Using MINITAB

6. Analyze results - Graph the data from Table 4 and describe what your graph looks like (you do not have to submit a picture of the actual graph!).

The histogram has one spike that shows that high concentration of data values is below this point. This histogram might be representing a seasonal product, which customers are ordering high volume of product until they run out and order one more time. Also it might be showing the histogram of a car brand were less expensive cars are sold frequently, but in average the middle range cars are bringing to the company more capital and high luxury cars are sold more expensive and less frequently.

5. In HANESS, the men age 18 and over had an average height of 69 inches and an SD of 3 inches. The histograms is show below, with a normal curve. The percentage of men with heights between 66 inches and 72 inches is exactly equal to the area between (a) and (b) under (c). This percentage is approximately equal to the area between (d) and (e) under the (f). Fill in the blanks.

We can also test if there is a significant difference between the average height for females and the average height for the males.

7. Question : In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve indicate?

Save the completed worksheet as a Microsoft® Word document with your name in the file name.

2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: Use the descriptive stats function for one gender and the Fx functions (average and stdev) for the

21. Suppose that you are designing an instrument panel for a large industrial machine. The machine requires the person using it to reach 2 feet from a particular position. The reach from this position for adult women is known to have a mean of 2.8 feet with a standard deviation of .5. The reach for adult men is known to have a mean of 3.1 feet with a standard deviation of .6. Both women’s and men’s reach from this position is normally distributed. If this design is implemented:

5. Using IBM® SPSS® software, conduct a frequency analysis on the gender and marital status variables. From the output, identify the following:

You cannot analyze data until you have brought the relevant data that will answer the question you are asking. A new feature of Excel 2016 is the built-in function which makes getting and transforming your data much faster and easier and allows you to find and gather all your data into one place. These new capabilities were only available previously as a separate add-in called Power Query. Now they can be found built into Excel 2016. They can be accessed from the Get & Transform group located on the Data tab.

b) Does the range rule of thumb overestimate or underestimate the standard deviation for shoe sizes of females?

e. Click to select the Table tab in the dialog box. If your settings do not match those shown below, make the necessary changes.

Now study the images of the segregated school rooms, and identify the differences by filling in the chart. (3 points possible)

For each question, respondents had four possible answers: very common, fairly common, not very common, not at all common. For the purpose of this analysis it will be counted as “common” both “very common” and “fairly common”; while “not common” will correspond to the answers “not very common” and “not at all common”.

It is evident from table no. 1, that majority of the sample among OC category students i.e. 48% are average and in the remaining more than half of the sample 39% are high and a