ANSC 3011 EXAM 1|ALL QUESTIONS AND ANSWERS LATEST 2025
1. Statistics ANS >> classification, analysis and interpretation of data
collection of procedures/principles to gain & process info to make decisions when faced w/ UNCERTAINTY
2. Other names for animal statistics ANS >> biostatistics, biometrics, biometry
(stat methods applied to biosciences)
3. Why's Statistics Important? ANS >> - we're bombarded w/ statistical info; don't want to take info on face-
value
- stats is used to attect public opinion
- info can be easily misinterpreted, manipulated, invalid
4. With Statistical Knowledge, you are able to ANS >>
1.
2.
3. ANS >> 1. question stats provided
2. decide if data is credible
3. decide if data will influence your current or future decisions
5. By the end of this course you should ANS >> ANS >> - understand the importance of data and
the source of data
1/
,- be skeptical/not jump to conclusions
- interpret stat results & come up with your own conclusions
- understand ditt b/t stat significant and biological relevance
6. Statistical Significance DOES NOT indicate ANS >>
-
-
- ANS >> - magnitude
- relevance
- happenings by chance
7. Data ANS >> records of measurements & counts of observations
8. Variable ANS >> characteristic of a subject
ex ANS >> calf body weights, feed per gain in pigs, breed of horses
9. Variables can be classified as ANS >> ANS >> quantitative numeric
- body weight, age, feed intake, time, temp, litter size, egg count
2/
, categorical qualitative
- ex ANS >> eye color, pregnancy status (open vs pregnant), BCS
10. Population ANS >> entire group about which researchers want information
- represents all members of a certain group or category of interest
11. Sample ANS >> subset of the larger population
12. 2 ways to find average milk production of dairy cows at dairy barn ANS >> ANS
>> - measure all cows at dairy barn (population)
- randomly select subset of dairy cows (sample)
13. Parameter vs Statistic ANS >> Parameter (p) ANS >>
- mean calculated from a population
- number that describes a POPULATION (fixed number)
- value usually unknown
Statistic (p-hat) ANS >>
- mean calculated from sample
- not a fixed number (changes from SAMPLE to sample)
3
mm/
1. Statistics ANS >> classification, analysis and interpretation of data
collection of procedures/principles to gain & process info to make decisions when faced w/ UNCERTAINTY
2. Other names for animal statistics ANS >> biostatistics, biometrics, biometry
(stat methods applied to biosciences)
3. Why's Statistics Important? ANS >> - we're bombarded w/ statistical info; don't want to take info on face-
value
- stats is used to attect public opinion
- info can be easily misinterpreted, manipulated, invalid
4. With Statistical Knowledge, you are able to ANS >>
1.
2.
3. ANS >> 1. question stats provided
2. decide if data is credible
3. decide if data will influence your current or future decisions
5. By the end of this course you should ANS >> ANS >> - understand the importance of data and
the source of data
1/
,- be skeptical/not jump to conclusions
- interpret stat results & come up with your own conclusions
- understand ditt b/t stat significant and biological relevance
6. Statistical Significance DOES NOT indicate ANS >>
-
-
- ANS >> - magnitude
- relevance
- happenings by chance
7. Data ANS >> records of measurements & counts of observations
8. Variable ANS >> characteristic of a subject
ex ANS >> calf body weights, feed per gain in pigs, breed of horses
9. Variables can be classified as ANS >> ANS >> quantitative numeric
- body weight, age, feed intake, time, temp, litter size, egg count
2/
, categorical qualitative
- ex ANS >> eye color, pregnancy status (open vs pregnant), BCS
10. Population ANS >> entire group about which researchers want information
- represents all members of a certain group or category of interest
11. Sample ANS >> subset of the larger population
12. 2 ways to find average milk production of dairy cows at dairy barn ANS >> ANS
>> - measure all cows at dairy barn (population)
- randomly select subset of dairy cows (sample)
13. Parameter vs Statistic ANS >> Parameter (p) ANS >>
- mean calculated from a population
- number that describes a POPULATION (fixed number)
- value usually unknown
Statistic (p-hat) ANS >>
- mean calculated from sample
- not a fixed number (changes from SAMPLE to sample)
3
mm/
