Unit 1 Skill Set.pdf
3
STAT 3090 – Unit 1 Skill Set* Skill Chapter/Section of Text Computer Analysis (Minitab and/or Excel) ** Chapter 1: Decision Making Using Statistics Distinguish between a population and sample Chapter 1 – Section 1.1 Distinguish between a parameter and a statistic Chapter 1 – Section 1.1 Determine whether a statistic is descriptive or inferential Chapter 1 – Section 1.3 Recognize the importance of Statistical literacy Chapter 1 – Section 1.4 Chapter 2: Data, Reality, and Problem Solving Identify a confounding variable within a study Chapter 2 – Section 2.2 Determine whether a given study is an observational study or an experiment Chapter 2 – Section 2.4 Determine when a placebo should be used in an experiment Chapter 2 – Section 2.4 Identify the variables in a research study Chapter 2 Identify the level of measurement (nominal, ordinal, interval, ratio) for a set of data Chapter 2 – Section 2.5 Identify a variable as either qualitative or quantitative Chapter 2 – Section 2.6 Identify a quantitative variable as either discrete or continuous Chapter 2 – Section 2.6 Identify a dataset as time series data Chapter 2 – Section 2.7 Identify trends in time series data Chapter 2 – Section 2.7 Chapter 3: Organizing, Displaying, and Interpreting Data Determine which graphical displays/tables are appropriate for qualitative data and which are appropriate for quantitative data Chapter 3 Create a frequency and relative frequency distribution for qualitative data Chapter 3 – Section 3.1 Minitab and Excel Calculate relative frequencies for qualitative data Chapter 3 – Section 3.1 Minitab and Excel Create a bar chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Create a stacked bar chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Identify frequencies of variable from a stacked bar chart Chapter 3 – Section 3.3 Create a pie chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Determine what is learned about the qualitative data from a bar chart, stacked bar chart, pie chart and/or a frequency/relative frequency distribution Chapter 3 Create a frequency and relative frequency distribution for quantitative data Chapter 3 – Section 3.4 Minitab and Excel Calculate relative frequencies for quantitative data Chapter 3 – Section 3.4 Minitab and Excel Create a histogram for quantitative data Chapter 3 – Section 3.5 Minitab and Excel Determine frequencies of classes for quantitative data from a histogram Chapter 3 – Section 3.5
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Transcript of Unit 1 Skill Set.pdf
STAT 3090 – Unit 1 Skill Set*
Skill Chapter/Section of
Text Computer Analysis
(Minitab and/or Excel) ** Chapter 1: Decision Making Using Statistics
Distinguish between a population and sample Chapter 1 – Section 1.1 Distinguish between a parameter and a statistic Chapter 1 – Section 1.1 Determine whether a statistic is descriptive or inferential
Chapter 1 – Section 1.3
Recognize the importance of Statistical literacy Chapter 1 – Section 1.4 Chapter 2: Data, Reality, and Problem Solving
Identify a confounding variable within a study Chapter 2 – Section 2.2 Determine whether a given study is an observational study or an experiment
Chapter 2 – Section 2.4
Determine when a placebo should be used in an experiment
Chapter 2 – Section 2.4
Identify the variables in a research study Chapter 2 Identify the level of measurement (nominal, ordinal, interval, ratio) for a set of data
Chapter 2 – Section 2.5
Identify a variable as either qualitative or quantitative
Chapter 2 – Section 2.6
Identify a quantitative variable as either discrete or continuous
Chapter 2 – Section 2.6
Identify a dataset as time series data Chapter 2 – Section 2.7 Identify trends in time series data Chapter 2 – Section 2.7
Chapter 3: Organizing, Displaying, and Interpreting Data Determine which graphical displays/tables are appropriate for qualitative data and which are appropriate for quantitative data
Chapter 3
Create a frequency and relative frequency distribution for qualitative data
Chapter 3 – Section 3.1 Minitab and Excel
Calculate relative frequencies for qualitative data Chapter 3 – Section 3.1 Minitab and Excel Create a bar chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Create a stacked bar chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Identify frequencies of variable from a stacked bar chart
Chapter 3 – Section 3.3
Create a pie chart for qualitative data Chapter 3 – Section 3.3 Minitab and Excel Determine what is learned about the qualitative data from a bar chart, stacked bar chart, pie chart and/or a frequency/relative frequency distribution
Chapter 3
Create a frequency and relative frequency distribution for quantitative data
Chapter 3 – Section 3.4 Minitab and Excel
Calculate relative frequencies for quantitative data Chapter 3 – Section 3.4 Minitab and Excel Create a histogram for quantitative data Chapter 3 – Section 3.5 Minitab and Excel Determine frequencies of classes for quantitative data from a histogram
Chapter 3 – Section 3.5
Determine the shape of a distribution from a histogram
Chapter 3 – Section 3.5
Create a Stem and Leaf Display Chapter 3 – Section 3.6 Minitab Determine frequencies of classes for quantitative data for a stem and leaf display
Chapter 3 – Section 3.6
Determine the shape of a distribution from a stem and leaf display
Chapter 3 – Section 3.6
Create a dot plot for quantitative data Chapter 3 – Section 3.8 Minitab Determine the shape of distribution from a dot plot Chapter 3 – Section 3.8
Chapter 4: Numerical Descriptive Statistics Calculate the mean and median for a set of data based on an equation
Chapter 4 – Section 4.1 Minitab and Excel
Recognize the statistical notation for sample mean and population mean
Chapter 4 – Section 4.1
Explain what a resistant statistical measure is Chapter 4 – Section 4.1 Calculate a weighted mean from a table or graph Chapter 4 – Section 4.1 Determine the mode of a set of data Chapter 4 – Section 4.1 Determine when a data set has a mode, bimodal, multimodal or no mode
Chapter 4 – Section 4.1
Determine the relationship between mean, median, and mode for a set of data based on the shape of the distribution
Chapter 4 – Section 4.1
Determine when to best use mean, median, or mode to describe a set of data
Chapter 4 – Section 4.1
Calculate the range, variance and standard deviation from a sample and population
Chapter 4 – Section 4.2 Minitab and Excel
Recognize the statistical notation for sample/population standard deviation and sample/population variance
Chapter 4 – Section 4.2
Describe what the value of the standard deviation implies for a set of data
Chapter 4 – Section 4.2
Use the Empirical Rule or Chebyshev’s Rule to find the approximate percentage of data found between two values
Chapter 4 – Section 4.2
Use the Empirical Rule or Chebyshev’s Rule to find the values (or number of standard deviations away) for which a certain percentage of data will fall between
Chapter 4 – Section 4.2
Give the correct unit of measure for mean, median, mode, range, standard deviation, and variance for a set of data
Chapter 4
Calculate the first and third quartiles for a set of data Chapter 4 – Section 4.3 Minitab and Excel Calculate the interquartile rand for a set of data Chapter 4 – Section 4.3 Minitab and Excel Create a boxplot for a set of data Chapter 4 – Section 4.3 Minitab Determine if a data value is an outlier based on the 1.5 times the IQR rule
Chapter 4 – Section 4.3
Calculate the z-score of a data value and determine the data value’s relationship to the rest of the data in the set
Chapter 4 – Section 4.3
Find the mean, median, variance, and standard deviation for grouped data
Chapter 4 – Section 4.6
Chapter 5: Probability, Randomness, and Uncertainty Understand that probabilities are long run relative frequencies
Chapter 5 – Section 5.1
Determine the sample space for a random experiment
Chapter 5 – Section 5.1
Define an event for a random experiment Chapter 5 – Section 5.1 Understand all of the laws of probability Chapter 5 Determine whether an event is a compound event Chapter 5 – Section 5.4 Determine the probability of the union of events Chapter 5 – Section 5.4 Determine the probability of the intersection of events
Chapter 5 – Section 5.4
Determine the probability of the complement of an event
Chapter 5 – Section 5.4
Write probabilities using proper probability statement notation
Chapter 5
Determine when two events are mutually exclusive Chapter 5 – Section 5.4 Calculate conditional probabilities Chapter 5 – Section 5.5 Determine when two events are independent Chapter 5 – Section 5.6
*Students should expect at least one question on tests that requires synthesis of these skills
**Skills with the indication of Minitab and/or Excel should be learned without the use of computers as well as using the statistical analysis software indicated.
