Chapter 1 What is Science? Grade 7 Which of the following is a valid reason why a scientist might reject a scientific theory? 95% 5% ev id It i st oo ol ... d. 0% di ct en ce br oa Ne w to o rs ov e It c So m e pe op le di sa d a gr e e w i.. to pi c. 0% co nt ra 1. Some people disagree with it. 2. It covers too broad a topic. 3. New evidence contradicts it. 4. It is too old. In a scientific experiment, facts, figures and other evidence gathered through observations are called 91% 5% 0% es . bl es . s. pe nd in de nd e nt en tv va r ar ia ia law de pe a. 5% bl data. laws. dependent variables. independent variables. da t 1. 2. 3. 4. Explaining or interpreting the things you observe based on reasoning from what you already know is called observing. inferring. predicting. classifying. 76% 14% g. ss ify in cla in g. pr ed ict r in g. 5% in fe r vin g. 5% ob se r 1. 2. 3. 4. A statement that describes what scientists expect to happen every time under a particular set of conditions is a 61% scientific inquiry. scientific hypothesis. scientific theory. scientific law. 22% 17% . sc ie nt ifi c la w ry . sc ie nt ifi c th eo es is. hy po th nt ifi c sc ie nt ifi c in qu i ry . 0% sc ie 1. 2. 3. 4. A possible explanation for a set of observations or answer to a scientific question is called a(n) 68% prediction. hypothesis. theory. law. 23% . law . or y th e he s is. 5% hy po t di ct io n. 5% pr e 1. 2. 3. 4. A well tested explanation for a wide range of observation or experimental results is called a scientific45% 25% 20% . law . or y th e he s is. 10% hy po t inquiry. hypothesis. theory. law. in qu ir y . 1. 2. 3. 4. Observations that deal with descriptions that cannot be expressed in numbers are called 80% manipulated observations. quantitative observations. qualitative observations. operational observations. 15% 5% ra t io op e qu a lit at ive io ns . va t ob se r na l ob se r va t io ns . tio ob se rv a ive nt ita t qu a ns . 0% ns . tio va ob se r d te ul a an ip m 1. 2. 3. 4. Asking which brand of superball will bounce better and designing an experiment to test it 25% is an25% example of 25% 25% 1. 2. 3. 4. a prediction. objective reasoning. scientific inquiry. classification. 1 2 3 4 One useful tool that may help a scientist interpret data by revealing unexpected patterns is a 82% variable. graph. theory. law. 14% . 0% law . or y th e ph . gr a ia bl e. 5% va r 1. 2. 3. 4. Chris doesn’t think chipmunks are very smart, so her hypothesis is that they won’t be able to find the nuts she has hidden in the garden. This is an example of _____ 74% objective reasoning cultural bias subjective reasoning experimental bias 16% ias ta lb ng en rim ex pe re a e tiv su bj ec cu l tu r al so ni bi in g so n ea er tiv 5% as 5% ob je c 1. 2. 3. 4. Making a statement or claim about what will happen in the future based on past experiences or evidence is called 76% g. ss ify in cla in g. 5% di ct r in g. 10% in fe r vin g. 10% pr e observing. inferring. predicting. classifying. ob se r 1. 2. 3. 4. During an experiment, if you purposely change the temperature to test a hypothesis, the temperature is called the 52% independent variable. experimental variable. hypothetical variable. dependent variable. 33% va r ia ia bl e. bl e. 5% de pe nd e nt lv ar ica he t hy po t en ex pe rim pe n de nt v ta lv ar ia ar ia bl e. bl e. 10% in de 1. 2. 3. 4. When scientists put things into categories or group together items that are alike in some way, they are 95% 5% g. ss ify in in g. r in g. in fe r 0% cla ak in gm od el s. 0% pr ed ict making models. inferring. predicting. classifying. m 1. 2. 3. 4. Using one or more of your senses to gather information is called 85% observing. inferring. predicting. classifying. 10% g. ss ify in cla di ct in g. 0% pr e r in g. in fe r vin g. 5% ob se r 1. 2. 3. 4. When scientists create a representation of a complex process, they are 86% making models. inferring. predicting classifying. 10% 5% g. ss ify in cla in g di ct r in g. in fe r pr e ak in gm od el s. 0% m 1. 2. 3. 4. In science, a hypothesis must be 68% correct. manipulated. controlled. testable. 27% le ta b te s tro lle co n te ul a an ip m d. d. t. re c . 5% 0% co r 1. 2. 3. 4. Every human being has rights. Mark is a human being, therefore, Mark has rights. This is an example of ______. 64% deductive reasoning inductive reasoning subjective reasoning personal bias 18% ias 9% so n pe r e tiv al b ng re a so ni su bj ec in du ct ive re a re as on i ive uc t so ni ng ng 9% de d 1. 2. 3. 4. A summary of what you learned from a scientific experiment is called a(n) 89% hypothesis. inquiry. conclusion. law. 5% clu . law sio n. 0% co n in qu ir y . he s is. 5% hy po t 1. 2. 3. 4. A scientist’s open-mindedness should always be balanced by ____, which is having an attitude of doubt. 76% bi a at cr e s 10% ivi y io sit cu r pt ic ism 5% 10% ty skepticism curiosity creativity bias sk e 1. 2. 3. 4. When scientific investigations produce data that show new patterns that contradict existing conclusions, 90% scientists should 10% 0% ch a da t w ng e th e ne th e ou t th ro w ... as o aa da t ol d af or da t th e ch ec k .. or .. er r ad ic t or y.. . . 0% co nt r 4. th e 3. or e 2. ignore the contradictory data and keep the old conclusions. check the data for errors and revise or replace the old conclusions if needed. throw out the old data and use the new data only to reach new conclusions. change the new data so that it fits the old conclusions. ign 1. Scientific knowledge changes with 84% new magazine articles. careful reading of facts. repeated experiments. new evidence and new interpretations. 16% ne w ev id en ne w ce an d ex pe te d ea i.. . ts . rim en ts . ff ac go re p ca r ef ul re ag az m 0% ad in in e ar t ic le s. 0% ne w 1. 2. 3. 4. Which is an example of using ethics in experiments? 58% 21% o M gs am pl tn St or in th a ca re ng Ta ki es un ak de in rc gs . .. ur et ha to nl yu . .. an im a. . ... cie nt eo gs ur ak in M 16% 5% th er s 1. Making sure other scientists can repeat the experiment 2. Taking care that no animals are harmed 3. Storing samples under controlled conditions. 4. Making sure that only useful data is collected. If you conduct an experiment and draw conclusions that are based on your beliefs rather than the facts, you 38% are using 29% subjective reasoning. objective reasoning. faulty reasoning. experimental reasoning. 24% g. so ni n ng . ea as on i en ta lr re ex pe rim fa ul ty er tiv ob je c tiv e re a ea so n so ni ng . in g. 10% su bj ec 1. 2. 3. 4. Kim notices that every time she uses a certain bird food in her feeder, cardinals land on the feeder. She concludes that cardinals prefer this food more that other birds do. What type of reasoning is Kim using? deductive reasoning inductive reasoning subjective reasoning personal bias 65% 15% ias al b ng ive su bj ec t ive in du ct 10% pe rs on re a so ni re a as on i re ive uc t so ni ng ng 10% de d 1. 2. 3. 4. To find out why food left on the kitchen counter eventually molds is an example of 48% using scientific inquiry developing a theory making a prediction collecting data 33% 19% a co l le ct in gd at n ed ic t io pr m ak in ga ng lo pi de ve cie nt ifi ci at he o nq ui ry ry 0% us in gs 1. 2. 3. 4. During an experiment, which factors must be controlled so that researchers can draw logical conclusions from the 25% 25% 25% 25% experiment? 1. 2. 3. 4. variables hypotheses inquiries theories 1 2 3 4 Be able to read a data chart and identify: • The manipulated/independent variable • The responding/dependent variable • Be able to make a prediction about future data • Be able to draw a conclusion based on given data Similar to the Simpson’s worksheet… Be able to read a scenario and identify • The manipulated/independent variable • The responding/dependent variable • The control group/variables Be able to read a data chart and • Use inductive or deductive reasoning to form conclusions • Make predictions