Concept explainers
To explain: The meaning of
Answer to Problem 1.1CYU
The probability is 0.727.
Explanation of Solution
Given:
The table is:
Values | 0 | 1 | 2 | 3 | 4 |
Probability | 0.011 | 0.032 | ? | 0.362 | 0.457 |
Calculation:
To explain the term, the missing value is required to be computed. Let the missing value be x .
The missing value can be calculated as:
The required probability is 0.819.
Chapter 6 Solutions
The Practice of Statistics for AP - 4th Edition
Additional Math Textbook Solutions
Thinking Mathematically (6th Edition)
Elementary Statistics
College Algebra with Modeling & Visualization (5th Edition)
Algebra and Trigonometry (6th Edition)
Calculus: Early Transcendentals (2nd Edition)
Elementary Statistics: Picturing the World (7th Edition)
- File Edit View History Bookmarks Window Help 110 canvas.apu.edu aditio Asymptotic Value df Significance (2-sided) Exact Sig. Exact Sig. (2-sided) (1-sided) Pearson Chl- 17.732 1 <.001 ents Square Continuity Correction b 15.252 1 <.001 Likelihood Ratio 18.122 1 <.001 Fisher's Exact Test Linear-by-Linear Association 17.410 1 <.001 N of Valid Cases 55 <.001 <.001 a. O cells (0.0%) have expected count less than 5. The minimum expected count is 6.11. b. Computed only for a 2x2 table Symmetric Measures Value Approximate Significance Phi .568 <.001 Nominal by Nominal Cramer's .568 <.001 V N of Valid Cases 55 Both variables are categorical Categories are mutually exclusive No more than 20% of cells have an expected cell count less than 5. The minimum expected cell count is at least 1.0. tv O DEC [Choose ] ✓ Satisfied Violated Satisfied Satisfied Satisfied 12 M 4karrow_forwarddit < View History Bookmarks Window Help סוי canvas.apu.edu a. Predictors: (Constant), BMI ANOVAª Model Sum of Squares df Mean Square F Sig. Regression 20232.767 1 20232.767 56.558 <.001b 1 Residual 18959.960 53 357.735 Total 39192.727 54 a. Dependent Variable: SBP b. Predictors: (Constant), BMI Model Coefficients Unstandardized Standardized Coefficients Coefficients t Sig. B Std. Error Beta (Constant) 39.673 11.841 3.350 .001 1 BMI 3.089 411 .718 7.521 <.001 a. Dependent Variable: SBP The results are statistically significant. The p-value is .507. True False SBP can predict about 50% of the variability in BMI. There is a strong relationship between these variables. There is a positive relationship between these variables. [Choose ] True False There is not enough information to make this claim. True SBP is a significant predictor of BMI. tv DEC 12 False Ը 2arrow_forwardThe manager of one of the companies believes that the rate of defective units is (15) pieces. Until purchases are made from his company, a representative inspects (21) devices from the company's stores and finds out that the rate of defective units is (9) pieces under the supervision of a standard company with a capacity of (512). Can it be trusted? In the belief of the company director, he changes the meaning of this or else 5 Z 0.05 =1.64 t(20),0.05-1.72 T(20),0.025=2.08arrow_forward
- - The rate of hospitalized patients in Al-Tarikh Hospital was (42) with a standard deviation of (3.9). The average of hospitalized patients in Al-Yarmouk Hospital was (36) with a standard deviation of (5.01), and these results showed (40) patients in Al-Tarikh Hospital and (36 patients in Al-Yarmouk)... Test the following statement: There is no difference in the logo rate for the two hospitals - at the 95% confidence level 1.64=z 0.05 =Z 0.025 1.66=0.05(74)tarrow_forwardstory Bookmarks Window Help 110 canvas.apu.edu You decide to run a Pearson's correlation test to determine whether SBP scores and BMI scores are related to each other. Using the following SPSS output for these two variables, determine whether each assumptions is satisfied or violated. Statistics BMI SBP N Valid 55 55 Missing 0 0 BMI Mean 28.153 126.64 Median 27.800 122.00 125 Mode 19.7ª 118 100 Std. Deviation 6.2663 26.941 Variance 39.267 725.791 Skewness .649 .579 Frequency 75 Std. Error of Skewness .322 .322 50 Kurtosis .432 -.135 25 Std. Error of Kurtosis .634 .634 Range 27.5 110 0.0 10.0 20.0 30.0 40.0 50.0 Percentiles 25 24.300 105.00 BMI 50 27.800 122.00 75 30.500 142.00 Frequency a. Multiple modes exist. The smallest value is shown 12 10 Histogram L B 100 120 140 160 180 200 SBP Variables must be at least interval level. Variables must be normally distributed. tv 94 #3 000 000 Mean-126.64 Std. Dev. 20 941 N-55 ✓ [Choose ] Violated Satisfied [Choose ] DEC 12 M % $ 6 91 5 F R…arrow_forwardy Bookmarks Window Help 110 canvas.apu.edu Started: Dec 12 at 1:10pm Quiz Instructions This is an optional quiz that may be taken to replace your lowest quiz score. It is cumulative and includes content from throughout the semester you score low on this quiz, it will not impact your grade. Answers will not be provided. D Question 1 Select the correct level of measurement for each variable. Systolic Blood Pressure (SBP) scores (i.e. 115, 132) ✓ [Choose ] Ordinal Interval Blood Pressure Level (Low, Normal, Prehypertensive, Stage 1, Stage 2, Hypertensive Crisis) Nominal Ratio Presence of Obesity (yes, no) Nominal Body Mass Index (BMI) scores (i.e. 22.6, 31.4) [Choose ] Weight level (Underweight, Normal, Overweight, Obese) Ordinal Marital Status (single, married, widowed, divorced) Nominal D Question 2 útv Select the purpose of each statistical test. DEC 12 80 000 000 5 MacBook Pro 3 pts 3 pts A@ 2.arrow_forward
- t View History Bookmarks Window Help 831. Frequency 110 canvas.apu.edu M You decide to run a Pearson's correlation test to determine whether SBP scores and BMI scores are related to each other. Using the following SPSS output for these two variables, determine whether each assumptions is satisfied or violated. Statistics BMI SBP N Valid 55 55 Missing 0 0 BMI Mean 28.153 126.64 Median 27.800 122.00 12.5 Mode 19.79 118 100 Std. Deviation 6.2663 26.941 Variance 39.267 725.791 Skewness .649 .579 Frequency 75 Std. Error of Skewness 322 .322 1.0 0 Kurtosis 432 -.135 25 Std. Error of Kurtosis .634 634 Range 27.5 110 0.0 100 20.0 300 40.0 500 Percentiles 25 24.300 105.00 BMI 50 27.800 122.00 75 30.500 142.00 12 10 a. Multiple modes exist. The smallest value is shown Histogram 100 120 140 150 SBP Variables must be at least interval level. Variables must be normally distributed. Mean-1254 Sad Dev. 28941 14-55 [Choose ] Choose] Hean-2015 16-53 5 Dev-6206 K ( Thuarrow_forwardPostpartum depression and anxiety (PPD), is a common medical condition affecting mothers and their families after the birth of a baby. The CDC estimated that 17% of women who have recently given birth suffer from PPD. However, this research only reflected self-reported cases. Therefore, one group dedicated to helping women and their families with PPD believes that the true percentage of women who suffer from PPD is much higher. The group conducts a simple random sample of 98 women who had given birth in the last year and discovers that 26 of them report having PPD. Based on this evidence, can the group claim that the true percentage of women who have PPD is greater than 17 % ? Use a 0.02 level of significance. Step 2 of 3: Compute the value of the test statistic. Round to two decimal places.arrow_forwardLet U= {x|x EN and x <5} A = {x | x is an odd natural number and x < 5} B = {x|x is an even natural number and x <5} C = {x|xЄ N and 1arrow_forwardA quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Suppose a sample of 865 floppy disks is drawn. Of these disks, 112 were defective. Using the data, estimate the proportion of disks which are defective rounded to three decimal places. Use the data as well to construct the 95% confidence interval for population proportion of disks which are defective rounded to 3 decimal placesarrow_forwardCan someone check my work? A random sample of 11 fields of spring wheat has a mean yield of 20.2 bushels per acre and standard deviation of 5.19 bushels per acre. Determine the 99% confidence interval for the true mean yield. Assume the population is approximately normal. : Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places. Construct the 99% confidence interval. Round to 1 decimal place For the confidence interval I got 3.169 and the confidence interval I got 15.2 lower 25.2 upperarrow_forward5. The weight X, of a widget has the normal distribution with the mean of 50g and standard deviation of 0.8g. (a) Find the probability that a single widget weighs between 49.5 and 50.5g. (b) Find the 85th percentile of the weights. (c) Let be the average weight of 30 widgets. Find the mean and standard deviation of X. Assume that the weights are independent. (d) Approximate the probability that X is between 49.5 and 50.5g. Compare to part (a)arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman