library(tidyverse)
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library(readxl)

data<-read_excel("district.xls")
head(data)
## # A tibble: 6 × 137
##   DISTNAME DISTRICT DZCNTYNM REGION DZRATING DZCAMPUS DPETALLC DPETBLAP DPETHISP
##   <chr>    <chr>    <chr>    <chr>  <chr>       <dbl>    <dbl>    <dbl>    <dbl>
## 1 CAYUGA … 001902   001 AND… 07     A               3      574      4.4     11.5
## 2 ELKHART… 001903   001 AND… 07     A               4     1150      4       11.8
## 3 FRANKST… 001904   001 AND… 07     A               3      808      8.5     11.3
## 4 NECHES … 001906   001 AND… 07     A               2      342      8.2     13.5
## 5 PALESTI… 001907   001 AND… 07     B               6     3360     25.1     42.9
## 6 WESTWOO… 001908   001 AND… 07     B               4     1332     19.7     26.2
## # ℹ 128 more variables: DPETWHIP <dbl>, DPETINDP <dbl>, DPETASIP <dbl>,
## #   DPETPCIP <dbl>, DPETTWOP <dbl>, DPETECOP <dbl>, DPETLEPP <dbl>,
## #   DPETSPEP <dbl>, DPETBILP <dbl>, DPETVOCP <dbl>, DPETGIFP <dbl>,
## #   DA0AT21R <dbl>, DA0912DR21R <dbl>, DAGC4X21R <dbl>, DAGC5X20R <dbl>,
## #   DAGC6X19R <dbl>, DA0GR21N <dbl>, DA0GS21N <dbl>, DDA00A001S22R <dbl>,
## #   DDA00A001222R <dbl>, DDA00A001322R <dbl>, DDA00AR01S22R <dbl>,
## #   DDA00AR01222R <dbl>, DDA00AR01322R <dbl>, DDA00AM01S22R <dbl>, …

Correlation between number of economically disadvantaged students and assessment scores/performance indicators.

selected_data<-data %>% select(DPETPCIP, DA0AT21R)
Cor_matrix <- cor(selected_data, use = "complete.obs")
Cor_matrix
##              DPETPCIP     DA0AT21R
## DPETPCIP  1.000000000 -0.008076046
## DA0AT21R -0.008076046  1.000000000
pairs(selected_data)

I will now find the correlation using Pearson between two variables … number of economically disadvantaged students & number of gifted and talented students.

x1<-data$DPETPCIP
x2<-data$DPETGIFP
pearson_corr<- cor(x1, x2, method="pearson")
pearson_corr
## [1] 0.01306929

I chose the Pearson method since the two varibles I was trying to measure a linear relationship.

Since this number is close to 0, this means that being economically disadvantaged does not have a strong linear relationship and doesn’t correspond with being gifted and talented.

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