Questions
A psychologist wanted to know if students in her class were more likely to cheat if...

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on an course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

2. Look at data set. Before running any statistical analyses, glance through the data. Which hypothesis will be supported?

DATA:

Achievement_Group Gender Cheat
1 0 20
1 0 40
1 0 49
1 0 50
1 0 51
1 0 51
1 0 52
1 0 53
1 0 58
1 1 42
1 1 48
1 1 48
1 1 52
1 1 55
1 1 55
1 1 56
1 1 59
1 1 67
1 1 80
1 1 79
2 0 19
2 0 25
2 0 20
2 0 29
2 0 24
2 0 32
2 0 25
2 0 27
2 0 30
2 0 55
2 1 40
2 1 25
2 1 27
2 1 35
2 1 42
2 1 30
2 1 30
2 1 34
2 1 40
2 0 27
3 0 60
3 0 65
3 0 69
3 0 78
3 0 79
3 0 80
3 0 80
3 0 90
3 0 95
3 0 50
3 1 55
3 1 55
3 1 60
3 1 69
3 1 70
3 1 70
3 1 88
3 1 90
3 1 90
3 1 91

In: Statistics and Probability

A psychologist wanted to know if students in her class were more likely to cheat if...

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

4. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here.

Achievement_Group Gender Cheat
1 0 20
1 0 40
1 0 49
1 0 50
1 0 51
1 0 51
1 0 52
1 0 53
1 0 58
1 1 42
1 1 48
1 1 48
1 1 52
1 1 55
1 1 55
1 1 56
1 1 59
1 1 67
1 1 80
1 1 79
2 0 19
2 0 25
2 0 20
2 0 29
2 0 24
2 0 32
2 0 25
2 0 27
2 0 30
2 0 55
2 1 40
2 1 25
2 1 27
2 1 35
2 1 42
2 1 30
2 1 30
2 1 34
2 1 40
2 0 27
3 0 60
3 0 65
3 0 69
3 0 78
3 0 79
3 0 80
3 0 80
3 0 90
3 0 95
3 0 50
3 1 55
3 1 55
3 1 60
3 1 69
3 1 70
3 1 70
3 1 88
3 1 90
3 1 90
3 1 91

In: Statistics and Probability

A psychologist wanted to know if students in her class were more likely to cheat if...

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

5. What would you conclude from this analysis? What would be your next steps, if this were your research project?

Achievement_Group Gender Cheat
1 0 20
1 0 40
1 0 49
1 0 50
1 0 51
1 0 51
1 0 52
1 0 53
1 0 58
1 1 42
1 1 48
1 1 48
1 1 52
1 1 55
1 1 55
1 1 56
1 1 59
1 1 67
1 1 80
1 1 79
2 0 19
2 0 25
2 0 20
2 0 29
2 0 24
2 0 32
2 0 25
2 0 27
2 0 30
2 0 55
2 1 40
2 1 25
2 1 27
2 1 35
2 1 42
2 1 30
2 1 30
2 1 34
2 1 40
2 0 27
3 0 60
3 0 65
3 0 69
3 0 78
3 0 79
3 0 80
3 0 80
3 0 90
3 0 95
3 0 50
3 1 55
3 1 55
3 1 60
3 1 69
3 1 70
3 1 70
3 1 88
3 1 90
3 1 90
3 1 91

In: Statistics and Probability

A psychologist wanted to know if students in her class were more likely to cheat if...

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course score on the previous three course-testings. She then asked them to rate how likely they were to cheat on an course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

  1. Before opening the data, what would you hypothesize about this research question?
  2. Achievement_Group Gender Cheat
    1 0 20
    1 0 40
    1 0 49
    1 0 50
    1 0 51
    1 0 51
    1 0 52
    1 0 53
    1 0 58
    1 1 42
    1 1 48
    1 1 48
    1 1 52
    1 1 55
    1 1 55
    1 1 56
    1 1 59
    1 1 67
    1 1 80
    1 1 79
    2 0 19
    2 0 25
    2 0 20
    2 0 29
    2 0 24
    2 0 32
    2 0 25
    2 0 27
    2 0 30
    2 0 55
    2 1 40
    2 1 25
    2 1 27
    2 1 35
    2 1 42
    2 1 30
    2 1 30
    2 1 34
    2 1 40
    2 0 27
    3 0 60
    3 0 65
    3 0 69
    3 0 78
    3 0 79
    3 0 80
    3 0 80
    3 0 90
    3 0 95
    3 0 50
    3 1 55
    3 1 55
    3 1 60
    3 1 69
    3 1 70
    3 1 70
    3 1 88
    3 1 90
    3 1 90
    3 1 91

In: Statistics and Probability

A psychologist wanted to know if students in her class were more likely to cheat if...

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

3. Conduct descriptive analyses and report them here.

Achievement_Group Gender Cheat
1 0 20
1 0 40
1 0 49
1 0 50
1 0 51
1 0 51
1 0 52
1 0 53
1 0 58
1 1 42
1 1 48
1 1 48
1 1 52
1 1 55
1 1 55
1 1 56
1 1 59
1 1 67
1 1 80
1 1 79
2 0 19
2 0 25
2 0 20
2 0 29
2 0 24
2 0 32
2 0 25
2 0 27
2 0 30
2 0 55
2 1 40
2 1 25
2 1 27
2 1 35
2 1 42
2 1 30
2 1 30
2 1 34
2 1 40
2 0 27
3 0 60
3 0 65
3 0 69
3 0 78
3 0 79
3 0 80
3 0 80
3 0 90
3 0 95
3 0 50
3 1 55
3 1 55
3 1 60
3 1 69
3 1 70
3 1 70
3 1 88
3 1 90
3 1 90
3 1 91

In: Statistics and Probability

More than three-quarters of the nation's colleges and universities now offer online classes, and about 23%...

More than three-quarters of the nation's colleges and universities now offer online classes, and about 23% of college graduates have taken a course online. 39% of those who have taken a course online believe that online courses provide the same educational value as one taken in person, a view shared by only 27% of those who have not taken an online course. At a coffee shop you overhear a recent college graduate discussing that she doesn't believe that online courses provide the same educational value as one taken in person. What's the probability that she has taken an online course before? (Round to four decimal places if necessary.)

In: Statistics and Probability

Tenants at a large apartment complex recently filed a lawsuit alleging racial steering. The plaintiffs claimed...

Tenants at a large apartment complex recently filed a lawsuit alleging racial steering. The plaintiffs claimed that white potential renters were steered to Section​ A, while black renters were steered to Section B. The table displays the data that were presented in court to show the locations of recently rented apartments. Do you think there is evidence of racial​ steering?

white black

Section A 94 25

Section B 87 27

Compute the​ chi-square statistic.

chi squared χ2=__

​(Round to two decimal places as​ needed.)

Find the​ P-value.

The​ P-value is__

​(Round to three decimal places as​ needed.)

Based on these​ results, what is your​ conclusion?

In: Statistics and Probability

Plato Company reports the following for the month of June. Date Explanation Units Unit Cost Total...

Plato Company reports the following for the month of June.

Date

Explanation

Units

Unit Cost

Total Cost

June   1

Inventory

225

$5

$1,125

        12

Purchase

525

6

3,150

        23

Purchase

750

7

5,250

        30

Inventory

330

Instructions

(a)    Calculate the cost of the ending inventory and the cost of goods sold for each cost flow assumption [LIFO,FIFO], using a perpetual inventory system. Assume a sale of 570 units occurred on June 15 for a selling price of $8 and a sale of 600 units on June 27 for $9. (Note: For the average-cost method, round unit cost to three decimal places.)

In: Accounting

To study the effect of temperature on yield in a chemical process, five batches were produced...

To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.

Temperature

50°C 60°C 70°C
33 29 27
23 30 32
35 33 32
38 22 34
31 26 35
  1. Construct an analysis of variance table (to 2 decimals, if necessary). Round p-value to four decimal places.
    Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value
    Treatments
    Error
    Total

  2. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process.

In: Statistics and Probability

You are considering how to invest part of your retirement savings. You have decided to put...

You are considering how to invest part of your retirement savings. You have decided to put 500,000 into three stocks:

51% of the money in GoldFinger(Currently $27/share), 17% of the money in Moosehead(currently $98/share), and the remainder in Venture Associates(currently $5/share). Suppose GoldFinger stock goes up to $39/share, Moosehead stock drops to $64/share, and Venture Associates stock rises to $19 per share.

a. What is the new value of the portfolio?

b.What return did the portfolio earn?

c.If you don't buy or sell any shares after the price change, what are your new portfolio weights?

In: Finance