Test the hypothesis using the P -value approach. Be sure to verify the requirements of the test. \( H_{0}: \mathrm{p}=0.5 \) versus \( \mathrm{H}_{1}: \mathrm{p}>0.5 \) \( \mathrm{n}=250 ; \mathrm{x}=140 ; \alpha=0.01 \) Click here to view page 1 of the table. Click here to view page 2 of the table. A. Reject the null hypothesis, because the \( P \)-value is greater than \( \alpha \). B. Do not reject the null hypothesis, because the \( P \)-value is less than \( \alpha \). C. Reject the null hysothesis, because the \( P \)-value is less than \( \alpha \). D. Do not reject the null hypothesis, because the \( P \)-value is greater than \( \alpha \).

Complete the statement below. point estimate confidence interval critical value the value of a statistic that estimates the value of a parameter. confidence level

Which of the following is/are part of descriptive statistics? central tendency. variability. linear regression. correlation. all of the above.

1. The blood pressure readings for executives are approximately normally distributed with a mean systolic blood pressure of 134 and a standard deviation of 20 . Given this information it can be concluded that: a about \( 68 \% \) of the executives have blood pressures between \( \square \) and \( \square \) b about \( 95 \% \) of the executives have blood pressures between \( \square \) and c about \( 99.7 \% \) of the executives have blood pressures between \( \square \) and d about \( 16 \% \) of the executives have blood pressures above \( \square \) e about \( 2.5 \% \) of the executives have blood pressures below \( \square \) f about \( 0.15 \% \) of the executives have blood pressures below \( \square \) g about \( 50 \% \) of the executives have blood pressures above \( \square \).

Cite as características que um bom diagrama de dispersão deve ter para facilitar a interpretação dos dados.

For an experiment comparing more than two treatment conditions or more than two groups, you should use analysis of variance (ANOVA), rather than separate \( t \) tests. True False