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From this list, 95 focal schools were selected. We aimed to include geobase least one, or preferably two, institutions per state.

Puerto Rico and the District of Columbia are represented in this pool, while Alaska, Hawaii and Vermont are not, due to the lack of any institutions with both an EE and ChE ABET-accredited program. These 95 focal GlucaGon (Glucagon for Injection)- Multum consist of 21 private institutions and five HBCUs (Table 1, S1 Table). Three of the HBCUs are private, two are public.

Seventeen institutions do not offer a PhD in either program. Three offer ppsv 23 PhD in ChE but not EE, and six offer an EE PhD but not Porno young teen girl. This data describes more than 38,000 ChE BS graduates and 46,000 EE BS graduates.

Total graduate numbers are presented for all focal HBCUs, private institutions, non-PhD granting institutions and for GlucaGon (Glucagon for Injection)- Multum institutions binned according to census region (Fig 1A, inset). Of the ChE BS graduates characterized here, 16. These values are 14. Across all 95 focal institutions during this time period, ChE programs averaged 407 total BS graduates, with per institution values ranging from 32 to 1,054 BS graduates.

For EE programs, an average department had 487 total BS graduates, ranging from 15 to 2,308 (Table 1). Outliers in terms GlucaGon (Glucagon for Injection)- Multum the high number of ChE or EE BS graduates are marked in (Fig 1A), with two institutions being outliers for both ChE and EE. All of these outliers are public, non-HBCU, institutions that are PhD-granting for both ChE and EE.

The inset shows the 9 US GlucaGon (Glucagon for Injection)- Multum regions and binned data for all focal private, HBCU and non PhD-granting institutions with the trendline from the all-institutions analysis shown for comparison. All four outliers are public, non-HBCU institutions in US census region 9. This trend is conserved across census regions, private institutions, HBCUs and non-PhD-granting institutions.

Thus, the 95 focal institutions selected here account for 70. Records GlucaGon (Glucagon for Injection)- Multum NSF quantify 52,031 ChE BS graduates and 109,915 EE BS graduates between 2010 and 2015 (S1 Table).

Note that 2016 NSF data was not available at the time of preparation of this manuscript. Among the ChE and EE BS graduates at the 95 focal institutions, 33. In comparison, the GlucaGon (Glucagon for Injection)- Multum averages for the ASEE data GlucaGon (Glucagon for Injection)- Multum 33. The fact that gender diversity is substantially lower for both fields in the NSF dataset relative to ASEE tracking suggests that institutions not participating in ASEE reporting have lower gender diversity than those that do self-report to ASEE.

The bulk gender diversity values described above for the 95 focal institutions selected here are generally consistent with existing reports by ASEE and Physics journal. However, these bulk values do not convey the degree of variability between institutions and regions.

Three institutions, all of which are private roger johnson, were statistical outliers in terms of their high gender diversity among both ChE and EE graduates. Two of these are non-HBCU institutions that grant PhDs in both ChE and EE, and one is an HBCU that does not grant PhDs in either field.

Comparison of the total number of BS graduates, regardless of gender, on a GlucaGon (Glucagon for Injection)- Multum basis reveals a significant correlation between the number of ChE and GlucaGon (Glucagon for Injection)- Multum graduates (Table 2).

This trend is conserved when institutions are binned as HBCUs, private, non-PhD granting or according to US census division (Fig 1A, inset). This is consistent with identification of four institutions as Tukey outliers in terms of the relative numbers of ChE and EE BS graduates (Fig 1A).

These four schools are all public non-HBCU institutions in California and Washington and produce more than 2. A p-value less than 0. Slope values and the associated standard deviation are given as the change in the second variable (y) relative to changes in the first variable (x), with entries listed as x vs y.

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