The drug 6-mP (6-mercaptopurine) is used to treat leukemia. The following data represent the length of


  1. The drug 6-mP (6-mercaptopurine) is used to treat leukemia. The following data represent the length of remission in weeks for a sample of 21 patients using 6-mP. Using more conventional chemotherapy drugs, the average length of remission is 14 days. A researcher wants to determine whether this new chemotherapy affects the length of remission in patients.
Length of remission
10 20 34
7 19 32
32 6 25
23 17 11
22 35 9
6 6 6
16 13 10
  1. State the null hypothesis.
  2. State the alternative hypothesis in symbols .
  3. What is the independent variable?
  4. What is the dependent variable?
  5. Which stat istical test is appropriate for this study ?
  6. Perform the analysis using α =.01. Based on the results, state your conclusion.
  1. The following data represent weights (pounds) of a random sample of professional football players on the following teams. Is there a difference in the team weights among these teams?
Dallas
Cowboys
Green Bay Packers Denver
Broncos
250 260 270
255 271 250
255 258 281
264 263 273
250 267 257
265 254 264
245 255 233
252 250 254
266 248 268
246 240 252
251 254 256
263 275 265
248 270 252
228 225 256
221 222 235
223 230 216
220 225 241
  1. Write the null hypothesis in symbols .
  2. State the alternative hypothesis.
  3. What is the independent variable?
  4. How many levels of the independent variable are there?
  5. What is the dependent variable?
  6. Which stat istical test is appropriate for this study ?
  7. Perform the analysis using α =.05. Based on the results, state your

conclusion.

  1. A marketing researcher wants to know whether the number of inquiries resulting from advertisements is influenced by the day of the week the ad is placed and/or by which section the ad is placed. The following data is given below:
News Business Sports
Monday 11 10 4
8 12 3
6 13 5
8 11 6
Tuesday 9 7 5
10 8 8
10 11 6
12 9 7
Wednesday 8 7 5
9 8 9
9 10 7
11 9 6
Thursday 4 9 7
5 6 6
3 8 6
5 8 5
Friday 13 10 12
12 9 10
11 9 11
14 8 12
  1. State the null hypothesis.
  2. State the alternative hypothesis.
  3. What is the independent variable?
  4. What is the dependent variable?
  5. Which stat istical test is appropriate for this study ?
  6. Perform the analysis, α =.05. Based on the results, state your conclusion.
  1. A health researcher wants to study the relationship between a patient’s weight and his/her systolic blood pressure. The following data is provided below for 11 patients.
Systolic Blood Pressure Weight in Pounds
132 173
143 184
153 194
162 211
154 196
168 220
137 188
149 188
159 207
128 167
166 217
  1. State the null hypothesis.
  2. State the alternative hypothesis.
  3. Which stat istical test is appropriate for this study ?
  4. Perform the analysis with α =.05. Based on the results, state your conclusion.
  1. A new treatment meant to help those with chronic arthritis pain was developed and tested for its long-term effectiveness. Participants in the experiment rated their level of pain on a 0 (no pain) to 9 (extreme pain) scale at three-month intervals. Was the treatment effective? α = .05.

Participant Before 3mo 6mo 9mo

1 8 7 6 6

2 6 5 5 4

3 7 6 6 5

4 5 5 4 4

  1. State the null hypothesis.
  2. State the alternative hypothesis.
  3. Which stat istical test is appropriate for this study ?
  4. Perform the analysis with α =.05. Based on the results, state your conclusion.
  1. The following data are provided for several cities, with each column heading representing the following information:
    X1 = total overall reported crime rate per 1 million residents
    X2 = reported violent crime rate per 100,000 residents
    X3 = annual police funding in $/resident
    X4 = % of people 25 years+ with 4 yrs. of high school
    X5 = % of 16 to 19 year-olds not in high school and not high school graduates.
    X6 = % of people 25 years+ with at least 4 years of college.

Is there a relationship between the variables X2-X6 and X1, the crime rate?

X1 X2 X3 X4 X5 X6
478 184 40 74 11 20
494 213 32 72 11 18
643 347 57 70 18 16
341 565 31 71 11 19
773 327 67 72 9 24
514 29 30 65 12 11
371 245 16 64 10 14
457 118 29 64 12 10
437 148 36 62 7 27
570 387 30 59 15 16
432 98 23 56 15 15
619 608 33 46 22 8
357 218 35 54 14 13
623 254 38 54 20 11
547 697 44 45 26 8
1740 3545 86 62 22 15
815 706 30 47 17 11
760 451 32 45 34 10
936 433 43 48 26 12
863 601 20 69 23 12
783 1024 55 42 23 11
715 457 44 49 18 12
1504 1441 37 57 15 13
1324 1022 82 72 22 16
940 1244 66 67 26 16
  1. Write the null hypothesis in symbols .
  2. Write the alternative hypothesis .
  3. What is /are the independent variable (s) ?
  4. What is the dependent variable?
  5. Which stat istical test is α =.05. Based on the results, state your conclusion.
  1. A pharmaceutical company has created a new medicine to control blood sugar levels. After taking the medicine for one month, a group of 70 adults is administered a fasting blood glucose test. It is known that the average fasting blood glucose level is 85. The output for a one-sample t-test is provided below.
    One-Sample Statistics
    N Mean Std. Deviation Std. Error Mean
    Glucose 70 77.9857 12.28466 1.46830
    One-Sample Test
    Test Value = 85
    t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference
    Lower Upper
    Glucose -4.777 69 .000 -7.01429 -9.9435 -4.0851

    Given the output, what is your decision regarding the effectiveness of the medicine?
    Justify your answer.
  2. The following output is from data collected regarding red fox rabies for a random sample taken in each of two different regions of southern Germany.
    Independent Samples Test
    Levene's Test for Equality of Variances t-test for Equality of Means
    F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
    Lower Upper
    Rabies
    Cases
    Equal variances assumed .330 .570 2.002 30 .054 1.6875 .8427 -.0335 3.4085
    Equal variances not assumed 2.002 29.489 .055 1.6875 .8427 -.0348 3.4098

    Based on the output of the independent samples t-test, what should you conclude? Justify your answer.
  3. S.W. Laagakos and F. Mosteller of Harvard University fed mice different doses of red dye number 40 and recorded the time of death in weeks. Results for female mice, dosage and time of death are shown in the data
    X1 = time of death for control group
    X2 = time of death for group with low dosage
    X3 = time of death for group with medium dosage
    X4 = time of death for group with high dosage

Based on the following output, what can you conclude regarding the doses of red dye and time of death? Please be detailed.

Descriptives
Death
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 11 91.3636 11.01156 3.32011 83.9660 98.7613 70.00 103.00
2.00 9 69.8889 11.85796 3.95265 60.7741 79.0037 49.00 89.00
3.00 10 71.5000 23.77323 7.51776 54.4937 88.5063 30.00 97.00
4.00 8 65.2500 28.06498 9.92247 41.7871 88.7129 34.00 102.00
Total 38 75.5526 21.42832 3.47613 68.5093 82.5959 30.00 103.00
Test of Homogeneity of Variances
Death
Levene Statistic df1 df2 Sig.
6.005 3 34 .002
ANOVA
Death
Sum of Squares df Mean Square F Sig.
Between Groups 4051.960 3 1350.653 3.550 .024
Within Groups 12937.434 34 380.513
Total 16989.395 37

(Output continued on next page)

Multiple Comparisons
Dependent Variable:Death
  1. Group
(J) Group Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval
Lower Bound Upper Bound
Tukey HSD dimension2 1.00 dimension3 2.00 21.47475 8.76763 .087 -2.2049 45.1544
3.00 19.86364 8.52311 .111 -3.1556 42.8829
4.00 26.11364 * 9.06400 .033 1.6336 50.5937
2.00 dimension3 1.00 -21.47475 8.76763 .087 -45.1544 2.2049
3.00 -1.61111 8.96273 .998 -25.8177 22.5954
4.00 4.63889 9.47857 .961 -20.9609 30.2386
3.00 dimension3 1.00 -19.86364 8.52311 .111 -42.8829 3.1556
2.00 1.61111 8.96273 .998 -22.5954 25.8177
4.00 6.25000 9.25286 .906 -18.7401 31.2401
4.00 dimension3 1.00 -26.11364 * 9.06400 .033 -50.5937 -1.6336
2.00 -4.63889 9.47857 .961 -30.2386 20.9609
3.00 -6.25000 9.25286 .906 -31.2401 18.7401
Dunnett T3 dimension2 1.00 dimension3 2.00 21.47475 * 5.16203 .004 6.2191 36.7304
3.00 19.86364 8.21826 .160 -5.4232 45.1504
4.00 26.11364 10.46320 .167 -8.4954 60.7226
2.00 dimension3 1.00 -21.47475 * 5.16203 .004 -36.7304 -6.2191
3.00 -1.61111 8.49353 1.000 -27.4147 24.1925
4.00 4.63889 10.68077 .998 -30.1382 39.4160
3.00 dimension3 1.00 -19.86364 8.21826 .160 -45.1504 5.4232
2.00 1.61111 8.49353 1.000 -24.1925 27.4147
4.00 6.25000 12.44878 .996 -31.4485 43.9485
4.00 dimension3 1.00 -26.11364 10.46320 .167 -60.7226 8.4954
2.00 -4.63889 10.68077 .998 -39.4160 30.1382
3.00 -6.25000 12.44878 .996 -43.9485 31.4485
*. The mean difference is significant at the 0.05 level.
Price: $41.58
Solution: The downloadable solution consists of 21 pages, 2058 words.
Deliverable: Word Document


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