Concept explainers
An example of the vertical-horizontal illusion is shown in the figure. Although the two lines are exactly the same length, the vertical line appears to be much longer. To examine the strength of this illusion, a researcher prepared an example in which both lines were exactly 10 inches long. The example was shown to individual participants who were told that the horizontal line was 10 inches long and then were asked to estimate the length of the vertical line. For a sample of
a. Use a one-tailed hypothesis test with
b. Calculate the estimated d and
c. Construct a 95% confidence interval for the population mean estimated length of the vertical line.
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Chapter 9 Solutions
Stats For Behav. Science W/mindtap
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- One operation of a mill is to cut pieces of steel into parts that will later be used as the frame for front seats in an automobile. The steel is cut with a diamond saw and requires the resulting parts to be within 10.005 inch of the length specified by the automobile company. Data are collected from a sample of 50 steel parts and are shown in the following table. The measurement reported is the difference in inches between the actual length of the steel part, as measured by a laser measurement device, and the specified length of the steel part. For example, the first value, -0.003, represents a steel part that is 0.003 inch shorter than the specified length. Complete parts a through c Click the icon to view the data table. a. Construct a frequency distribution Difference in Length -0.005 but less than -0.003: -0.003but less than -0.001 -0.001but less than 0.001 0.001but less than 0.003 0.003but less than 0.005 Frequency Difference Between Actual and Specified Lengths 0.002 0 -0.003…arrow_forwardPLS.;; HELParrow_forwardAnswer letters b, c and d. Use image two as to determine the p value and point estimatearrow_forward
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- A supervisor of a plant kept records of the time (in seconds) that employees needed to complete a particular task. The data are summarized as follows:Time 30 < 40 40 < 50 50 < 60 60 < 80 8 < 100 100 < 150Number 10 15 20 30 24 20a. Graph the data with a histogram.b. Discuss possible errors.arrow_forwardThe 98.6 degree standard for human body temperature was derived by a German doctor in 1868. In an attempt to verify his claim, Mackowiak, Wasserman, and Levine22 took temperatures from 148 healthy peopleover a 3-day period. A data set closely matching the one in Mackowiak’s article was derived by Allen Shoemaker, and appears in the Journal of Statistics Education.23 The body temperatures for these 130 individuals are shown in the relative frequency histogram that follows. See Attachment a. Describe the shape of the distribution of temperatures.b. Are there any unusual observations? Can you think of any explanation for these?c. Locate the 98.6-degree standard on the horizontal axis of the graph. Does it appear to be near the center of the distribution?arrow_forwardA recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.4) for the 141 females and 2.4 (s=3.5) for the 178 males. Complete parts a through c below. O:A. The standard error is the standard deviation of the sample for this study. B. The standard error is the difference in standard deviations for the two populations. OC. The standard error is the standard deviation of the difference between x₁ - x₂. 000 000 F4 D. The standard error describes the spread of the sampling distribution of x₁ - x₂. b. Find the test statistic and P-value for Ho: H₁ = μ₂ and H₂: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is. (Round to two decimal places as needed.) ост 29 F5 Clear all tv Check…arrow_forward
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