McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Mechanical Engineering , Electronics and Communication Engineering .
| 251. |
A researcher conducted a 2 x 2 completely repeated measures factorial design and planned 15 participants in each condition. How many participants would be required to conduct this experiment? |
| A. | 15 |
| B. | 30 |
| C. | 45 |
| D. | 60 |
| Answer» A. 15 | |
| 252. |
For question 09 - 15, consider the model with the two factors, each at two levels: |
| A. | 40 |
| B. | 20 |
| C. | 10 |
| D. | 5 |
| Answer» A. 40 | |
| 253. |
In a 3 x 3 factorial design, how many conditions are there in the experiment? |
| A. | 2 |
| B. | 3 |
| C. | 6 |
| D. | 9 |
| Answer» D. 9 | |
| 254. |
What is the Sum of Squares of Number of Fertilizers (B)? |
| A. | 6.075 |
| B. | 39.48 |
| C. | 7.19 |
| D. | 3.89 |
| Answer» C. 7.19 | |
| 255. |
What is the degree of freedom of B? |
| A. | 1 |
| B. | 2 |
| C. | 3 |
| D. | 4 |
| Answer» B. 2 | |
| 256. |
A serious problem can occur in multiple regression analysis if an important variable is omitted from the list of independent variables. This can lead to |
| A. | Unbiased least squares estimators. |
| B. | Biased least squares estimators. |
| C. | A biased estimator of the variance. |
| D. | All of these |
| Answer» B. Biased least squares estimators. | |
| 257. |
What does the Adjusted R squared value tells us? |
| A. | The Adjusted R squared value tells us if there is a positive relationship |
| B. | The Adjusted R squared value tells us if there is a significant difference |
| C. | The Adjusted R squared value tells us if there is a significant relationship |
| D. | The Adjusted R squared value tells us how much of the variance in the dependent variable can be accounted for by the independent variable |
| Answer» D. The Adjusted R squared value tells us how much of the variance in the dependent variable can be accounted for by the independent variable | |
| 258. |
The South African government is concerned about the high incidence of HIV/AIDS in South Africa. They wish to estimate the true number of people in South Africa who are HIV positive. A random sample of 5000 people was tested and 1980 of them were HIV positive. What is the parameter of interest? |
| A. | The number of people in South Africa |
| B. | The 5000 people sampled |
| C. | The number of people in South Africa who are HIV positive |
| D. | The 1980 people sampled who were HIV positive |
| Answer» C. The number of people in South Africa who are HIV positive | |
| 259. |
Student's t-test is applicable only when: |
| A. | n ≤ 30 and σ is known |
| B. | n > 30 and σ is unknown |
| C. | n = 30 and σ is known |
| D. | All of these |
| Answer» A. n ≤ 30 and σ is known | |
| 260. |
An advertising executive is studying television-viewing habits of married men and women during prime time hours. On the basis of past viewing records, the executive has determined that during prime time, husbands are watching television 40% of the time. It has also been determined that when the husband is watching television, 40% of the time the wife is also watching. When the husband is not watching television, 30% of the time the wife is watching television. Find the probability that the wife is watching television in prime time. |
| A. | 0.36 |
| B. | 0.35 |
| C. | 0.34 |
| D. | 0.32 |
| Answer» C. 0.34 | |
| 261. |
A result is called "statistically significant" whenever |
| A. | The null hypothesis is true. |
| B. | The alternative hypothesis is true. |
| C. | The p-value is less or equal to the significance level. |
| D. | The p-value is larger than the significance level. |
| Answer» C. The p-value is less or equal to the significance level. | |
| 262. |
The ______________ sum of squares measures the variability of the observed values around their respective treatment means. |
| A. | treatment |
| B. | error |
| C. | interaction |
| D. | total |
| Answer» B. error | |
| 263. |
What must you include when reporting an ANOVA? |
| A. | Standard deviations, Degrees of freedom, Means, F statistic, P value |
| B. | Standard deviations, Means, F statistic, P value |
| C. | Standard deviations, Degrees of freedom, Means, F statistic |
| D. | Degrees of freedom, F statistic, P value |
| Answer» A. Standard deviations, Degrees of freedom, Means, F statistic, P value | |
| 264. |
As variability due to chance decreases, the value of F will |
| A. | increase |
| B. | stay the same |
| C. | decrease |
| D. | can't tell from the given information |
| Answer» A. increase | |
| 265. |
When conducting an ANOVA, the F-Value calculated from the data will always fall within what ‘range? |
| A. | between negative infinity and infinity |
| B. | between 0 and 1 |
| C. | between 0 and infinity |
| D. | between 1 and infinity |
| Answer» C. between 0 and infinity | |
| 266. |
Two factors are said to be orthogonal when: |
| A. | they are correlated, that is, they cannot vary independently |
| B. | there are equal numbers of participants in all groups |
| C. | they are uncorrelated, that is, they vary independently |
| D. | there is a single control group, with which all the other groups can be compared |
| Answer» C. they are uncorrelated, that is, they vary independently | |
| 267. |
If we add together the sums of squares for the simple main effects of one factor at all the different levels of another factor, we shall obtain: |
| A. | The interaction sum of squares for the complete experiment |
| B. | The main effect sum of squares for the second factor, plus the sum of squares for its interaction with the first factor |
| C. | The main effect sum of squares for the first factor |
| D. | The main effect sum of squares for the first factor, plus the sum of squares for its interaction with the second factor |
| Answer» D. The main effect sum of squares for the first factor, plus the sum of squares for its interaction with the second factor | |
| 268. |
In a factorial design, a main effect is the ______________. |
| A. | the combined effect of the independent variables on the dependent variable |
| B. | interaction effect of the independent variables and their effect on the dependent variable |
| C. | the effect of each independent variable on the dependent variable |
| D. | interaction of the independent variables |
| Answer» C. the effect of each independent variable on the dependent variable | |
| 269. |
You have carried out a Kruskal-Wallis test. There are significant differences between the three groups you are testing. How might you conduct your pair wise comparisons? |
| A. | Use the Mann Whitney test |
| B. | Use the Wilcox on test |
| C. | Use a t-test |
| D. | None of the above. Post hoc analyses cannot be carried out with non parametric data |
| Answer» A. Use the Mann Whitney test | |
| 270. |
A 2 X 2 factorial |
| A. | Is essentially two designs that have been combined into a single study. |
| B. | Contains four factors. |
| C. | Does not have enough factors to show interactions. |
| D. | Is extremely difficult to interpret if interactions are found. |
| Answer» A. Is essentially two designs that have been combined into a single study. | |
| 271. |
In factorial designs, the number of times a condition is noted is called: |
| A. | Randomization |
| B. | Factorization |
| C. | Replication |
| D. | None of These |
| Answer» C. Replication | |
| 272. |
A factorial design is one in ______________ |
| A. | Only one independent variable is studied to determine its effect on the dependent variable |
| B. | Only two independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variables |
| C. | Two or more independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variable |
| D. | Two dependent variables are studied to determine their interactive effects |
| Answer» C. Two or more independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variable | |
| 273. |
What is the Interaction between memory and cache (MIPS)? |
| A. | 40 |
| B. | 20 |
| C. | 10 |
| D. | 5 |
| Answer» D. 5 | |
| 274. |
A researcher is conducting a 3 x 2 factorial experiment. In variable 1 participants are randomly assigned to one of 3 conditions. In variable 2 participants respond to both levels of the independent variable. Which of the following best describes this study? |
| A. | it is an independent groups design |
| B. | it is a repeated measures group design |
| C. | it is a mixed factorial design |
| D. | it is a simple main effect design |
| Answer» C. it is a mixed factorial design | |
| 275. |
Dr. AB is conducting a 2 x 3 factorial experiment. He is interested in the impact of college major and study method on exam performance. He found that study method effected exam performance regardless of the participants' major. Which of the following is true? |
| A. | Dr. AB found a main effect for study method. |
| B. | Dr. AB found a main effect for college major. |
| C. | Dr. AB found a significant interaction between college major and study method. |
| D. | There is not enough information provided to answer this question. |
| Answer» A. Dr. AB found a main effect for study method. | |
| 276. |
What is the value at the position of (III)? |
| A. | 0.04 |
| B. | 0.85 |
| C. | 0.15 |
| D. | 0.033 |
| Answer» B. 0.85 | |
| 277. |
What are residuals? |
| A. | Residuals are the differences between the observed and expected dependent variable scores |
| B. | Serendipitous findings |
| C. | Extreme scores |
| D. | Uncontrolled variables |
| Answer» A. Residuals are the differences between the observed and expected dependent variable scores | |
| 278. |
An unbiased dice is rolled once. The probability of getting a number greater than 4 is: |
| A. | 1/4 |
| B. | 1/6 |
| C. | 1/2 |
| D. | 1/3 |
| Answer» D. 1/3 | |
| 279. |
Which of the following statement is true? |
| A. | Only factor A is significant; factor B and the two-factor interaction are not significant. |
| B. | Only factor B is significant; factor A and the two-factor interaction are not significant. |
| C. | Only the two-factor interaction is significant; factor A and factor B are not significant. |
| D. | Factor A and factor B is significant; the two-factor interaction is not significant. |
| Answer» B. Only factor B is significant; factor A and the two-factor interaction are not significant. | |
| 280. |
What is the purpose of a simple linear regression? |
| A. | To predict scores on a dependent variable from scores on a single independent variable |
| B. | To predict scores on an independent variable from scores on a single dependent variable |
| C. | To predict scores on an independent variable from scores on multiple dependent variables |
| D. | To predict scores on a dependent variable from scores on multiple independent variables |
| Answer» A. To predict scores on a dependent variable from scores on a single independent variable | |
| 281. |
Attribute charts may be used when: |
| A. | Several characteristics can be jointly measured |
| B. | When one particular quality characteristic is of importance |
| C. | Specific information like process mean is required |
| D. | None of these |
| Answer» A. Several characteristics can be jointly measured | |
| 282. |
Assume the cholesterol levels in a certain population have mean μ = 200 and standard deviation σ = 24. The cholesterol levels for a random sample of n = 9 individuals are measured and the sample mean x-bar is determined. What is the z-score for a sample mean x = 180? |
| A. | -3.75 |
| B. | -2.50 |
| C. | -0.83 |
| D. | 2.50 |
| Answer» B. -2.50 | |
| 283. |
In hypothesis testing, a Type 2 error occurs when |
| A. | The null hypothesis is not rejected when the null hypothesis is true. |
| B. | The null hypothesis is rejected when the null hypothesis is true. |
| C. | The null hypothesis is not rejected when the alternative hypothesis is true. |
| D. | The null hypothesis is rejected when the alternative hypothesis is true. |
| Answer» C. The null hypothesis is not rejected when the alternative hypothesis is true. | |
| 284. |
Student's t-statistic is applicable in case of: |
| A. | Equal number of samples |
| B. | Unequal number of samples |
| C. | Small samples |
| D. | All of the above |
| Answer» D. All of the above | |
| 285. |
Which of the following assumptions must be met to use an ANOVA? |
| A. | There is only one dependent variable |
| B. | The data must be normally distributed |
| C. | There is homogeneity of variance |
| D. | All of these |
| Answer» D. All of these | |
| 286. |
Which of the following is an assumption of one-way ANOVA comparing samples from three ‘or more experimental treatments? |
| A. | All the response variables within the k populations follow Normal distributions. |
| B. | The samples associated with each population are randomly selected and are independent from all other samples. |
| C. | The response variable within each of the k populations has equal variances. |
| D. | All of the above. |
| Answer» D. All of the above. | |
| 287. |
When conducting a one-way ANOVA, the ______________ the between-treatment variability is when compared to the within-treatment variability, the ______________ the FValue calculated from the data will tend to be. |
| A. | smaller, larger |
| B. | smaller, smaller |
| C. | larger, larger |
| D. | smaller, larger |
| Answer» B. smaller, smaller | |
| 288. |
You carried out an ANOVA on a preliminary sample of data. You then collected additional data from the same groups; the difference being that the sample sizes for each group were increased by a factor of 10, and the within-group variability has decreased substantially. Which of the following statements is NOT correct? |
| A. | The degrees of freedom associated with the error term has increased |
| B. | The degrees of freedom associated with the treatment term has increased |
| C. | The Residual Sum of Squares (SSE) has decreased |
| D. | The F-Value calculated from the data (F-Value) has changed |
| Answer» B. The degrees of freedom associated with the treatment term has increased | |
| 289. |
In the two-factor, between subjects (or two-way) ANOVA: |
| A. | The three F tests always have the same power to reject the null hypothesis. |
| B. | The test for an interaction always has more power than the test for a main effect. |
| C. | The power of the F test is not necessarily increased by having larger samples. |
| D. | The three F tests do not always have the same power to reject the null hypothesis. |
| Answer» D. The three F tests do not always have the same power to reject the null hypothesis. | |
| 290. |
A ______________ effect(s) analysis examines mean differences at each level of the independent variable. |
| A. | main |
| B. | simple main |
| C. | interaction |
| D. | simple interaction |
| Answer» B. simple main | |
| 291. |
Factorial designs allow us to study both ______________ effects of the independent variables on the dependent variables. |
| A. | main and interactive |
| B. | dependent and independent |
| C. | symbiotic and dichotomous |
| D. | rank order and correlation |
| Answer» A. main and interactive | |
| 292. |
A researcher conducted a 2 x 2 completely repeated measures factorial design and planned 15 participants in each condition. How many participants would be required to conduct this experiment? |
| A. | 15 |
| B. | 30 |
| C. | 45 |
| D. | 60 |
| Answer» A. 15 | |
| 293. |
Consider two factors A and B, each with two levels. If there is no interaction between these two factors, the difference in the response variable between the two levels of factor A would be ______________ the difference between the two levels of factor B. |
| A. | unrelated to |
| B. | equal to |
| C. | half |
| D. | twice |
| Answer» B. equal to | |
| 294. |
Dr. RNS conducted a ______________ factorial design to examine the effects of music and room temperature on participant's memory. Participants were randomly assigned to study a list of nonsense words either listening or not listening to music in either a warm or cold room. |
| A. | 1 x 2 |
| B. | 2 x 4 |
| C. | 2 x 2 |
| D. | 4 x 4 |
| Answer» B. 2 x 4 | |
| 295. |
In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as |
| A. | the main effect |
| B. | interaction |
| C. | replication |
| D. | none of these |
| Answer» B. interaction | |
| 296. |
What is the Variation due to Cache? |
| A. | 84% |
| B. | 76% |
| C. | 19% |
| D. | 5% |
| Answer» C. 19% | |
| 297. |
What is the value at the position of (V)? |
| A. | 0.85 |
| B. | 0.15 |
| C. | 0.97 |
| D. | 0.33 |
| Answer» D. 0.33 | |
| 298. |
The standard error of regression is |
| A. | the square root of the variance of the error term |
| B. | an estimate of the square root of the variance of the error term |
| C. | the square root of the variance of the dependent variable |
| D. | the square root of the variance of the predictions of the dependent variable |
| Answer» D. the square root of the variance of the predictions of the dependent variable | |
| 299. |
What is the purpose of a multiple regression? |
| A. | To predict scores on a dependent variable from scores on a single independent variable |
| B. | To predict scores on an independent variable from scores on a single dependent variable |
| C. | To predict scores on an independent variable from scores on multiple dependent variables |
| D. | To predict scores on a dependent variable from scores on multiple independent variables |
| Answer» C. To predict scores on an independent variable from scores on multiple dependent variables | |
| 300. |
The value of E[X] is: |
| A. | 52/18 |
| B. | 28/9 |
| C. | 52/9 |
| D. | 28/18 |
| Answer» C. 52/9 | |
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