Rereading, slow reading, and pausing during a confusing paragraph are examples of 

How would you define comprehension? 

What is text structure and what role does it play in comprehension?

(6 points)  In a hypothesis test, you are given the null and alternative hypotheses are

For the following scenario, determine the appropriate hypothesis test to use in order to test the claim. Then check to see if the conditions have been met. Support your answer for the conditions completely. z-Test for the Population Mean t-Test for the Population Mean z-Test for the Population Proportion Chi-Square Goodness-of-Fit Test Chi-Square Test of Independence Scenario 2: A researcher claims that the number of deaths from heart attack by day of the week is not uniformly distributed. The following table show the results of a sample (Source: CDC)

A.   Level of Significance B.   Probability of Type II Error C.   Standardized Test Statistics D.   Critical Values E.   Sample Standard Deviation F.   Population Standard Deviation G.   Sample Variance H.   Population Variance I.   Population Proportion of Success J.   Sample Proportion of Success K.   Sample Size L.   Degrees of Freedom M.  Expected Frequencies N.  Observed Frequencies O.  Population Size To the left is a symbol you have seen this quarter. The answer bank is above. Match the symbol with its description by choosing the appropriate letter (capitalized).  [1]

A car manufacturer wants to test whether consumer choice of body type (SUV, truck, or car) and color choice (black or white) are related. In a sample of 200 consumers, the following data is collected. Observed SUV Truck Car Black 24 36 53 White 15 31 41 If a Chi-Square Test of Independence were to be performed, one of the steps would be to calculate the expected values. Calculate the expected values, rounded to two decimal places. Expected SUV Truck Car Black [a] [b] [c] White [d] 29.14 [f]

Complete the following statements. True or False: Hypothesis tests are used to PROVE claims. [a] (true/false) Suppose you perform a hypothesis test that rejects the null hypothesis when the alpha level is 5%. Would the null hypothesis also be rejected if the alpha level was 10%? (Hint: Draw a picture.) [b] (yes/no/maybe) True or False: In a hypothesis test, your claim MUST be the alternative hypothesis. [c] (true/false) True or False:  In a right-tailed test, if the standardized test statistic is smaller than the critical value, then you would reject the null hypothesis. [d] (true/false) When setting up a hypothesis test, your goal is to support the claim. Then, you would want to make sure that the claim is the ??? hypothesis. [e] (null/alternative) The Chi-Square goodness-of-fit test and test of independence are always ??? – tailed. [f] (right/left/two) When beginning a hypothesis test, you start by assuming the ??? hypothesis is true. [g] (null/alternative) If the claim is the null hypothesis, then you either have enough evidence or don’t have enough evidence to ??? the claim. [h] (reject/support) The ??? hypothesis always contains the statement of equality. [i] (null/alternative)  

For the following scenario, determine the appropriate hypothesis test to use in order to test the claim. Then check to see if the conditions have been met. Support your answer for the conditions completely. z-Test for the Population Mean t-Test for the Population Mean z-Test for the Population Proportion Chi-Square Goodness-of-Fit Test Chi-Square Test of Independence Scenario 1: An article states that less than 8% of people accomplish their New Year’s resolution. In a sample of 45 individuals, you find that 6 have kept their New Year’s resolution.

For the following scenario, determine the appropriate hypothesis test to use in order to test the claim. Then check to see if the conditions have been met. Support your answer for the conditions completely. z-Test for the Population Mean t-Test for the Population Mean z-Test for the Population Proportion Chi-Square Goodness-of-Fit Test Chi-Square Test of Independence Scenario 3: You wish to test a researcher’s claim that the average time American’s spend watching television is 238 minutes per day. You collect a sample of 18 Americans and find the average time is 246 minutes with a standard deviation of 38 minutes. The distribution is likely right-skewed.