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Basic Statistics - Practice Questions | MAT 112, Study notes of Statistics

Material Type: Notes; Professor: Emmons; Class: Basic Statistics; Subject: Mathematics; University: Utica College; Term: Fall 2005;

Typology: Study notes

Pre 2010

Uploaded on 08/18/2009

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Definitions:
1. Be able to classify variables as either
(a) Population vs. Sample
(b) Quantitative vs. Qualitative
(c) Discrete vs. Continuous
2. Be able to take raw data and make a frequency distribution table and a
histogram
Ex : The ages of 20 children are given as followed:
7456757463
9775474338
(a) Create a frequency distribution table
(b) Create a histogram for the data
3. Finding mean, median and mode for ungrouped data
(a) Mean and Variance for Population data :
µ=Σx
Nσ2=Σx21
Nx)2
N
(b) Mean and Variance for Sample data :
x=Σx
ns2=Σx21
nx)2
n1
4. Finding mean and standard deviation for grouped data.
Commuting Time (in minutes) f m mf m2f
0 to less than 10 3
10 to less than 20 5
20 to less than 30 8
30 to less than 40 11
40 to less than 50 7
5. Stem and Leaf displays. Given raw data, make a stem and leaf display.
Also, given a stem and leaf display, find the raw data.
Example : Create a stem and leaf display for the following data:
1
pf3

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Download Basic Statistics - Practice Questions | MAT 112 and more Study notes Statistics in PDF only on Docsity!

Definitions:

  1. Be able to classify variables as either

(a) Population vs. Sample (b) Quantitative vs. Qualitative (c) Discrete vs. Continuous

  1. Be able to take raw data and make a frequency distribution table and a histogram Ex : The ages of 20 children are given as followed:

(a) Create a frequency distribution table (b) Create a histogram for the data

  1. Finding mean, median and mode for ungrouped data

(a) Mean and Variance for Population data :

μ =

Σx N

σ^2 =

Σx^2 − (^) N^1 (Σx)^2 N

(b) Mean and Variance for Sample data :

x = Σx n

s^2 =

Σx^2 − (^) n^1 (Σx)^2 n − 1

  1. Finding mean and standard deviation for grouped data.

Commuting Time (in minutes) f m mf m^2 f 0 to less than 10 3 10 to less than 20 5 20 to less than 30 8 30 to less than 40 11 40 to less than 50 7

  1. Stem and Leaf displays. Given raw data, make a stem and leaf display. Also, given a stem and leaf display, find the raw data. Example : Create a stem and leaf display for the following data:

Example : The following is a stem and leaf display. Write the data set that is represented by the display

  1. Chebyshev’s Theorem and Empirical Rule

(a) Chebyshev’s Theorem : For any k ≥ 1, at least

k^2 of the values are within k standard deviations of the mean. (b) Empirical Rule : For a data set with a bell-shaped distribution

  • Approximately 68 percent of the data lie within 1 standard de- viation of the mean.
  • Approximately 95 percent of the data lie within 2 standard de- viations of the mean.
  • Approximately 99.7 percent of the data lie within 3 standard deviations of the mean.
  1. Probability : Experiments, Outcomes, Sample Spaces, Conditional Prob- ability, Intersections and Unions of Events Example :

A A Total B 3 4 B 6 8 Total

(a) Find P (A), P (B), P (B), P (A ∩ B), P (A | B), P (A | B), P (A ∪ B). (b) Are the events A and B independent? (c) Are the events A and B mutually exclusive?

Example : Toss a coin three times. Let A be the event that there was at least one head, and let B be the event there was exactly one tail.

(a) Find the sample space for this experiment.