Publications by Neal Quizon
ExpMidterm
Question I A COVID frontliner wants to estimate the average amount that a resident in Maramag would donate to COVID affected families in Maramag. Twenty residents were randomly selected from the Municipality of Maramag. The 20 randomly residents were contacted by telephone and asked how much they would be willing to donate. Their responses ar...
1939 sym
Stat23Assignment
Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Min. 1st Qu. Median Mean 3rd Qu. Max. 16.00 18.00 18.00 18.22 18.00 22.00 Socio-Demographic Profile #Type of Family `summaris...
995 sym Python (5843 sym/19 pcs)
Stat23Demo
Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union tibble [60 × 24] (S3: tbl_df/tbl/data.frame) $ Respondents : num [1:60] 1 2 3 4 5 6 7 8 9 10 ... $ Type of Family: chr [1:60] "Broken Family" "B...
998 sym Python (7419 sym/20 pcs)
Barrigaoutput
# A tibble: 36 × 4 `Plant Parts` TAA TPC TFC <chr> <dbl> <dbl> <dbl> 1 Leaves 1365. 125. 466. 2 Leaves 1371. 121. 467. 3 Leaves 1426. 117. 471. 4 Leaves 1529. 128. 494. 5 Leaves 1404. 123. 474. 6 Leaves 1450. 120. 482. 7 Leaves 1402. 124. 505. 8 ...
957 sym Python (6361 sym/34 pcs) 1 img
Kortezor
# A tibble: 39 × 2 `Test Sample` `%Inhibition` <chr> <dbl> 1 Leaves 57.0 2 Leaves 64.0 3 Leaves 57.4 4 Leaves 59.7 5 Leaves 45.4 6 Leaves 45.7 7 Leaves 51.6 8 Leaves 40.9 9 Leav...
530 sym 1 img
Buagasgroup
Socio-Demographic Profile #Gender Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Age Year Level Marital Status Available Gadgets Internet Connection Family Size Type of Community Family Mont...
484 sym Python (1589 sym/7 pcs)
Barrigacomplete
# A tibble: 36 × 4 `Plant Parts` TAA TPC TFC <chr> <dbl> <dbl> <dbl> 1 Leaves 1365. 125. 466. 2 Leaves 1371. 121. 467. 3 Leaves 1426. 117. 471. 4 Leaves 1529. 128. 494. 5 Leaves 1404. 123. 474. 6 Leaves 1450. 120. 482. 7 Leaves 1402. 124. 505. 8 ...
1377 sym Python (10096 sym/49 pcs) 1 img
MA3Demo
# A tibble: 36 × 4 `Plant Parts` TAA TPC TFC <chr> <dbl> <dbl> <dbl> 1 Leaves 1365. 125. 466. 2 Leaves 1371. 121. 467. 3 Leaves 1426. 117. 471. 4 Leaves 1529. 128. 494. 5 Leaves 1404. 123. 474. 6 Leaves 1450. 120. 482. 7 Leaves 1402. 124. 505. 8 ...
1379 sym Python (11128 sym/51 pcs) 1 img
Kortezor
# A tibble: 39 × 2 `Test Sample` `%Inhibition` <chr> <dbl> 1 Leaves 57.0 2 Leaves 64.0 3 Leaves 57.4 4 Leaves 59.7 5 Leaves 45.4 6 Leaves 45.7 7 Leaves 51.6 8 Leaves 40.9 9 Leav...
881 sym Python (4246 sym/16 pcs) 1 img
DaLabs
New names: • `` -> `...1` • `PRETEST` -> `PRETEST...4` • `POST TEST` -> `POST TEST...5` • `PRETEST` -> `PRETEST...7` • `POST TEST` -> `POST TEST...8` • `PRETEST` -> `PRETEST...10` • `POST TEST` -> `POST TEST...11` • `PRETEST` -> `PRETEST...13` • `POST TEST` -> `POST TEST...14` # A tibble: 48 × 15 ...1 Students ...
379 sym Python (16436 sym/29 pcs) 3 img