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Introductory Statistics
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1. Intro to Stats and Collecting Data
1h 14m
챕터 워크시트
Intro to Stats
24m
Levels of Measurement
18m
Intro to Collecting Data
8m
Sampling Methods
23m
2. Describing Data with Tables and Graphs
1h 56m
챕터 워크시트
Visualizing Qualitative vs. Quantitative Data
4m
Frequency Distributions
35m
Histograms
14m
Bar Graphs and Pareto Charts
11m
Pie Charts
8m
Frequency Polygons
10m
Dot Plots
6m
Stemplots (Stem-and-Leaf Plots)
14m
Time-Series Graph
9m
3. Describing Data Numerically
2h 5m
챕터 워크시트
Mean
9m
Median
17m
Mode
7m
Standard Deviation
16m
Interpreting Standard Deviation
20m
Percentiles & Quartiles
14m
Describing Data Numerically Using a Graphing Calculator
Bonus
10m
Boxplots
8m
Descriptive Statistics-Excel
Bonus
11m
Boxplots-Excel
Bonus
8m
4. Probability
2h 21m
챕터 워크시트
Basic Concepts of Probability
7m
Complements
6m
Addition Rule
17m
Multiplication Rule: Independent Events
11m
Introduction to Contingency Tables
17m
Multiplication Rule: Dependent Events
17m
Bayes' Theorem
13m
Fundamental Counting Principle
8m
Counting
41m
5. Binomial Distribution & Discrete Random Variables
3h 6m
챕터 워크시트
Discrete Random Variables
31m
Binomial Distribution
1h 7m
Finding Binomial Probabilities-Excel
Bonus
17m
Poisson Distribution
40m
Finding Poisson Probabilities-Excel
Bonus
15m
Hypergeometric Distribution
14m
6. Normal Distribution and Continuous Random Variables
2h 11m
챕터 워크시트
Uniform Distribution
18m
Standard Normal Distribution
39m
Probabilities & Z-Scores w/ Graphing Calculator
Bonus
19m
Non-Standard Normal Distribution
21m
Finding Probabilities, Z Values, and X Values with the Normal Distribution-Excel
Bonus
32m
7. Sampling Distributions & Confidence Intervals: Mean
3h 23m
챕터 워크시트
Sampling Distribution of the Sample Mean and Central Limit Theorem
19m
Distribution of Sample Mean - Excel
Bonus
23m
Introduction to Confidence Intervals
15m
Confidence Intervals for Population Mean
1h 18m
Determining the Minimum Sample Size Required
12m
Finding Probabilities and T Critical Values - Excel
Bonus
28m
Confidence Intervals for Population Means - Excel
Bonus
25m
8. Sampling Distributions & Confidence Intervals: Proportion
2h 10m
챕터 워크시트
Sampling Distribution of Sample Proportion
29m
Confidence Intervals for Population Proportion
42m
Confidence Intervals for Population Proportion - Excel
Bonus
12m
Chi Square Distribution
20m
Confidence Intervals for Population Variance
24m
9. Hypothesis Testing for One Sample
5h 8m
챕터 워크시트
Steps in Hypothesis Testing
1h 6m
Performing Hypothesis Tests: Means
1h 4m
Hypothesis Testing: Means - Excel
Bonus
42m
Performing Hypothesis Tests: Proportions
37m
Hypothesis Testing: Proportions - Excel
Bonus
27m
Performing Hypothesis Tests: Variance
12m
Critical Values and Rejection Regions
28m
Link Between Confidence Intervals and Hypothesis Testing
12m
Type I & Type II Errors
16m
10. Hypothesis Testing for Two Samples
5h 37m
챕터 워크시트
Two Proportions
1h 13m
Two Proportions Hypothesis Test - Excel
Bonus
28m
Two Means - Unknown, Unequal Variance
1h 3m
Two Means - Unknown Variances Hypothesis Test - Excel
Bonus
12m
Two Means - Unknown, Equal Variance
15m
Two Means - Unknown, Equal Variances Hypothesis Test - Excel
Bonus
9m
Two Means - Known Variance
12m
Two Means - Sigma Known Hypothesis Test - Excel
Bonus
21m
Two Means - Matched Pairs (Dependent Samples)
42m
Matched Pairs Hypothesis Test - Excel
Bonus
12m
Two Variances and F Distribution
29m
Two Variances - Graphing Calculator
Bonus
16m
11. Correlation
1h 24m
챕터 워크시트
Scatterplots & Intro to Correlation
26m
Correlation Coefficient
21m
Creating Scatterplots and FInding Correlation Coefficient - Excel
Bonus
6m
Hypothesis Tests for Correlation Coefficient Using TI-84
Bonus
17m
Inferences for the Correlation Coefficient - Excel
Bonus
11m
12. Regression
3h 33m
챕터 워크시트
Linear Regression & Least Squares Method
26m
Residuals
12m
Coefficient of Determination
12m
Regression Line Equation and Coefficient of Determination - Excel
Bonus
8m
Finding Residuals and Creating Residual Plots - Excel
Bonus
11m
Inferences for Slope
31m
Enabling Data Analysis Toolpak
Bonus
1m
Regression Readout of the Data Analysis Toolpak - Excel
Bonus
21m
Prediction Intervals
13m
Prediction Intervals - Excel
Bonus
19m
Multiple Regression - Excel
Bonus
29m
Quadratic Regression
15m
Quadratic Regression - Excel
Bonus
10m
13. Chi-Square Tests & Goodness of Fit
2h 21m
챕터 워크시트
Goodness of Fit Test
41m
Goodness of FIt Test Using TI-84
Bonus
17m
Goodness of Fit Test - Excel
Bonus
10m
Contingency Tables
12m
Independence Tests
14m
Homogeneity Tests
11m
Using Matrices on a TI-84
Bonus
6m
Independence Test Using TI-84
Bonus
12m
Independence Tests - Excel
Bonus
13m
14. ANOVA
2h 29m
챕터 워크시트
Introduction to ANOVA
31m
One-Way ANOVA - Excel
Bonus
12m
Multiple Comparisons: Tukey Test
14m
Multiple Comparisons: Tukey-Kramer Test
15m
Multiple Comparisons: Bonferoni Test
24m
Two-Way ANOVA
32m
Two-Way ANOVA - Excel
Bonus
18m
3. Describing Data Numerically
Mean
Introductory Statistics
3. Describing Data Numerically
Mean
이전 문제
다음 문제
Introductory Statistics 때문에 힘들어하고 계신가요?
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객관식
What is the geometric mean of 4 and 25?
A
29
B
10
C
9
D
14.5
0
0 댓글
이전 문제
다음 문제
검증된 단계별 안내
1
Identify the numbers for which you want to find the geometric mean. In this case, the numbers are 4 and 25.
Recall the formula for the geometric mean of two numbers \(a\) and \(b\): \[ \text{Geometric Mean} = \sqrt{a \times b} \]
전체 해결책 보기
Substitute the given numbers into the formula: \[ \sqrt{4 \times 25} \]
Multiply the numbers inside the square root: \[ \sqrt{100} \]
Take the square root of the product to find the geometric mean.
4:52m
다음 시청
마스터 Calculating the Mean가
Patrick Ford
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