when we reject the null hypothesis, we are saying that the observed difference f
ID: 3269270 • Letter: W
Question
when we reject the null hypothesis, we are saying that the observed difference from expectation is much higher than we expect by chance alone.
a. true
b. false
z scores are normally distributed.
a. True
b. False
In a study of the effect of air humidity on the speed of running, the independent variable is air humidity.
a. true
b. false
There is a difference in the amount of time strangers converse when the woman is wearing perfume than when she is not wearing perfume. This statement is a directional hypothesis.
a. true
b.false
If the null hypothesis is really true and your sample data lead you to retain it, you have made a type 2 error.
a.true
b.false
The probability of drawing a heart from a deck of cards is 0.25 over the long term(under an infinite number of draws). what is the probability of getting a heart on a single draw?
a. 0.00.
b.0.25.
c.0.75.
d.1.00.
Assume that the null hypothesis is really false. Under the condition, and difference in group means found in a well-designed test of the hypothesis must be due to.
a. random error
b.The treatment
c.An extraneous variable
d.Such a situation cannot happen
Researchers Jones conducts a study and is able to reject the null hypothesis. We would interpret this as meaning that any observed mean group difference was probably due to.
a. Chance
b. Sampling error
c. The treatment
d. An unknown variable correlated with the independent variable
Where in the distribution of all possible z scores will a statistically significant z score fall?
a. close to the center, but not the exact middle.
b.The exact middle
c. The extreme tail
The basic aim of statistical inference is to form a conclusion about which one of the following?
a. The sample in the study
b.A random sample
c. The population from which the sample in the study was drawn
d. A random population
Explanation / Answer
Could you post each question individually. Answering the top 4 questions
1) a. is true
When you reject the null hypothesis in a chisquare test, you mean to say that
observed and expected differ by an amount too high / too unusual
2) a. is true.
The standard score (more commonly referred to as a z-score) is a very useful statistic because it (a) allows us to calculate the probability of a score occurring within our normal distribution
3) a. is true.
The predictor variable is air humidity. The variable we want to predict is speed of running. and predictor = independent variable, which in our case is the air hunidity
4) b. is true
When only "difference" is being tested ( as in the case here), then its a 2 way or 2 tailed hypothesis. If more or less was tested then it would've been one directional/single tailed hypothesis
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