Question

1) Come up with a single (one) question or problem

2) Think of an example with 30 data points

a. This data needs to be of a quantitative variable (numbers).

3) Then proceed to follow the below steps.

1. example of 30 quantitative data points
2. Purpose
3. State how, when, and where data was collected
4. List of raw data pairs
5. Frequency distribution (table)
6. Histogram
7. Relative percentage polygon
8. Sample mean
9. Sample median
10. Sample mode(s)
11. Sample range
12. Sample variance
13. Sample standard deviation
14. Coefficient of variation
15. Z-scores
16. Initial analysis of data

BELOW IS AN EXAMPLE OF WHAT IT SHOULD LOOK LIKE:

A. Purpose of Project The purpose of our data collection was to find the average temperature for the United States on a given day in the month of October. It can be speculated that a sampling of any 30 cities in the U.S. would produce an accurate average temperature result. Many businesses could find this data useful when making business decisions B. Collect Data The data was surveyed from "The Gazette ", which is the local Colorado Spring newspaper. This publication provides a national temperature chart by the National Weather Service. The sample data was taken from the October 5, 2017, online edition. We selected this source for the data, due to the fact this publications is reputable and obtains it's information from a national source. The temperature from every third city, beginning with the second city in the list, was used. C. List of Raw Data Raw data from the sample of 30 data points are presented below in order from lowest to highest temperatures, in F 48, 57, 58, 64, 64, 66, 68, 69, 69, 70, 72, 73, 73, 73, 73, 76, 83, 83, 83, 84, 84, 86, 86, 86, 87, 87, 87, 87, 88, 89 D. Frequency Distribution Relative Temperature Class Frequency Cumulative F) Frequenc %) Frequenc 40 < 45 45 < 50 50 < 55 55 < 60 60 < 65 65 < 70 70 < 75 75 < 80 80< 85 85 90 0 3.3 0.0 6.7 6.7 13.3 20.0 3.3 16.7 30.0 100.0 0 4 15 16 21 30 30

Answer 1

here, the minimum value = 42

maximum value = 93

Range = 93 - 42 = 51

We will produce 11 classes from 41 to 95

Classes	Frequecny	Rel. Freq.	Cumu..Frq.	Rel Cumu freq.
41-45	2	0.033	2	0.033
46-50	2	0.033	4	0.067
51-55	8	0.133	12	0.200
56-60	5	0.083	17	0.283
61-65	0	0	17	0.283
66-70	6	0.1	23	0.383
71-75	9	0.15	32	0.533
76-80	11	0.183	43	0.717
81-85	10	0.167	53	0.883
86-90	5	0.083	58	0.967
91-95	2	0.033	60	1
Sum	60	1

(2) Here Histogram

10 41 46 51 56 61 66 71 76 81 86 91 96 Data

Polygon

12 10- 8- 4 2 36 41 46 51 56 61 66 71 76 81 86 91 96 Score

Relative frequency line

Cum..Fra. 70 60 50 40 30 20 10 Cum..Frq 40 50 60 70 80 9o 100

Relative cumulative frequency