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RioNii RioNii
wrote...
Posts: 268
Rep: 2 0
A year ago
1) Develop 5 hypotheses
2) Identify Independent and dependent variables
3) Identify the nature of the relationship described in the hypotheses whether its association/relationship, Causal relationship or a group difference
4)Propose an inferential statistics on each of the five hypotheses.
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Anonymous
wrote...
A year ago
Quote
1) Develop 5 hypotheses

  • People who score less than 50% on their test spent no time studying for the test.
  • People who score 50% to 60% on their test spent up to 1 hour study (i.e. 0<t<=1 hours)
  • People who score 60% to 70% on their test spent up to 2 hours study (i.e. 0<t<=2 hours)
  • People who score 70% to 80% on their test spent up to 3 hours study (i.e. 0<t<=3 hours)
  • People who score more than 80% on their test spent more than 3 hours studying (i.e. t>3 hours)

Quote
2) Identify Independent and dependent variables 

Dependent: Test score
Independent: Time spent studying

Quote
3) Identify the nature of the relationship described in the hypotheses whether its association/relationship, Causal relationship or a group difference 

All are causal relationships.
RioNii Author
wrote...
A year ago
Thank you so much sir/ma'am!! How about the no.4 sir/ma'am?
wrote...
Educator
A year ago
  • Hypothesis: If sugar causes cavities, then people who eat a lot of candy may be more prone to cavities.
  • Dependent: Cavities forming
  • Independent: Sugar consumption
  • Type: Causal
  • Inferential statistics: Examine the diets of people with excessive cavities to see if sugar is the main component.
  • Hypothesis: If carrots strength eye health, then people who eat carrots daily will not need glasses.
  • Dependent: Need for eye glasses
  • Independent: Carrot consumption
  • Type: Group difference
  • Inferential statistics: Ask adults who don't wear glasses if they consume carrots. Ask another group of adults who do wear glasses how many carrots they eat.
  • Hypothesis: People with high-sugar diets are more likely to be overweight.
  • Dependent: Weight of person
  • Independent: Amount of sugar consumed daily
  • Type: Association
  • Inferential statistics: Analyze the diets of people who are overweight to see if sugar is the main component.
  • Hypothesis: Raising gas prices causes an increase in the number of people who use public transit to work.
  • Dependent: Number of people taking public transit
  • Independent: Gas prices
  • Type: Causal relationship
  • Inferential statistics: As gas prices rise, examine how many transit tickets are bought and compare it to data from when gas prices were cheaper.
  • Hypothesis: If smoking cigarettes is bad for lung health, people who smoke daily are more likely to get lung cancer
  • Dependent: Number of people who get lung cancer
  • Independent: Number of cigarettes smoked daily
  • Type: Causal relationship
  • Inferential statistics: Examine data of all people who have died of lung cancer, and whether or not they were regular cigarette smokers their entire lives.
RioNii Author
wrote...
A year ago
Thank you so much sir! This was really a big help sir, thank you so much sir!
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