1 7.94 111 2 54 2 8.292 119 2 63 3 4.643 96 2 36 4 7.47 115 2 50 5 8.882 117 1 46 6 7.585 101 2 67 7 7.65 129 2 47 8 2.412 82 2 43 9 6 108 1 54 10 8.833 112 2 67 11 7.47 120 1 41 12 5.528 93 1 35 13 7.167 110 2 50 14 7.571 100 1 80 15 4.7 101 1 38 16 8.167 114 1 45 17 7.822 113 1 54 18 7.598 113 1 61 19 4 108 2 42 20 6.231 107 1 72 21 7.643 120 2 54 22 1.76 78 2 58 24 6.419 112 1 53 26 9.648 123 2 69 27 10.7 119 1 56 28 10.58 124 2 60 29 9.429 114 2 64 30 8 120 2 40 31 9.585 120 2 63 32 9.571 106 1 51 33 8.998 124 1 46 34 8.333 102 1 45 35 8.175 114 2 63 36 8 119 2 44 37 9.333 108 1 65 38 9.5 108 2 67 39 9.167 118 2 66 40 10.14 106 1 72 41 9.999 114 1 57 43 10.76 132 2 51 44 9.763 114 2 67 45 9.41 117 2 63 46 9.167 138 2 78 47 9.348 127 2 60 48 8.167 102 2 64 50 3.647 92 2 47 51 3.408 102 1 36 52 3.936 90 2 36 53 7.167 101 2 51 54 7.647 117 2 72 55 .53 90 2 39 56 6.173 87 2 54 57 7.295 94 2 57 58 7.295 122 1 63 59 8.938 101 1 55 60 7.882 118 1 53 61 8.353 120 2 64 62 5.062 108 2 49 63 8.175 104 2 56 64 8.235 109 2 75 65 7.588 122 2 52 68 7.647 100 2 82 69 5.237 101 1 49 71 7.825 117 2 73 72 7.333 91 1 59 74 9.167 130 2 60 76 7.996 103 2 54 77 8.714 95 1 41 78 7.833 106 1 80 79 4.885 89 2 49 80 7.998 118 1 48 83 3.82 74 2 68 84 5.936 91 1 49 85 9 105 1 59 86 9.5 125 1 54 87 6.057 119 2 46 88 6.057 100 1 43 89 6.938 107 2 82

contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.)

1 7.94 111 2 54 2 8.292 119 2 63 3 4.643 96 2 36 4 7.47 115 2 50 5 8.882 117 1 46 6 7.585 101 2 67 7 7.65 129 2 47 8 2.412 82 2 43 9 6 108 1 54 10 8.833 112 2 67 11 7.47 120 1 41 12 5.528 93 1 35 13 7.167 110 2 50 14 7.571 100 1 80 15 4.7 101 1 38 16 8.167 114 1 45 17 7.822 113 1 54 18 7.598 113 1 61 19 4 108 2 42 20 6.231 107 1 72 21 7.643 120 2 54 22 1.76 78 2 58 24 6.419 112 1 53 26 9.648 123 2 69 27 10.7 119 1 56 28 10.58 124 2 60 29 9.429 114 2 64 30 8 120 2 40 31 9.585 120 2 63 32 9.571 106 1 51 33 8.998 124 1 46 34 8.333 102 1 45 35 8.175 114 2 63 36 8 119 2 44 37 9.333 108 1 65 38 9.5 108 2 67 39 9.167 118 2 66 40 10.14 106 1 72 41 9.999 114 1 57 43 10.76 132 2 51 44 9.763 114 2 67 45 9.41 117 2 63 46 9.167 138 2 78 47 9.348 127 2 60 48 8.167 102 2 64 50 3.647 92 2 47 51 3.408 102 1 36 52 3.936 90 2 36 53 7.167 101 2 51 54 7.647 117 2 72 55 .53 90 2 39 56 6.173 87 2 54 57 7.295 94 2 57 58 7.295 122 1 63 59 8.938 101 1 55 60 7.882 118 1 53 61 8.353 120 2 64 62 5.062 108 2 49 63 8.175 104 2 56 64 8.235 109 2 75 65 7.588 122 2 52 68 7.647 100 2 82 69 5.237 101 1 49 71 7.825 117 2 73 72 7.333 91 1 59 74 9.167 130 2 60 76 7.996 103 2 54 77 8.714 95 1 41 78 7.833 106 1 80 79 4.885 89 2 49 80 7.998 118 1 48 83 3.82 74 2 68 84 5.936 91 1 49 85 9 105 1 59 86 9.5 125 1 54 87 6.057 119 2 46 88 6.057 100 1 43 89 6.938 107 2 82

contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.)

DATA

3
8
2
15
2
2
0
0
4
5
2
7
0
1
5
3
0
2
5
4
1
6
9
5
3
1
2
10
6
1
1
2
1
19
6
6
6
7
0
4
1
1
1
0
1
9
2
2
2
1
16
10
10
5
2
3
1
4
4
4
3
6
2
8
5
2
7
1
6
4
0
3
1
1
1

Background:

A group of 75 college students from a certain liberal arts college were randomly sampled and asked about the number of alcoholic drinks they have in a typical week. The file containing the data is linked below. The purpose of this study was to compare the drinking habits of the students at the college to the drinking habits of college students in general. In particular, the dean of students, who initiated this study, would like to check whether the mean number of alcoholic drinks that students at his college have in a typical week differs from the mean of U.S. college students in general, which is estimated to be 4.73.

Question 1:

Let μ be the mean number of alcoholic beverages that students in the college drink in a typical week. State the hypotheses that are being tested in this problem.

Question 2:

Here is a histogram of the data. Can we safely use the t-test with this data?

Instructions

Click on the link corresponding to your statistical package to see instructions for completing the activity, and then answer the questions below.

R | StatCrunch | Minitab | Excel 2007 | TI Calculator

Question 3:

State the test statistic and interpret its value.

Question 4:

Based on the P-value, draw your conclusions in context.

Question 5:

What would your conclusions be if the dean of students suspected that the mean number of alcoholic drinks that students in the college consume in a typical week is lower than the mean of U.S. college students in general? In other words, if this were a test of the hypotheses:

H₀: μ = 4.73 drinks per week

H_a: μ < 4.73 drinks per week

Question 6:

Now suppose that instead of the 75 students having been randomly selected from the entire student body, the 75 students had been randomly selected only from the engineering classes at the college (for the sake of convenience).

Address the following two issues regarding the effect of such a change in the study design:

a. Would we still be mathematically justified in using the T-test for obtaining conclusions, as we did previously?

b. Would the resulting conclusions still address the question of interest (which, remember, was to investigate the drinking habits of the students at the college as whole)?

Arrange the following alkenes in order of decreasing stability.

1. 1-pentene 2. cis-2-pentene 3. trans-2-pentene 4. 2-methyl-2-butene

Required information

PA4-4 Identifying and Preparing Adjusting Journal Entries [LO 4-1, LO 4-2, LO 4-3, LO 4-6]

[The following information applies to the questions displayed below.]

Val’s Hair Emporium operates a hair salon. Its unadjusted trial balance as of December 31, 2018, follows, along with information about selected accounts.

PA4-4 Part 1

Required:

1. Prepare the (preliminary) unadjusted net income statement for the year ended December 31, 2018.

I have

Revunues

Service Revunue $59,500

Total Revnues 59,500

Expenses

Salaries and wages Expense 28,100

Utilities Expense 11,200

Rent Expense 10,000

Supplies Expense 3800

Income Tax Expense 0

Total Expenses 53,100

Net Income 6400

Now part 2

Name the five pairs of balance sheet and income statement accounts that require adjustment and indicate the amount of adjustment for each pair.

1 Supplies - Supplies Expense Amount $2500

2 Prepaid Rent - Rent Expense $2000

3 Accounts Payable Utilities Expense $350

4 Salaries and wages payable- Salaries and wages expense $100

5 Income tax payable - income tax expense $0

part 3

PA4-4 Part 3

3. Prepare the adjusting journal entries that are required at December 31, 2018. (If no entry is required for a transaction/event, select "No Journal Entry Required" in the first account field.

Not sure on this part or how to get income tax payable, any help would be greatly appreciated

PA4-4 Part 4

1. 4-a. Prepare the adjusted net income that the company should report for the year ended December 31, 2018.
2. 4-b. By what dollar amount did the adjustments in requirement (3) cause net income to increase or decrease?

and this is the end of the question I need to order each one in steps 1,2,3,4 I appreciate the help a lot it will help me learn how to solve this thanks!

4. The check digit for ISBNs is one of the numbers 0, 1, 2, . . . , 9, or the letter X. One of the your fellow students comments ”Gee, it sure is a pain to have to use that X all time. Why don’t they just compute the check digit sum modulo 10 instead of modulo 11, so that we can get rid of the X?” Would this plan work? Prove your answer.

Assume that all ISBNs are 10 digits with the tenth digit the check digit. I know that using modulo 10 to compute the check digit will catch single digit errors, but it will not always catch errors regarding transposition of numbers in the ISBN. I am having a difficult time proving that the transposition errors will not always be caught.

Find the Taylor polynomial for 1/x^2 centered at c=4.

4. The following is Jim’s production function for wheat.

I                 1               2               3               4               5               6               7               8               9               10

TP             2               3.7           5.2           6.6           7.9           9.15        10.35     11.5        12.6        13.65

a. What is Jim’s demand for loanable wheat as a function of the real interest rate?

b. What is Jim’s demand for loanable funds, as a function of the nominal interest rate, if the price of wheat is $10 today and will be $10 next year?

c. What is Jim’s demand for loanable funds, as a function of the nominal interest rate if the price of wheat is $10 today and will be $11 next year?

I am a bit confused about these ones

1. Cataract

2. Retinopathy

3. Glaucoma

4. Macular Degeneration