Karteikarten
Stats 121 Procedures Flashcards
Karten in diesem Stapel (37)
- 1One Sample T-test for Means Test statistic (quantitative)df: n-1
T table - 2One Sample t for Mean confidence interval (Quantitative)df: n-1
T table
- 3One Sample T Conditions (Test and Confidence Interval)1. Randomness of data
collection
2. Normality of
population (plot has
no outliers) or large
sample size
n>30 - 4One Sample T-test Hypotheses
- 5Matched pairs t-test for mean of differences (C->Q)df: n-1
T table
(d stands for difference)
- 6Matched pairs t confidence interval for mean of differences (C->Q)jkjdf: n-1
T table
(d stands for difference)
- 7Matched Pairs T RoleC → Q
Explanatory
variable has 2
levels - 8Matched Pairs T Hypotheses
- 9Matched Pairs T Conditions (Test and Confidence Interval)1. Randomness
2. Normality (plot has
no outliers) or large
sample size
n>30 - 102-sample t-test for difference of means (pooled variance) (C->Q)df: n1+n2-2
T table
- 112-sample t confidence interval for difference of means (pooled variance) (C->Q)df: n1+n2-2
T table
- 122-sample t for difference of means (pooled variance) RoleC → Q
Explanatory
variable has 2
levels
(2 separate SRS or random assignment to two treatments - 132-sample t for difference of means Conditions (test and confidence interval) (C->Q)1. Randomness
2.Normality (sample plots have no outliers)
or large sample size
(both n's>30)
3. Equal population standard deviations
(Largest s/smallest s <2) - 142-sample t-test for difference of means Hypotheses (C->Q)
- 15ANOVA (Analysis of Variance) RoleC → Q
Explanatory
variable has 3+
levels - 16ANOVA (Analysis of Variance) Hypotheses (C->Q)
- 17ANOVA (Analysis of Variance) Conditions (C->Q)1. Randomness
2. Normality ( no outliers)
or large sample size (each sample n>30)
3. Equal population standard deviations
(Largest s/smallest s <2) - 18Linear Regression Test stat (Q->Q)df: n-2
no table used
b=slope
SEb=standard error of slope
- 19Linear Regression Confidence Interval (Q->Q)df: n-2
no table used
b=slope
SEb=standard error of slope
- 20Linear Regression Hypotheses (Q->Q)H0: There is no linear relationship
between the 2 variables
Ha: There is a linear relationship
between the 2 variables - 21Linear Regression Role TypeQuantitative to Quantitative
- 22Linear Regression Conditions (Q->Q)(L.I.N.E.)
Linearity: linear pattern in scatterplot
Independence: random data collection
Normality: histogram of residuals is normal
Equal Pop. Stan. Dev: -scatterplot has no megaphone pattern - 231-sample z for proportions Test Stat (Categorical)P value from z table
- 241-sample z for proportions Confidence Interval (categorical)T table for z*
- 251-sample z for proportions Hypotheses (categorical)
- 261-sample z for proportions Conditions (categorical)1. Randomness
2. Normality of the - 272-sample z for proportions Confidence Interval (C->C)t-table for z*
- 282-sample z for proportions Test statistic (C->C)P-value from z table
- 292-sample z for proportions Role TypeC → C
Explanatory variable
has 2 levels - 302-sample z for proportions Conditions (C->C)Randomness
Normality of - 312-sample z for proportions Hypotheses (C->C)
- 32Chi-Square Formula C->C
- 33Chi-Square Hypotheses C->CH0: There is no association
Ha: There is an association - 34Chi-Square Role TypeCategorical to Categorical
- 35Chi-Square Degrees of Freedom C->Cdf= (r-1)*(c-1)
r = num. of rows
c = num. of columns - 36Chi-Square Conditions C->C1. Randomness
of data collection
2. Large sample
size (All expected
counts > 5) - 372-sample z for proportions Conditions (C->C)
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- Beschreibung
- Karteikarten am Stats 121 Procedures Flashcards, erstellt von Carly Hermansen am 05/04/2020.
- Erstellt von
- Carly Hermansen · Apr 2020
- Aktualisiert
- 6 Apr 2020
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