1 - 0.90 = 0.1= 0.1 x 100 = .10 which makes a = .10? is the the correct (one of the correct equations) to find the alpha of a statistic?
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1 - 0.90 = 0.1= 0.1 x 100 = .10 which makes a = .10? is the the correct (one of the correct equations) to find the alpha of a statistic?
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- Sal knows that parties of people on average spend 75 minutes at their restaurant. They wonder if this average is significantly different on the weekends. They found the average time spent by the 30 parties which dined there this weekend was 82 minutes with a SD of 17 minutes. Assume an alpha of .05. What is the test statistic?A school bus driver records the time (in minutes) it takes to commute to school for six days.Those results are: 25, 22, 17, 20, 15, and 10. Using an alpha value of ? = 0.10, test if the meantime is significantly different than 20 minutes.Lowering the alpha level from .05 to .01 will increase the power of a statistical test. A.True B.false
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- . I’m interested in assessing whether someone’s resting heart rate (X) is related to how fast they are able to finish running a 5k race (5k is 3.1 miles) (Y). I gather data from a set of runners and want to see whether, at an alpha of 0.05, there is a significant relationship between resting heart rate and finish time. Use the data below to answer this question: Resting Heart Rate (measured in beats/min) Finish Time (measured in minutes) (Y) 54 30 65 33 60 35 60 32 75 35 70 36 80 45 60 36 55 29 55 27 60 30 Calculate the sum of squares for XY __________________________ What is the correlation coefficient? Is it strong or weak? Positive or negative? __________________________ What can we conclude? ______________________________________________________________________I’m interested in assessing whether someone’s resting heart rate (X) is related to how fast they are able to finish running a 5k race (5k is 3.1 miles) (Y). I gather data from a set of runners and want to see whether, at an alpha of 0.05, there is a significant relationship between resting heart rate and finish time. Use the data below to answer this question: Resting Heart Rate (measured in beats/min) Finish Time (measured in minutes) (Y) 54 30 65 33 60 35 60 32 75 35 70 36 80 45 60 36 55 29 55 27 60 30 please write the equation for the line of best fit for this data (use the form: y’ predicted = b(slope)X + a (intercept) What is the R2 value? What does it represent in this problem’s context?I’m interested in assessing whether someone’s resting heart rate (X) is related to how fast they are able to finish running a 5k race (5k is 3.1 miles) (Y). I gather data from a set of runners and want to see whether, at an alpha of 0.05, there is a significant relationship between resting heart rate and finish time. Use the data below to answer this question: Resting Heart Rate (measured in beats/min) Finish Time (measured in minutes) (Y) 54 30 65 33 60 35 60 32 75 35 70 36 80 45 60 36 55 29 55 27 60 30 What are the degrees of freedom for this problem? What is the critical R value? ______________________________________________________________ Calculate the sum of squares for X ________________________ Calculate the sum of squares for Y ________________________
- A test of an internet service provider showed the following download times (in seconds) for files of various sizes (in megabytes). Find the coefficient of determination. Based on the result what conclusion can you reach from this correlation?a population of scores has u=44. in this population a score of x=40 corresponds to z = -1.00. What is the population standard deviation?A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state, and found a gamma of -0.17. This means that Select one: a. support for the ban is highest among the rich b. the electorate will approve the ban c. as prestige goes up, support for the ban goes down d. support tends to increase as prestige increases
