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statistics/ please help ASAP

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a set of data is normally distributed with a mean of 500 and a standard deviation of 100.

a) what would the standard score fora score of 700 be?

b) what % of scores is between 500 and 700?

c) what would the percentile rank for a score of 700

*please show and answer all questions a-c. i have been trying to work out problems for hours now i am just frustrated and ready to cry. thank you.
mary

  • statistics/ please help ASAP - ,

    A Z score is one type of standard score.

    Z = (score-mean)/standard deviation

    Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportions related to the Z scores.

  • statistics/ please help ASAP - ,

    AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:

    LOCATION (Rural, Urban, Suburban)
    INCOME (in $1,000's – be careful with this)
    SIZE (Household Size, meaning number of people living in the household)
    YEARS (the number of years that the customer has lived in the current location)
    CREDIT BALANCE (the customers current credit card balance on the store's credit card, in $).
    The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:

    LOCATION
    INCOME($1000)
    SIZE
    YEARS
    CREDIT BALANCE($)

    Urban
    54
    3
    12
    4016

    Rural
    30
    2
    12
    3159

    Suburban
    32
    4
    17
    5100

    Suburban
    50
    5
    14
    4742

    Rural
    31
    2
    4
    1864

    Urban
    55
    2
    9
    4070

    Rural
    37
    1
    20
    2731

    Urban
    40
    2
    7
    3348

    Suburban
    66
    4
    10
    4764

    Urban
    51
    3
    16
    4110

    Urban
    25
    3
    11
    4208

    Urban
    48
    4
    16
    4219

    Rural
    27
    1
    19
    2477

    Rural
    33
    2
    12
    2514

    Urban
    65
    3
    12
    4214

    Suburban
    63
    4
    13
    4965

    Urban
    42
    6
    15
    4412

    Urban
    21
    2
    18
    2448

    Rural
    44
    1
    7
    2995

    Urban
    37
    5
    5
    4171

    Suburban
    62
    6
    13
    5678

    Urban
    21
    3
    16
    3623

    Suburban
    55
    7
    15
    5301

    Rural
    42
    2
    19
    3020

    Urban
    41
    7
    18
    4828

    Suburban
    54
    6
    14
    5573

    Rural
    30
    1
    14
    2583

    Rural
    48
    2
    8
    3866

    Urban
    34
    5
    5
    3586

    Suburban
    67
    4
    13
    5037

    Rural
    50
    2
    11
    3605

    Urban
    67
    5
    1
    5345

    Urban
    55
    6
    16
    5370

    Urban
    52
    2
    11
    3890

    Urban
    62
    3
    2
    4705

    Urban
    64
    2
    6
    4157

    Suburban
    22
    3
    18
    3579

    Urban
    29
    4
    4
    3890

    Suburban
    39
    2
    18
    2972

    Rural
    35
    1
    11
    3121

    Urban
    39
    4
    15
    4183

    Suburban
    54
    3
    9
    3730

    Suburban
    23
    6
    18
    4127

    Rural
    27
    2
    1
    2921

    Urban
    26
    7
    17
    4603

    Suburban
    61
    2
    14
    4273

    Rural
    30
    2
    14
    3067

    Rural
    22
    4
    16
    3074

    Suburban
    46
    5
    13
    4820

    Suburban
    66
    4
    20
    5149




    PROJECT PART A: Exploratory Data Analysis


    Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
    For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean.
    Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
    Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I'm not looking for a 20 page report on every variable and every possible relationship (that's 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.
    All DeVry University policies are in effect, including the plagiarism policy.
    Project Part A report is due by the end of Week 2.
    Project Part A is worth 100 total points. See grading rubric below.
    Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.

    Format for report:

    Brief Introduction
    Discuss your 1st individual variable, using graphical, numerical summary and interpretation
    Discuss your 2nd individual variable, using graphical, numerical summary and interpretation
    Discuss your 3rd individual variable, using graphical, numerical summary and interpretation
    Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation
    Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation
    Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation
    Conclusion


    Project Part A: Grading Rubric

    Category Points % Description
    Three Individual Variables - 12pts. each 36 36 graphical analysis, numerical analysis (when appropriate) and interpretation
    Three Relationships - 15 pts. each 45 45 graphical analysis, numerical analysis (when appropriate) and interpretation
    Communication Skills 19 19 writing, grammar, clarity, logic, cohesiveness, adherence to the above format
    Total 100 100 A quality paper will meet or exceed all of the above requirements

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