STAT50 MIDTERM
MARSHA ELLA L. MACEREN
2023-03-21
Question # 1
`summarise()` has grouped output by 'School'. You can override using the
`.groups` argument.# A tibble: 7 × 4
# Groups: School [2]
School AveFKFrequency Frequency Percentage
<chr> <chr> <int> <dbl>
1 VCCS Above Average 41 66.1
2 VCCS Average 7 11.3
3 VCCS Excellent 14 22.6
4 VNHS Above Average 68 70.8
5 VNHS Average 7 7.29
6 VNHS Below Average 2 2.08
7 VNHS Excellent 19 19.8 Question # 2
`summarise()` has grouped output by 'School'. You can override using the
`.groups` argument.# A tibble: 8 × 4
# Groups: School [2]
School AveSCFrequency Frequency Percentage
<chr> <chr> <int> <dbl>
1 VCCS Above Average 38 61.3
2 VCCS Average 14 22.6
3 VCCS Below Average 1 1.61
4 VCCS Excellent 9 14.5
5 VNHS Above Average 58 60.4
6 VNHS Average 24 25
7 VNHS Below Average 1 1.04
8 VNHS Excellent 13 13.5 Question # 3
`summarise()` has grouped output by 'School'. You can override using the
`.groups` argument.# A tibble: 9 × 4
# Groups: School [2]
School AvePIFrequency Frequency Percentage
<chr> <chr> <int> <dbl>
1 VCCS Above Average 39 62.9
2 VCCS Average 15 24.2
3 VCCS Below Average 1 1.61
4 VCCS Excellent 7 11.3
5 VNHS Above Average 49 51.0
6 VNHS Average 34 35.4
7 VNHS Below Average 7 7.29
8 VNHS Excellent 5 5.21
9 VNHS Very Poor 1 1.04Question #4
`summarise()` has grouped output by 'School'. You can override using the
`.groups` argument.# A tibble: 7 × 4
# Groups: School [2]
School AveRRFrequency Frequency Percentage
<chr> <chr> <int> <dbl>
1 VCCS Above Average 43 69.4
2 VCCS Average 11 17.7
3 VCCS Excellent 8 12.9
4 VNHS Above Average 67 69.8
5 VNHS Average 21 21.9
6 VNHS Below Average 3 3.12
7 VNHS Excellent 5 5.21# A tibble: 192 × 11
PhaseInterval Tempe…¹ ...6 ...7 ...8 ...9 ...10 ...11 ...12 Phase CFUco…²
<chr> <chr> <lgl> <lgl> <chr> <chr> <chr> <chr> <chr> <fct> <dbl>
1 3- day 25°C NA NA <NA> <NA> <NA> <NA> <NA> Adla… 759
2 3- day 25°C NA NA Conc… dip Day Weig… Color Adla… 736
3 3- day 25°C NA NA 1 15 4 <NA> <NA> Adla… 891
4 3- day 30°C NA NA 1 15 4 <NA> <NA> Adla… 573
5 3- day 30°C NA NA 1 15 4 <NA> <NA> Adla… 584
6 3- day 30°C NA NA 1 15 4 <NA> <NA> Adla… 482
7 3- day 35°C NA NA 1 30 4 <NA> <NA> Adla… 384
8 3- day 35°C NA NA 1 30 4 <NA> <NA> Adla… 264
9 3- day 35°C NA NA 1 30 4 <NA> <NA> Adla… 208
10 5-day 25°C NA NA 1 30 4 <NA> <NA> Adla… 888
# … with 182 more rows, and abbreviated variable names ¹Temperature, ²CFUcountQuestion # 5
# A tibble: 3 × 5
PhaseInterval variable n mean sd
<chr> <fct> <dbl> <dbl> <dbl>
1 3- day CFUcount 26 488. 264.
2 5-day CFUcount 27 284. 269.
3 7-day CFUcount 27 182. 271.Question # 6
# A tibble: 3 × 5
Temperature variable n mean sd
<chr> <fct> <dbl> <dbl> <dbl>
1 25°C CFUcount 27 480. 353.
2 30°C CFUcount 26 235. 194.
3 35°C CFUcount 27 229. 243.Question # 7
# A tibble: 3 × 5
Phase variable n mean sd
<fct> <fct> <dbl> <dbl> <dbl>
1 Adlay with milk CFUcount 26 190 232.
2 Adlay with milk and molasses CFUcount 27 293. 261.
3 Adlay with wash CFUcount 27 459. 323.Question # 8
# A tibble: 9 × 6
PhaseInterval Temperature variable n mean sd
<chr> <chr> <fct> <dbl> <dbl> <dbl>
1 3- day 25°C CFUcount 9 641. 244.
2 3- day 30°C CFUcount 8 347. 187.
3 3- day 35°C CFUcount 9 459. 282.
4 5-day 25°C CFUcount 9 460. 346.
5 5-day 30°C CFUcount 9 250. 218.
6 5-day 35°C CFUcount 9 142. 98.7
7 7-day 25°C CFUcount 9 340. 416.
8 7-day 30°C CFUcount 9 120. 108.
9 7-day 35°C CFUcount 9 85.4 104. Question # 9
# A tibble: 9 × 6
Temperature Phase variable n mean sd
<chr> <fct> <fct> <dbl> <dbl> <dbl>
1 25°C Adlay with milk CFUcount 9 243. 230.
2 25°C Adlay with milk and molasses CFUcount 9 416. 330.
3 25°C Adlay with wash CFUcount 9 783. 267.
4 30°C Adlay with milk CFUcount 8 84 57.6
5 30°C Adlay with milk and molasses CFUcount 9 193. 98.9
6 30°C Adlay with wash CFUcount 9 410. 213.
7 35°C Adlay with milk CFUcount 9 232. 309.
8 35°C Adlay with milk and molasses CFUcount 9 269. 271.
9 35°C Adlay with wash CFUcount 9 186. 135. Question # 10
#Data 1:
School AveFKFrequency Frequency Percentage NumberofResponses
1 VCCS Above Average 41 66.13 41
2 VCCS Average 7 11.29 7
3 VCCS Excellent 14 22.58 14
4 VNHS Above Average 68 70.83 68
5 VNHS Average 7 7.29 7
6 VNHS Below Average 2 2.08 2
7 VNHS Excellent 19 19.79 19
#Data 2:
