Calculate the standardized scores

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Reference no: EM131934054

SPSS Lab Assignment -

This week, we start using SPSS. SPSS stands for Statistical Package for the Social Sciences, and is the most frequently used software among psychologists, sociologists and linguists (and probably in many other fields) to perform statistical computations.

Aims of Lab -

Getting familiar with SPSS
Entering data by hand
Using "Variable View" & "Data View"
Creating a Frequency Table and a Histogram with a normal curve/Bar Graph
Calculating Central Tendency (Mean, Median, and Mode)
Calculating measures of Variability (i.e. Standard Deviation, Variance, and Range)
Calculating Standardized Scores (Z-Scores)
Understanding the relationship and measurements of Standard Error, Standard Deviation, and Sample Size

Lab Assignment -

Given the follow random sample for non-obese adult subject's glucose levels 8-hours before eating, compute the following and answer the final questions in APA format.

80	85	93	93
85	90	90	91
75	85	80	86
90	105	102	98
70	86	90	86
97	78	90	92
91	92	99

1) Enter the data set, create the charts, compute the following, and submit the SPSS Output in PDF format only for the data set above:

a. Frequency Distribution Table.

b. Histogram with the Normal Curve or a Bar Graph.

c. Calculate Central Tendency, Standard Deviation, Variance, and Range.

d. Calculate the Standardized Scores.

2) Answer the following questions in APA format:

a. How many cases are there in this data set? That is, what is n?

3) From Central Tendency answer the following:

a. What is the average non-obese adult subject's glucose levels 8-hours before eating?

b. Which non-obese adult's glucose levels occurs most often?

4) From the Frequency Distribution Table answer the following:

a. Given that a normal glucose level for an adult should range from 70-100 eight hours before a meal, what percentage of non-obese adults falls within the normal range?

b. Given that a normal glucose level for an adult should range from 70-100 eight hours before a meal, what percentage of non-obese adults falls outside the normal range?

5) From the Standardized Values answer the following:

a. What are the standard scores for highest and lowest case in the data set?

6) Create a Bar Graph or Histogram with the Normal Curve for the data set. Decide which one is the correct graph based on the type of data provided and explain why. (Note: remember you can go beyond the lab to answer why?)

7) Bristol-Myers Squibb produces a new blood glucose home-monitoring system claiming there is a significant difference between their new system and their old system. The population of non-obese Americans produces a µ = 92 with a normal distribution with known standard deviation of 7. Given the sample above, determine if the sample mean is representative of the population or if it is an extreme? (Explain why, or why not?)

i. Note: remember to pull your sample mean (M) and sample size (n) from above in order to plug it into z-score formula which you will calculate by hand.

For your Reference:

Variable View Guide: this view offers an overview of your variables, and you can also define some features of these variables. The most important features are:

Name: the name of the variable,

Type: defines the type of the variable. Some of the types offered by SPSS are:

Numeric: the usual way of rendering numbers (e.g., 12345,67). This is what Moore & McCabe refer to as quantitative,
Comma: comma before each group of three digits, dot before decimal digits (e.g., 12,345.67),
Dot: dot before each group of three digits, comma before decimal digits (e.g., 12.345,67),
String: any textual information (e.g., answers to an open question),

Width: the number of positions available in the Data View window,

Decimals: the number of decimal digits after the comma/dot,

Label: text providing more information about the variable,

Values: texts providing information about each value of the variable,

Missing: the value used to denote missing values (e.g., "no answer"),

Column: the width of the column in the Data View window,

Measure: the "measurement scale" of the variable (nominal, ordinal or scale, the last covering all types of numeric scales).

Reference no: EM131934054

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