression model for stock market index values

Finding the best nonlinear regression model for stock market index values

Finding a P-value given the test statistic

Finding a P-value given the test statistic

Evaluating a multiple linear regression equation based on a given technology output

Evaluating a multiple linear regression equation based on a given technology output

Finding the best regression equation given multiple variables

Finding the best regression equation given multiple variables

Finding the coefficient of determination and the explained variation

Finding the coefficient of determination and the explained variation

Using StatCrunch to find a regression line equation from a given scatterplot

Using StatCrunch to find a regression line equation from a given scatterplot

Performing linear correlation hypothesis testing for bill totals and top amounts

Performing linear correlation hypothesis testing for bill totals and top amounts

[6.5.9-T] Creating and interpreting a normal quantile plot

[6.5.9-T] Creating and interpreting a normal quantile plot

Using StatCrunch to perform hypothesis testing on two standard deviations of alcohol treatments

Using StatCrunch to perform hypothesis testing on two standard deviations of alcohol treatments

Using StatCrunch to perform hypothesis testing on two matched pair means of acting award ages

Using StatCrunch to perform hypothesis testing on two matched pair means of acting award ages

Using StatCrunch to perform hypothesis testing on two independent means of blood pressures

Using StatCrunch to perform hypothesis testing on two independent means of blood pressures

Using StatCrunch to perform hypothesis testing on means of female pulse rates

Using StatCrunch to perform hypothesis testing on means of female pulse rates

Using StatCrunch to perform hypothesis testing on proportions of jury selections

Using StatCrunch to perform hypothesis testing on proportions of jury selections

Using a z-score to complete hypothesis testing for a claim of inequality

Using a z-score to complete hypothesis testing for a claim of inequality

Finding and interpreting a confidence interval for a population standard deviation

Finding and interpreting a confidence interval for a population standard deviation

Finding and interpreting a confidence interval for a population mean (σ known)

Finding and interpreting a confidence interval for a population mean (σ known)

Finding the sample size needed to estimate a population proportion

Finding the sample size needed to estimate a population proportion

[6.4.18-T] Applying a nonstandard Normal distribution to boat design

[6.4.18-T] Applying a nonstandard Normal distribution to boat design

[6.3.10] Creating a proportion sampling distribution probability distribution table

[6.3.10] Creating a proportion sampling distribution probability distribution table

[6.2.26-T] Finding a percentile using a Normal distribution

[6.2.26-T] Finding a percentile using a Normal distribution

[6.1.8] Finding a uniform distribution probability

[6.1.8] Finding a uniform distribution probability

[5.2.26] Finding a binomial distribution probability of "no more than one"

[5.2.26] Finding a binomial distribution probability of "no more than one"

[5.1.24] Finding probabilities from a probability distribution table

[5.1.24] Finding probabilities from a probability distribution table

[5.1.16] Using the Range Rule of Thumb to find significant values

[5.1.16] Using the Range Rule of Thumb to find significant values

[4.4.23] Finding probabilities using permutations and combinations

[4.4.23] Finding probabilities using permutations and combinations

[4.3.9] Finding the probability of at least one

[4.3.9] Finding the probability of at least one

[4.2.27] Finding the probability of accepting a batch in manufacturing

[4.2.27] Finding the probability of accepting a batch in manufacturing

[4.1.42] Finding the probability of winning at roulette

[4.1.42] Finding the probability of winning at roulette

[3.3.9] Converting z-scores to real world values with StatCrunch

[3.3.9] Converting z-scores to real world values with StatCrunch

[3.2.43] Using Chebyshev's Theorem to derive proportions

[3.2.43] Using Chebyshev's Theorem to derive proportions

[2.4.9] Identifying critical R values

[2.4.9] Identifying critical R values

[2.4.13] Identifying and interpreting a P-value for linear correlation

[2.4.13] Identifying and interpreting a P-value for linear correlation

[2.3.15] Constructing a frequency polygon in StatCrunch

[2.3.15] Constructing a frequency polygon in StatCrunch

[4.1.9] Finding probability by subjective judgement

[4.1.9] Finding probability by subjective judgement

[2.2.13] Constructing a histogram from a frequency distribution table

[2.2.13] Constructing a histogram from a frequency distribution table

[3.2.26-T] Finding measures of variation before and after adding a data point

[3.2.26-T] Finding measures of variation before and after adding a data point

[4.3.15] Finding conditional probability from a frequency table

[4.3.15] Finding conditional probability from a frequency table

[3.3.31] Finding a five-number summary and constructing a boxplot

[3.3.31] Finding a five-number summary and constructing a boxplot

Using a calculator display to perform hypothesis testing on proportions

Using a calculator display to perform hypothesis testing on proportions

[2.3.7] Constructing a stem-and-leaf plot

[2.3.7] Constructing a stem-and-leaf plot

Performing hypothesis testing on means of tornado lengths in StatCrunch

Performing hypothesis testing on means of tornado lengths in StatCrunch

Performing hypothesis testing on standard deviations of piston heads in StatCrunch

Performing hypothesis testing on standard deviations of piston heads in StatCrunch

Performing hypothesis testing on two proportions in StatCrunch

Performing hypothesis testing on two proportions in StatCrunch

Performing correlation hypothesis testing

Performing correlation hypothesis testing

[6.1.38-T] Finding the percentile for a standard normal distribution

[6.1.38-T] Finding the percentile for a standard normal distribution

Using StatCrunch to perform hypothesis testing on matched pair means

Using StatCrunch to perform hypothesis testing on matched pair means

Finding the value of the test statistic for hypothesis testing on proportions

Finding the value of the test statistic for hypothesis testing on proportions

Using StatCrunch to find a regression line equation

Using StatCrunch to find a regression line equation

Using one-way ANOVA for hypothesis testing of cigarette filters

Using one-way ANOVA for hypothesis testing of cigarette filters

Using one-way ANOVA for hypothesis testing and the Bonferroni test

Using one-way ANOVA for hypothesis testing and the Bonferroni test

Finding the sample size needed to estimate a population standard deviation

Finding the sample size needed to estimate a population standard deviation

Using goodness of fit and Benford's Law for hypothesis testing to detect check fraud

Using goodness of fit and Benford's Law for hypothesis testing to detect check fraud

Finding the best regression model for shock waves from explosives

Finding the best regression model for shock waves from explosives

Finding and using a specified multiple regression equation

Finding and using a specified multiple regression equation

Finding the explained variation, the unexplained variation, and a prediction interval estimate

Finding the explained variation, the unexplained variation, and a prediction interval estimate

Finding the regression equation and best predicted value for earthquake data

Finding the regression equation and best predicted value for earthquake data

Evaluating the correlation of data values that produce box patterns

Evaluating the correlation of data values that produce box patterns

Finding the mean absolute deviation (MAD) for hypothesis testing with the count five method

Finding the mean absolute deviation (MAD) for hypothesis testing with the count five method

Using StatCrunch to construct a CI for two matched pair means of hospital admissions

Using StatCrunch to construct a CI for two matched pair means of hospital admissions

Using StatCrunch to perform hypothesis testing on two independent sample means of body temperatures

Using StatCrunch to perform hypothesis testing on two independent sample means of body temperatures

Using StatCrunch to perform hypothesis testing on two proportions of referee calls

Using StatCrunch to perform hypothesis testing on two proportions of referee calls

Using StatCrunch to perform hypothesis testing on standard deviations of aircraft altimeters

Using StatCrunch to perform hypothesis testing on standard deviations of aircraft altimeters

Using StatCrunch to perform hypothesis testing on means of course evaluation scores

Using StatCrunch to perform hypothesis testing on means of course evaluation scores

Using StatCrunch to perform hypothesis testing on the proportion of polygraph results

Using StatCrunch to perform hypothesis testing on the proportion of polygraph results

Identifying Type I and Type II errors

Identifying Type I and Type II errors

Using a z-score to complete hypothesis testing for a claim of equality

Using a z-score to complete hypothesis testing for a claim of equality

Finding and interpreting a confidence interval for a population standard deviation given sample data

Finding and interpreting a confidence interval for a population standard deviation given sample data

Finding and interpreting a confidence interval for a population mean (σ unknown)

Finding and interpreting a confidence interval for a population mean (σ unknown)

[6.5.17-T] Creating a normal quantile plot to find z-scores

[6.5.17-T] Creating a normal quantile plot to find z-scores

Finding a sample proportion and the corresponding confidence interval

Finding a sample proportion and the corresponding confidence interval

[6.4.6-T] Finding probabilities for different sample sizes using a nonstandard normal distribution

[6.4.6-T] Finding probabilities for different sample sizes using a nonstandard normal distribution

[6.3.9] Creating in StatCrunch a probability distribution table for a medians sampling distribution

[6.3.9] Creating in StatCrunch a probability distribution table for a medians sampling distribution