A quick refresher course for those who have had statistical training in the past or a fast-paced introduction to basic statistics for beginners. Statistical measures such as percentages, averages, frequency and standard error are used widely. But how are they calculated, and exactly what do they tell us? This one day workshop will help participants develop an appreciation of the potential of statistics and a critical eye of when and how they should or shouldn't be used.

Frequencies and percentages of health communication outcomes.

Whilst newspapers in general are no longer an especially popular source of news for the American public, engagement varies according to the type of publication. Local newspapers are read more frequently than nationals, with over 10 percent of U.S. adults responding to an August 2022 survey saying they read local papers every day.

Local vs. national news: which do readers prefer?

A survey held in 2022 found that although trust in news dropped since 2016, local news is still considered more trustworthy than national news. Indeed, the most recently available data shows that only a small percentage of U.S. adults trusted national news to report the news without bias, at 14 percent – less than half the share who had faith in local news to report in a nonpartisan manner. Local news was also considered more reliable for information about voting, getting the facts right, and giving consumers news they can use.

Waning trust in news

Trust in the media to report accurately and fairly is shaky. In 2022, almost 70 percent of U.S. adults had little to no trust in the news media, up by around 20 percent since 2000. Audiences unsure whether they can rely on news outlets to deliver the facts can suffer from news fatigue. Indeed, almost a third of consumers worldwide avoid news due to bias or finding it untrustworthy.

a MAF for minor allele frequency.

Frequency lists of words were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all words occurring in the corpus along with their absolute and relative frequencies, percentages, and distribution across the text-types included in the corpus taxonomy.

The lists were extracted for each part-of-speech category. For each part-of-speech, two lists were extracted:

1) one containing lemmas and their text-type distribution,

2) one containing lower-case word forms as well as their standardized forms, lemmas, and morphosyntactic tags along with their text-type distribution.

In addition, four lists were extracted from all words (regardless of their part-of-speech category):

1) a list of all lemmas along with their part-of-speech category and text-type distribution;

2) a list of all lower-case word forms with their lemmas, part-of-speech categories, and text-type distribution;

3) a list of all lower-case word forms with their standardized word forms, lemmas, part-of-speech categories, and text-type distribution;

4) a list of all morphosyntactic tags and their text-type distribution (the tags are also split into several columns).

Compared to the previous version (http://hdl.handle.net/11356/1269), this one includes fixes of several typos and substitutes all instances of "normalized forms" with the more adequate term "standardized forms" (as used in the SSJ project).

Frequency lists of word-level n-grams (or word sets) were extracted from the Gigafida 2.0 Corpus of Written Standard Slovene (https://viri.cjvt.si/gigafida/) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all word-level 2-, 3-, 4- and 5-grams with minimum relative frequency of 2 per million occurring in the corpus, along with their absolute and relative frequencies, percentages, distribution across the text-types included in the corpus taxonomy, and five collocation measures: Dice, t-score, MI, MI3, logDice, and simple LL.

The n-grams were extracted from lower-case word forms and morphosyntactic tags.

For large lists, shortened versions with the first 150,000 lines were also prepared to facilitate further processing in spreadsheet analysis software.

Frequency lists of words split into word parts were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all lemmas, lower-case word forms or standardized word forms occurring in the corpus, split into their initial or final part (i.e. the initial or final string of 1, 2, 3, 4 or 5 characters in the word) and the rest. In addition, the lists also contain absolute and relative frequencies, percentages, and distribution across the text-types included in the corpus taxonomy.

The lists were extracted for each part-of-speech category. For each part-of-speech, a total of 30 lists were extracted:

1) 10 lists for initial or final word parts extracted from lemmas,

2) 10 lists for initial or final word parts extracted from lower-case word forms,

3) 10 lists for initial or final word parts extracted from standardized word forms.

In addition, 30 lists were extracted from all words (regardless of their part-of-speech category).

Compared to the previous version (http://hdl.handle.net/11356/1270), this one includes fixes of several typos and substitutes all instances of "normalized forms" with the more adequate term "standardized forms" (as used in the SSJ project).

This statistic depicts the projected percentage of cannabis consumption attributed to select frequencies of use, in Canada, by 2021. According to the data, 72 percentage of cannabis consumption in Canada will be attributed to daily consumption by 2021.

Disability, Independence and Dependency Situations Survey: Percentage of persons with disabilities, according to the frequency of visits from relatives and friends, by group of disability and sex. National.

Disability, Independence and Dependency Situations Survey: Percentage of persons with disabilities, according to the frequency of contact, by telephone or by post, with relatives and friends, by group of disability and sex. National.

Survey on Equipment and Use of Information and Communication Technologies in Households: Frequency of use of computer in last 3 months by absolute value/percentage, sociodemographic characteristics and frequency. National.

Frequency lists of word-level n-grams (or word sets) were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all word-level 2-, 3-, 4- and 5-grams occurring in the corpus along with their absolute and relative frequencies, percentages, distribution across the text-types included in the corpus taxonomy, and five collocation measures: Dice, t-score, MI, MI3, logDice, and simple LL.

The n-grams were extracted from lower-case word forms, normalized word forms, and morphosyntactic tags.

For large lists, shortened versions with the first 150,000 lines were also prepared to facilitate further processing in spreadsheet analysis software.

Economically Active Population Survey: Employees by frequency with which they work Saturdays, sex and age group. Absolute values and percentages. Annual. National.

Survey on Equipment and Use of Information and Communication Technologies in Households: Frequency of Internet use in last 3 months by absolute value/percentage, sociodemographic characteristics and frequency. National.

Frequency percentages of grain types in Type J quartzose-feldspathic tempers based on band traverse counts of 400 grains per thin section. VRF is volcanic lithic fragments. *Recalculated exclusive of 3% calcareous grains; also includes 1% aggregate epidote grains

This dataset is about: (Supplement Table 4) Percentage frequency of plants recorded at the Primary Site on Disko Island. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.808157 for more information.

Analysis of ‘Freelance workers by frequency with which they work at private home, sex and age group. Absolute values and percentages with respects to the total of each frequency with which they work at private home. EPA (API identifier: 37451)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-330-37451 on 07 January 2022.

--- Dataset description provided by original source is as follows ---

Table of INEBase Freelance workers by frequency with which they work at private home, sex and age group. Absolute values and percentages with respects to the total of each frequency with which they work at private home. Quarterly. National. Economically Active Population Survey

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Employed population by frequency with which they work Saturdays, sex and age group. Absolute values and percentages. EPA (API identifier: 36972)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-347-36972 on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Table of INEBase Employed population by frequency with which they work Saturdays, sex and age group. Absolute values and percentages. Annual. National. Economically Active Population Survey

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Freelance workers by frequency with which they work Saturdays, sex and age group. Absolute values and percentages regarding the total of each frequency with which they work Saturdays. EPA (API identifier: 5128)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-347-5128 on 07 January 2022.

--- Dataset description provided by original source is as follows ---

Table of INEBase Freelance workers by frequency with which they work Saturdays, sex and age group. Absolute values and percentages regarding the total of each frequency with which they work Saturdays. Annual. National. Economically Active Population Survey

--- Original source retains full ownership of the source dataset ---

Frequency percentages of grain types in Type G pyroxenic tempers based on band traverse counts of 400 grains per thin section (arranged in order of increasing placering effects). VRF is volcanic lithic fragments. *1% biotite mica flakes also present **Traces of biotite mica also present ***Recalculated exclusive of ~40% calcareous grains ****Recalculated exclusive of 18% calcareous grains, 1% orthopyroxene also present